Journal Description
Agriculture
Agriculture
is an international, scientific peer-reviewed open access journal published monthly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), PubAg, AGRIS, RePEc, and other databases.
- Journal Rank: JCR - Q1 (Agronomy) / CiteScore - Q2 (Plant Science)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 17.7 days after submission; acceptance to publication is undertaken in 2.4 days (median values for papers published in this journal in the second half of 2023).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Companion journals for Agriculture include: Poultry, Grasses and Crops.
Impact Factor:
3.6 (2022);
5-Year Impact Factor:
3.6 (2022)
Latest Articles
Enhancing Predictive Accuracy in European Agricultural Tractor Residual Value Estimation: A Double Square Root Regression Reappraisal
Agriculture 2024, 14(5), 654; https://doi.org/10.3390/agriculture14050654 - 23 Apr 2024
Abstract
Determining the residual value of tractors is imperative for comprehensive cost analyses within the agricultural machinery sector. Despite numerous studies offering various models and independent variables, the double square root regression approach, originally developed by Cross and Perry and adapted by ASABE for
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Determining the residual value of tractors is imperative for comprehensive cost analyses within the agricultural machinery sector. Despite numerous studies offering various models and independent variables, the double square root regression approach, originally developed by Cross and Perry and adapted by ASABE for North American contexts, has been widely utilized. However, factors such as the complexity of OEM portfolios, steep price increases due to compliance with diesel emission regulations, and limited data availability in Europe and its market specificities necessitate improvements in predictive accuracy. This study evaluates different tractor cohort alternatives beyond engine horsepower to enhance predictive robustness. Incorporating brand and powertrain type alongside engine power significantly improved model performance and exhibited the strongest robustness, as evidenced by reduced the root mean square error (RMSE) and increased R-squared values. These findings contribute to the refinement of tractor residual value estimation models, offering valuable insights for stakeholders in the agricultural machinery industry.
Full article
(This article belongs to the Section Agricultural Technology)
Open AccessArticle
Optimizing Efficiency of Tea Harvester Leaf-Collection Pipeline: Numerical Simulation and Experimental Validation
by
Zhe Du, Liyuan Zhang, Xinping Li, Xin Jin and Fan Yu
Agriculture 2024, 14(5), 653; https://doi.org/10.3390/agriculture14050653 - 23 Apr 2024
Abstract
To address the challenges of missed and disorderly picking in tea harvesters, this study focused on the leaf-collection pipeline and utilized Fluent simulation 19.0 software. A single-factor test identified key parameters affecting airflow velocity. An orthogonal test evaluated the main pipe taper, number
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To address the challenges of missed and disorderly picking in tea harvesters, this study focused on the leaf-collection pipeline and utilized Fluent simulation 19.0 software. A single-factor test identified key parameters affecting airflow velocity. An orthogonal test evaluated the main pipe taper, number of branch pipes, and branch pipe outlet diameter, with average outlet wind speed and wind speed non-uniformity as indicators. The optimal parameters were a main pipe taper of 25.5 mm, 10 branch pipes, and an inner diameter of 17.10 mm for the outlet, resulting in 10.73 m/s average wind speed and 8.24% non-uniformity. Validation tests showed errors under 1%. Further optimization on the internal structure’s extension length led to 11.02 m/s average wind speed and 8.04% non-uniformity. Field experiments demonstrated a 3.40% stalk leakage rate and 90.36% bud leaf integrity rate; the optimized structure of the leaf-collecting pipeline significantly improved the uniformity of airflow and the picking efficiency. These findings offer valuable insights and practical benefits for enhancing the efficiency of tea harvesters.
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(This article belongs to the Special Issue Smart Mechanization and Automation in Agriculture)
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Open AccessArticle
Opportunity of the NEGFRY Decision Support System for the Sustainable Control of Potato Late Blight in A Limia (NW of Spain)
by
Laura Meno, Olga Escuredo and M. Carmen Seijo
Agriculture 2024, 14(5), 652; https://doi.org/10.3390/agriculture14050652 - 23 Apr 2024
Abstract
The NEGFRY system is presented in this research work as a novelty strategy for the control of potato late blight in A Limia (NW Spain). The aim was to analyse the number of fungicide applications established by NEGFRY (Decision Support System, DSS) with
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The NEGFRY system is presented in this research work as a novelty strategy for the control of potato late blight in A Limia (NW Spain). The aim was to analyse the number of fungicide applications established by NEGFRY (Decision Support System, DSS) with respect to the routine calendars of this potato production area. This approach is in accordance with the requirements imposed by European policies, participating in more profitable and environmentally friendly agriculture. For this purpose, the relationships between the pathogen and the environmental conditions and epidemiological parameters were analysed in different plots compared to late blight infection in both Routine and DSS strategies. In addition, economic and environmental impacts of fungicide sprays were also analysed to check the adaptability of the decision support system to late blight in the area. Results confirmed that it is possible to reduce sprays following the NEGFRY model by more than 50% compared with Routine applications. Therefore, NEGFRY is a promising strategy to achieve lower footprint potato yields through a reduction in applied pesticides and water, lower gas emissions and less soil compaction due to a reduction in the number of tractor passes over the soil. The commitment to this strategy contributes to improving the economy of farmers, the health of the biodiversity, the environment and consumers, as well as to comply with demands of global economies in terms of more sustainable and resilient agriculture.
Full article
(This article belongs to the Section Crop Protection, Diseases, Pests and Weeds)
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Open AccessArticle
Modeling the Mechanical Properties of Root–Substrate Interaction with a Transplanter Using Artificial Neural Networks
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Zhiwei Tian, Ang Gao, Wei Ma, Huanyu Jiang, Dongping Cao, Weizi Wang, Jianping Qian and Lijia Xu
Agriculture 2024, 14(5), 651; https://doi.org/10.3390/agriculture14050651 - 23 Apr 2024
Abstract
The mechanical properties of a plug seedling substrate determine whether it will crush during the transplantation, thereby affecting the integrity of the root system and the survival rate of transplanted seedlings. In this study, we measured eight morphological parameters of pepper seedlings using
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The mechanical properties of a plug seedling substrate determine whether it will crush during the transplantation, thereby affecting the integrity of the root system and the survival rate of transplanted seedlings. In this study, we measured eight morphological parameters of pepper seedlings using machine vision and physical methods, and the corresponding substrate mechanical parameters of the plug seedlings were tested using a texture analyzer. Based on the experimental data, a BPNN framework was constructed to predict the substrate mechanical properties of plug seedlings at different growth stages. The results indicate that the BPNN with a framework of [8, 15, 15, 1] exhibits higher R2 and lower errors. The mean absolute error (MAE), mean squared error (MSE), and mean absolute percentage error (MAPE) values are 7.669, 88.842, and 9.076%, respectively, with an R2 of 0.867. The average prediction accuracy of 20 test data set is 90.472%. Finally, predictions and experimental validations were conducted on the substrate mechanical properties of seedlings grown for 47 days. The results revealed that the BPNN achieved an average prediction accuracy of 93.282%. Additionally, it exhibited faster speed and lower computational costs. This study provides a reference for the non-intrusive estimation of substrate mechanical properties in plug seedlings and the design and optimization of transplanting an end-effector.
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(This article belongs to the Section Agricultural Technology)
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Open AccessArticle
Genetic Characterization of Gardenia jasminoides Ellis Genotypes Derived from Seeds and Selection Based on Their Morphological Traits and Flower Aromatic Substances
by
Vasiliki Anastasiadi, Stefanos Hatzilazarou, Emmanouil-Nikolaos Papadakis, Aikaterini-Angeliki Kotoula, Nikolaos Tsalouchos, Taxiarchis Labis, Athanasios Economou and Stefanos Kostas
Agriculture 2024, 14(5), 650; https://doi.org/10.3390/agriculture14050650 - 23 Apr 2024
Abstract
Gardenia jasminoides Ellis is an evergreen shrub with white fragrant flowers, and it is cultivated for its ornamental, aromatic and medicinal value. The present study aimed to select desirable genotypes for potential commercial exploitation as pot plants or use in perfumery. Thus, 32
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Gardenia jasminoides Ellis is an evergreen shrub with white fragrant flowers, and it is cultivated for its ornamental, aromatic and medicinal value. The present study aimed to select desirable genotypes for potential commercial exploitation as pot plants or use in perfumery. Thus, 32 genotypes of G. jasminoides plants derived from seedlings, whose seeds were obtained from Australia and the USA, were evaluated for their genetic diversity in relation to four commercial cultivars (‘Pelion’, ‘Joy’, ‘Grandiflora’ and ‘Kimberly’, used as reference cultivars) using ISSR and SCoT markers. A cluster analysis separated the gardenia genotypes into the following three clusters: one cluster comprised the 16 genotypes originating from Australia, one included the 16 genotypes originating from the USA, and the third cluster contained the four reference cultivars. In other words, there was a clear demarcation of the genotypes investigated according to their geographical origin. In addition, the gardenia genotypes were evaluated for their morphological and chemical characteristics. Thus, flower- and leaf-related traits with ornamental value were measured, while the volatile compounds of flower extracts were identified with GC-MS analysis. Genotype 29-5 was selected for its acceptable morphological traits and genotype 51-8 for its rich volatile compounds. The major volatile compounds responsible for the floral aroma of the various gardenia genotypes examined were α-farnesene, benzyl tiglate, cis-3-hexenyltiglate, jasminelactone and linalool.
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(This article belongs to the Special Issue Breeding of Horticultural Crops for Trait Improvement and Stress Resilience)
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Open AccessArticle
Social Network Analysis of Farmers after the Private Cooperatives’ “Intervention” in a Rural Area of China—A Case Study of the XiangX Cooperative in Shandong Province
by
Qingzhi Sun, Guanyi Yin, Wei Wei, Zhan Zhang, Guanghao Li and Shenghao Zhu
Agriculture 2024, 14(5), 649; https://doi.org/10.3390/agriculture14050649 - 23 Apr 2024
Abstract
In China, private-owned cooperatives are becoming increasingly involved in agricultural production. In order to find the key characteristics of smallholders’ social networks after the appearance of cooperatives and better organize different farmland operators, this study completed a field survey of 114 smallholders who
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In China, private-owned cooperatives are becoming increasingly involved in agricultural production. In order to find the key characteristics of smallholders’ social networks after the appearance of cooperatives and better organize different farmland operators, this study completed a field survey of 114 smallholders who adopted farmland trusteeship service of a private-owned cooperative in China and applied the social network analysis to reveal the following results. (1) Compared to the theoretical ideal value, smallholders’ social networks showed low network density, efficiency, and little relevancy. (2) In the social network of mechanical-sharing, neighbor, kinship, and labor-sharing relationships, some isolated nodes existed, but no isolated nodes are found in the synthetic network. (3) The mechanical-sharing relationship among smallholders was stronger than the other relationships. (4) Machinery owners, farmers whose plots are on the geometric center and experienced older farmers showed higher centralities in the network, but village cadres did not. (5) The centralities and QAP correlation coefficients among different networks inside the cooperative were lower than that inside a single village. As a result, this paper confirmed that the ability of cooperatives to organize farmers’ social networks is not ideal. Farmers’ trust of farmland to a cross-village cooperatives does not help them to form a larger social network than their villages. In the future, the answer to the question of “who will farm the land” will still lie with the professional farmers and highly autonomous cooperatives.
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(This article belongs to the Section Agricultural Economics, Policies and Rural Management)
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Willow (Salix acmophylla Boiss.) Leaf and Branch Extracts Inhibit In Vitro Sporulation of Coccidia (Eimeria spp.) from Goats
by
Manal Haj-Zaroubi, Nariman Mattar, Sami Awabdeh, Rawad Sweidan, Alex Markovics, Joshua D. Klein and Hassan Azaizeh
Agriculture 2024, 14(5), 648; https://doi.org/10.3390/agriculture14050648 - 23 Apr 2024
Abstract
Willow (Salix spp.) trees, found worldwide, contain secondary metabolites that are valuable as dietary supplements for animal feed and as antiparasitic compounds. We quantified secondary metabolites (phenolics, flavonoids, and salicylic acid) in ethanolic extracts from leaves and branches of three Salix acmophylla
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Willow (Salix spp.) trees, found worldwide, contain secondary metabolites that are valuable as dietary supplements for animal feed and as antiparasitic compounds. We quantified secondary metabolites (phenolics, flavonoids, and salicylic acid) in ethanolic extracts from leaves and branches of three Salix acmophylla Boiss. genotypes and investigated their potential to inhibit Eimeria sp. sporulation, a major concern in ruminants. The total phenolic content of willow leaves and branches was similar in two of three different genotypes. The total flavonoid content of the branches was significantly higher than that of leaves of the same genotype; however, the salicylic acid content was significantly higher in leaves than in branches. Importantly, all extracts exhibited significant inhibition of Eimeria sporulation, where over 70% inhibition was obtained at concentrations as low as 750 mgL−1. The sporulation inhibition by branch or leaf extracts exceeded 80% for leaves and 90% for branches at concentrations above 1250 mgL−1. The study highlights the potential of using Salix extracts as bioactive compounds for biological control of coccidiosis in ruminants. We conclude that all parts and all investigated genotypes of S. acmophylla can provide secondary metabolites that act as a coccidiostat to treat Eimeria in goats.
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(This article belongs to the Topic Effects of Dietary Interventions on Farm Animal Welfare and Production)
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Open AccessArticle
Field Assessment of Lamium album in Reducing Mycotoxin Biosynthesis in Winter Wheat Infected by Fusarium culmorum
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Pascaline Aimee Uwineza, Maria Kwiatkowska, Romuald Gwiazdowski, Łukasz Stępień, Marcin Bryła and Agnieszka Waśkiewicz
Agriculture 2024, 14(5), 647; https://doi.org/10.3390/agriculture14050647 - 23 Apr 2024
Abstract
Fungicides play a crucial role in conventional agriculture for disease control, but their prolonged use raises health and environmental concerns. Fusarium culmorum (F. culmorum), a major wheat pathogen causing Fusarium head blight (FHB) and Fusarium crown rot (FCR), poses significant mycotoxigenic
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Fungicides play a crucial role in conventional agriculture for disease control, but their prolonged use raises health and environmental concerns. Fusarium culmorum (F. culmorum), a major wheat pathogen causing Fusarium head blight (FHB) and Fusarium crown rot (FCR), poses significant mycotoxigenic threats. The application of natural plant extracts has been proven to fight against phytopathogenic fungi. This study aimed to a field experiment that was carried out at the Field Experimental Station of the Institute of Plant Protection—National Research Institute in Winna Góra, Poland, during the 2022/2023 season to evaluate the potential of Lamium album (L. album) flower extract as a foliar spray against mycotoxigenic fungi in two winter wheat varieties: Arkadia and Julius. The supercritical carbon dioxide extraction method (SC-CO2) was employed to obtain the L. album flower extract. Ergosterol (ERG) and mycotoxin accumulation in the harvested wheat grains were analyzed using chromatography-based methods. The results demonstrated a notable reduction in ERG content in the field plots treated with L. album flower extract, from 26.07 µg/g (control group) to 8.91 µg/g (extract-treated group) for Arkadia and from 70.02 µg/g (control group) to 30.20 µg/g (extract-treated group) for Julius. The treatment with L. album reduced mycotoxin biosynthesis in both varieties, with deoxynivalenol (DON) and zearalenone (ZEN) production significantly decreased. Additionally, Arkadia exhibited greater resistance to Fusarium infection, and the antifungal effect of L. album was more pronounced than in the Julius variety, which proved to be more sensitive. In conclusion, L. album flower extract exhibited promising antifungal effects in field experiments to fight against F. culmorum in winter wheat varieties, suggesting a potential alternative to synthetic fungicides. However, as complete prevention of mycotoxin contamination was not achieved, further research is warranted to optimize extract concentrations and conduct long-term analyses to consider this plant extract as a sustainable control agent.
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(This article belongs to the Special Issue Feature Papers in Agricultural Product Quality and Safety)
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Open AccessArticle
Walnut Recognition Method for UAV Remote Sensing Images
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Mingjie Wu, Lijun Yun, Chen Xue, Zaiqing Chen and Yuelong Xia
Agriculture 2024, 14(4), 646; https://doi.org/10.3390/agriculture14040646 - 22 Apr 2024
Abstract
During the process of walnut identification and counting using UAVs in hilly areas, the complex lighting conditions on the surface of walnuts somewhat affect the detection effectiveness of deep learning models. To address this issue, we proposed a lightweight walnut small object recognition
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During the process of walnut identification and counting using UAVs in hilly areas, the complex lighting conditions on the surface of walnuts somewhat affect the detection effectiveness of deep learning models. To address this issue, we proposed a lightweight walnut small object recognition method called w-YOLO. We reconstructed the feature extraction network and feature fusion network of the model to reduce the volume and complexity of the model. Additionally, to improve the recognition accuracy of walnut objects under complex lighting conditions, we adopted an attention mechanism detection layer and redesigned a set of detection heads more suitable for walnut small objects. A series of experiments showed that when identifying walnut objects in UAV remote sensing images, w-YOLO outperforms other mainstream object detection models, achieving a mean Average Precision (mAP0.5) of 97% and an F1-score of 92%, with parameters reduced by 52.3% compared to the YOLOv8s model. Effectively addressed the identification of walnut targets in Yunnan, China, under the influence of complex lighting conditions.
Full article
(This article belongs to the Special Issue Application of Vision Technology and Artificial Intelligence in Smart Farming—2nd Edition)
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Open AccessArticle
Climatic Conditions Influence the Nutritive Value of Wheat as a Feedstuff for Broiler Chickens
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Ali Khoddami, Daniel K. Y. Tan, Valeria Messina, Peter V. Chrystal, Rebecca Thistlethwaite, Robert A. Caldwell, Richard Trethowan, Mehdi Toghyani, Shemil Macelline, Yunlong Bai, Peter H. Selle and Sonia Y. Liu
Agriculture 2024, 14(4), 645; https://doi.org/10.3390/agriculture14040645 - 22 Apr 2024
Abstract
Forty wheat samples of ten wheat varieties harvested from optimal or late sowings in 2019 and 2020 were evaluated for nutrient composition. This included crude protein (CP), starch, amino acids, minerals, phytate-phosphorus (phytate-P) and non-starch polysaccharides (NSPs). The objective was to investigate the
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Forty wheat samples of ten wheat varieties harvested from optimal or late sowings in 2019 and 2020 were evaluated for nutrient composition. This included crude protein (CP), starch, amino acids, minerals, phytate-phosphorus (phytate-P) and non-starch polysaccharides (NSPs). The objective was to investigate the impact of high temperature on wheat grain quality as a feedstuff for broiler chickens. Growth performance and economic impact of such changes were predicted by the Emmans, Fisher and Gous broiler growth model. On average, 2019 was 1 °C hotter than 2020 during the growing season (Narrabri, NSW 2390, Australia). The wheat harvested in 2019 had higher concentrations of CP, phytate-P, total P and calcium. In 2019, late sowing increased average protein concentrations from 166.6 to 190.2 g/kg, decreased starch concentration from 726 to 708 g/kg and increased total NSPs from 693 to 73.9 g/kg. Unlike the 2019 harvest, the late sowing in 2020 had no impact on CP concentrations in almost all wheat varieties. The 2019 varieties had higher concentrations of 16 assessed amino acids (p < 0.001) compared to the 2020 harvest. The largest difference was in lysine (19.2%), and the smallest difference was in proline (11.1%). It was predicted that broiler diets formulated from 2019 wheat varieties would have better efficiency of feed conversion with an advantage of 2.53% (1.539 versus 1.579) than 2020 varieties to 35 days post-hatch. This would translate to a cost saving of approximately AUD 16.45 per tonne of feed, much of which would represent additional profit.
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(This article belongs to the Section Crop Production)
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Open AccessArticle
Synergy between the Waste of Natural Resources and Food Waste Related to Meat Consumption in Romania
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Teodor Ioan Trasca, Monica Ocnean, Remus Gherman, Raul Adrian Lile, Ioana Mihaela Balan, Ioan Brad, Camelia Tulcan and Gheorghe Adrian Firu Negoescu
Agriculture 2024, 14(4), 644; https://doi.org/10.3390/agriculture14040644 - 22 Apr 2024
Abstract
The study examines the dichotomy between individual dietary autonomy and the broader implications of food overconsumption and waste, particularly focusing on meat consumption’s environmental, health, and social equity aspects. In the context of increasing awareness about the negative impacts of excessive meat consumption,
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The study examines the dichotomy between individual dietary autonomy and the broader implications of food overconsumption and waste, particularly focusing on meat consumption’s environmental, health, and social equity aspects. In the context of increasing awareness about the negative impacts of excessive meat consumption, this research explores the potential benefits of modest dietary shifts, specifically a reduction in animal product intake, on natural resources and the environment. Utilizing data from international and Romanian sources, including data about meat environmental impacts, in original research, the article analyzes the water, carbon, and land use footprints associated with different types of meat, emphasizing the significant differences between beef, pork, chicken, and sheep meat. The findings highlight that even a small reduction in meat consumption, such as 100 g per week per capita, can lead to substantial decreases in water use, carbon emissions, and land use, underscoring the importance of sustainable eating habits. Moreover, the study explores the potential of plant-based proteins as viable nutritional alternatives that can mitigate environmental footprints and foster global food security. Conclusively, this work advocates for a balanced approach that respects individual choices while promoting collective responsibility towards sustainable consumption patterns, emphasizing the role of scientific research and public awareness in driving positive change in dietary habits for environmental conservation and health benefits.
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(This article belongs to the Special Issue Reducing Food Loss and Waste at the Farm Level: Seeking Sustainable Path to Food Security)
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Open AccessReview
Challenges in Sustainable Agriculture—The Role of Organic Amendments
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Manuel Matisic, Ivan Dugan and Igor Bogunovic
Agriculture 2024, 14(4), 643; https://doi.org/10.3390/agriculture14040643 - 22 Apr 2024
Abstract
Soil degradation threatens global food security and environmental sustainability, necessitating effective soil management strategies. This review comprehensively examines the impact of organic soil amendments on soil quality and productivity across various soil types and climatic conditions. A review of significant research related to
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Soil degradation threatens global food security and environmental sustainability, necessitating effective soil management strategies. This review comprehensively examines the impact of organic soil amendments on soil quality and productivity across various soil types and climatic conditions. A review of significant research related to organic amendments was performed using encompassed data from online search engines for studies published up until 31 December 2023. Despite their heterogeneity and use of varying methodologies, the data were narratively synthesized, providing a comprehensive understanding of amendment-induced changes in the chemical and physical properties of soil and the effectiveness of restoration on soil degradation. Organic amendments, including compost, vermicompost, biochar, and pomace, are pivotal in enhancing soil quality by increasing soil organic matter content, fostering aggregate formation, and improving soil structure in the short term. They positively influence water retention capacity, pH levels, nutrient availability, and carbon sequestration. In several studies, amendment-induced changes were absent, indicating that the effects of amendments vary depending on soil texture, application rates, and cropping systems, which emphasizes the need for tailored, sustainable soil management practices. This study concludes that organic amendments are a promising option for structure improvement and organic matter accumulation. It further suggests that an approach that integrates various methods is essential in order to meet desirable soil quality and retain agricultural productivity and offers valuable insights and recommendations for policymakers, practitioners, and researchers. Organic amendments can improve soil ecosystem services and contribute to climate change adaptation. In the future, more attention should be directed to tillage management and soil amendment interaction, as well as their effectiveness over specific periods of time.
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(This article belongs to the Special Issue Feature Review in Agricultural Soils—Intensification of Soil Health)
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Vegetable Production in PFALs: Control of Micro-Environmental Factors, Principal Components and Automated Systems
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Filippos Bantis, Ioanna Chatzigeorgiou, Michail Sismanis, Georgios K. Ntinas and Athanasios Koukounaras
Agriculture 2024, 14(4), 642; https://doi.org/10.3390/agriculture14040642 - 22 Apr 2024
Abstract
Plant factories with artificial lighting (PFALs) are indoor crop production systems aiming at the growth of high-value products in terms of yield and quality, while maximizing resource use efficiency. The emergence of PFALs opened a new world for crop production and offered an
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Plant factories with artificial lighting (PFALs) are indoor crop production systems aiming at the growth of high-value products in terms of yield and quality, while maximizing resource use efficiency. The emergence of PFALs opened a new world for crop production and offered an option to tackle problems related to climate change, land availability, and urban/peri-urban farming. This was made possible upon major technological advancements and extensive research in the field of controlled environment agriculture, which paved the way for the establishment of such cost-efficient and climate-unaffected modules of vegetable and other crops’ production. In the present review, we have examined the recent research achievements regarding the micro-environmental factors, the principal components, as well as the automated systems used for plant production in PFALs. Ultimately, we provide the reader with a number of future perspectives that can be considered for indoors cultivation in the following years.
Full article
(This article belongs to the Special Issue Impact of Light on Horticultural Crops—2nd Edition)
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Open AccessArticle
Dynamic Energy Use Efficiency, Carbon Input, and Agricultural Benefits of Multiple Cropping in Southern China—A Case Study from Guangdong Province
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Tantan Zhang, Siying Deng, Yanhong Li, Bowen Qing, Wu Li and Zhaowen Mo
Agriculture 2024, 14(4), 641; https://doi.org/10.3390/agriculture14040641 - 22 Apr 2024
Abstract
Background: With the purpose of exploring the development of new quality productive forces in Guangdong, the present study hypothesized that reducing energy and carbon inputs was beneficial for increasing Guangdong’s multi-cropping agricultural energy output and economic returns. Methods: The energy use efficiency of
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Background: With the purpose of exploring the development of new quality productive forces in Guangdong, the present study hypothesized that reducing energy and carbon inputs was beneficial for increasing Guangdong’s multi-cropping agricultural energy output and economic returns. Methods: The energy use efficiency of crop production and the corresponding carbon input and agricultural benefit trends from 2011 to 2021 were examined by linear regression analysis for Guangdong Province, China. The corresponding development trends were also predicted using a grey model. Results: The results indicated that the total energy output increased by 12.50%, wherein the energy productivity levels of peanuts, vegetables, mulberry, and fruits increased greatly (51.27–106.17%), while the total energy input and the total carbon input decreased by 12.17% and 6.37%, respectively. Moreover, the energy input per carbon input decreased by 6.19%, while the energy output per carbon input increased by 20.15%. Both energy-related indicators and economic-related indicators all had substantially increased (28.08–44.97% and 83.86–120.91%, respectively). Grey model predictions show that the agricultural output value increased steadily under the current agricultural policy of reducing fossil energy input. Conclusions: The current low-carbon and high-output agricultural model is beneficial for increasing Guangdong’s multi-cropping agricultural economic returns and mitigating greenhouse effects.
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(This article belongs to the Section Agricultural Systems and Management)
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Monitoring and Genetic Characterization of Historical Grapevine Varieties (V. vinifera ssp.) from Styria in Slovenia
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Stanko Vršič, Oliver Trapp, Erika Maul, Franco Röckel and Andrej Perko
Agriculture 2024, 14(4), 640; https://doi.org/10.3390/agriculture14040640 - 22 Apr 2024
Abstract
The aim of this research work was to find historical varieties that existed in this area before phylloxera and to identify them on the basis of historical written sources and genetic analyses. At the beginning of the 19th century, around 300 grape varieties
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The aim of this research work was to find historical varieties that existed in this area before phylloxera and to identify them on the basis of historical written sources and genetic analyses. At the beginning of the 19th century, around 300 grape varieties were cultivated in Styria. Between 2020 and 2022, old vineyards were monitored at 115 locations in Styria (between the Mura and Sava rivers) in Slovenia. The directly collected samples (340 grapevine accessions) were determined by molecular analysis with 24 SSR markers. A total of 66 different genotypes were detected. After comparison with the available databases, 29 historical varieties and 37 unknown historical genotypes were identified. Several parameters were calculated to evaluate the usefulness of the selected loci in this work, and a dendrogram representing the genetic similarities between the origins was created using the neighbor-joining method to investigate possible ancestry relationships in the sample set. The most common historical varieties were ‘Belina’ (‘Heunisch weiss’), ‘Vrbovec’ (‘Tantovina Eihenblaetrige’), ‘Ranfol’ (‘Ranfol beli’), and ‘Pelesovna’ (‘Vulpea’). Varieties from the current variety list were also frequently found, such as ‘Frankinja’ (‘Blaufraenkisch’) and ‘Žametovka’ (‘Kavčina črna’). In a few locations, one of the most important red varieties from the beginning of the 20th century was also found in this area (alongside ‘Frankinja’ and ‘Žametovka’), i.e., ‘Vranek’ (‘Zimmettraube balu’). At that time, this variety was planted in multi-variety vineyards and was preserved, but its importance in single-variety vineyards quickly declined due to female flower. In addition, genetic analyses have shown that 37 unknown historical genotypes have been found in this area. These genotypes need to be described ampelographically and technologically evaluated in the future. Most of the vegetative offsprings of these genotypes have already been transferred to the Meranova gene bank, where they can be accurately described ampelographically under the same pedoclimatic conditions.
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(This article belongs to the Section Genotype Evaluation and Breeding)
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Solid-State Fermentation Using Bacillus licheniformis-Driven Changes in Composition, Viability and In Vitro Protein Digestibility of Oilseed Cakes
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Dan Rambu, Mihaela Dumitru, Georgeta Ciurescu and Emanuel Vamanu
Agriculture 2024, 14(4), 639; https://doi.org/10.3390/agriculture14040639 - 22 Apr 2024
Abstract
The solid-state fermentation (SSF) efficiency of Bacillus licheniformis ATCC 21424 (BL) on various agro-industrial by-products such as oilseed cakes [hemp (HSC), pumpkin (PSC), and flaxseed (FSC)] was evaluated by examining the nutritional composition, reducing sugars, and in vitro protein digestibility (IVPD) for use
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The solid-state fermentation (SSF) efficiency of Bacillus licheniformis ATCC 21424 (BL) on various agro-industrial by-products such as oilseed cakes [hemp (HSC), pumpkin (PSC), and flaxseed (FSC)] was evaluated by examining the nutritional composition, reducing sugars, and in vitro protein digestibility (IVPD) for use in animal nutrition. SSF significantly decreased crude protein, along with changes in the total carbohydrates (p < 0.05) for all substrates fermented. An increase in crude fat for HSC (1.04%) and FSC (1.73%) was noted, vs. PSC, where the crude fat level was reduced (−3.53%). Crude fiber does not differ significantly between fermented and nonfermented oilseed cakes (p > 0.05). After fermentation, neutral detergent fiber (NDF) and acid detergent fiber (ADF) significantly increased for HSC and FSC (p < 0.05), as well as for PSC despite the small increase in ADF (4.46%), with a notable decrease in NDF (−10.25%). During fermentation, pH shifted toward alkalinity, and after drying, returned to its initial levels for all oilseed cakes with the exception of PSC, which maintained a slight elevation. Further, SSF with BL under optimized conditions (72 h) increases the reducing sugar content for FSC (to 1.46%) and PSC (to 0.89%), compared with HSC, where a reduction in sugar consumption was noted (from 1.09% to 0.55%). The viable cell number reached maximum in the first 24 h, followed by a slowly declining phase until the end of fermentation (72 h), accompanied by an increase in sporulation and spore production. After 72 h, a significant improvement in water protein solubility for HSC and FSC was observed (p < 0.05). The peptide content (mg/g) for oilseed cakes fermented was improved (p < 0.05). Through gastro-intestinal simulation, the bacterial survivability rate accounted for 90.2%, 101.5%, and 85.72% for HSC, PSC, and FSC. Additionally, IVPD showed significant improvements compared to untreated samples, reaching levels of up to 65.67%, 58.94%, and 80.16% for HSC, PSC, and FSC, respectively. This research demonstrates the advantages of oilseed cake bioprocessing by SSF as an effective approach in yielding valuable products with probiotic and nutritional properties suitable for incorporation into animal feed.
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(This article belongs to the Special Issue Feeding Strategies and Nutritional Quality of Animal Products—Volume II)
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Open AccessArticle
Rice Yield Estimation Using Multi-Temporal Remote Sensing Data and Machine Learning: A Case Study of Jiangsu, China
by
Zhangxin Liu, Haoran Ju, Qiyun Ma, Chengming Sun, Yuping Lv, Kaihua Liu, Tianao Wu and Minghan Cheng
Agriculture 2024, 14(4), 638; https://doi.org/10.3390/agriculture14040638 - 22 Apr 2024
Abstract
Effective estimation of crop yields at a regional scale holds significant importance in facilitating decision-making within the agricultural sector, thereby ensuring grain security. However, traditional ground-based measurement techniques suffer from inefficiencies, and there exists a need for a reliable, precise, and effective method
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Effective estimation of crop yields at a regional scale holds significant importance in facilitating decision-making within the agricultural sector, thereby ensuring grain security. However, traditional ground-based measurement techniques suffer from inefficiencies, and there exists a need for a reliable, precise, and effective method for estimating regional rice yields. In this study, we employed four machine-learning techniques: partial least squares regression (PLSR), support vector regression (SVR), random forest regression (RFR), and back propagation neural network (BPNN). We combined these methods with multi-temporal rice NDVI (normalized difference vegetation index) data for rice yield estimation. Following an accuracy evaluation and a spatial analysis, the key findings of our study are as follows. (1) The RFR model emerged as the most accurate for rice yield estimation, achieving an R2 of 0.65, an RMSE of 388.79 kg/ha, and an rRMSE of 4.48%. While PLSR and SVR demonstrated comparable accuracy, they were both inferior to RFR. (2) Using the top seven predictors with the highest importance rankings as inputs for the RFR model (NDVI values on the 6th, 17th, 33rd, 44th, 71st, 90th, and 106th days after the rice transplanting stage) achieved comparable accuracy while reducing information redundancy. (3) The proposed model demonstrated good spatial applicability (MI = −0.03) for rice yield estimation in Jiangsu, China. (4) A high spatial resolution yearly rice yield dataset (1 km) spanning from 2001 to 2020 was generated using the proposed model and is accessible on the Zenodo database. In conclusion, this study has demonstrated the efficacy of combining multi-temporal remote sensing data with machine-learning techniques for accurate rice yield estimation, thereby aiding agricultural authorities and production enterprises in the timely formulation and refinement of cropping strategies and management policies for the ongoing season.
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(This article belongs to the Section Digital Agriculture)
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AM-UNet: Field Ridge Segmentation of Paddy Field Images Based on an Improved MultiResUNet Network
by
Xulong Wu, Peng Fang, Xing Liu, Muhua Liu, Peichen Huang, Xianhao Duan, Dakang Huang and Zhaopeng Liu
Agriculture 2024, 14(4), 637; https://doi.org/10.3390/agriculture14040637 - 21 Apr 2024
Abstract
In order to solve the problem of image boundary segmentation caused by the irregularity of paddy fields in southern China, a high-precision segmentation method based on the improved MultiResUNet model for paddy field mapping is proposed, combining the characteristics of paddy field scenes.
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In order to solve the problem of image boundary segmentation caused by the irregularity of paddy fields in southern China, a high-precision segmentation method based on the improved MultiResUNet model for paddy field mapping is proposed, combining the characteristics of paddy field scenes. We introduce the attention gate (AG) mechanism at the end of the encoder–decoder skip connections in the MultiResUNet model to generate the weights and highlight the response of the field ridge area, add an atrous spatial pyramid pooling (ASPP) module after the end of the encoder down-sampling, use an appropriate combination of expansion rates to improve the identification of small-scale edge details, use 1 × 1 convolution to improve the range of the sensory field after bilinear interpolation to increase the segmentation accuracy, and, thus, construct the AM-UNet paddy field ridge segmentation model. The experimental results show that the IoU, precision, and F1 value of the AM-UNet model are 88.74%, 93.45%, and 93.95%, respectively, and that inference time for a single image is 168ms, enabling accurate and real-time segmentation of field ridges in a complex paddy field environment. Thus, the AM-UNet model can provide technical support for the development of vision-based automatic navigation systems for agricultural machines.
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(This article belongs to the Section Digital Agriculture)
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Intercropping Industrial Hemp and Cowpea Enhances the Yield of Squash—A Pollinator-Dependent Crop
by
Beatrice N. Dingha, Gilbert N. Mukoko, Ikponmwosa N. Egbon and Louis E. Jackai
Agriculture 2024, 14(4), 636; https://doi.org/10.3390/agriculture14040636 - 20 Apr 2024
Abstract
Cultural crop-production practices are not only engineered to minimize pest incidence but also improve resource use efficiency and increase the diversity of habitat for beneficial insects that provide pollination services. With the increasing cultivation of industrial hemp and the benefits associated with the
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Cultural crop-production practices are not only engineered to minimize pest incidence but also improve resource use efficiency and increase the diversity of habitat for beneficial insects that provide pollination services. With the increasing cultivation of industrial hemp and the benefits associated with the cultivation of multiple crops, its integration into a polyculture cropping system remains to be evaluated. We intercropped two pollinator-attractive crops, hemp and cowpea, with squash, a pollinator-dependent crop, to evaluate the impact of pollinator abundance and diversity on crop yield. Intercropping significantly increased the overall abundance of pollinators with 79.1% recorded from the intercropping systems compared to 21.9% in the monocropping systems. Sweat bees and bumble bees were the most abundant bees, and Squash+Cowpea was the most diverse cropping system. Intercropping significantly increased the yield of squash with higher squash yield (155%) in Hemp+Squash and (161%) in Squash+Cowpea than in squash monocrop. Also, intercropping resulted in higher hemp yield (64%) in Hemp+Cowpea and (165%) in Hemp+Squash compared to hemp monocrop. This study demonstrated that agricultural systems such as intercropping that are designed to attract pollinators are much more productive by not only improving crop yield but also growers’ returns on investments.
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(This article belongs to the Special Issue Bees as a Tool for Agricultural Production)
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Design and Test of Disturbed Fertilizer Strip-Ejection Device with Vertical Pendulum Bar Based on Discrete Element Method
by
Lintao Chen, Xiangwu Deng, Zhaoxiang Liu, Xiangwei Mou, Xu Ma and Rui Chen
Agriculture 2024, 14(4), 635; https://doi.org/10.3390/agriculture14040635 - 20 Apr 2024
Abstract
Fertilizer can improve the yield of crops per unit area, and uniform fertilizer discharge can improve the fertilizer utilization rate. Therefore, it is meaningful to improve the performance of fertilizer-discharge devices in order to improve the modernization level of crop field fertilizer management.
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Fertilizer can improve the yield of crops per unit area, and uniform fertilizer discharge can improve the fertilizer utilization rate. Therefore, it is meaningful to improve the performance of fertilizer-discharge devices in order to improve the modernization level of crop field fertilizer management. To address the problems of operational smoothness, stability and poor uniformity of fertilizer discharge, and other difficult problems encountered with strip fertilizer-discharge devices, this study designs a disturbed fertilizer strip-discharge device with a vertical pendulum. The main factors affecting the performance of fertilizer discharge were the wedge angle of the push-disturbing main pendulum bar (PMPB), the inclination angle of the aided-stirring pendulum pick (APP), the flow gap of the pendulum bar (FGPB), and the operation frequency of the swing-rod combination (SRC). The discrete element method (DEM) was used to establish a simulation model of the fertilizer device to explore the influence of the main factors on the performance of fertilizer discharge, with the coefficient of variation (CV) of fertilizer discharge uniformity and fertilizer discharge accuracy (FDA) used as the evaluation indices. The results show that the factors affecting the CV of fertilizer discharge uniformity and FDA were, in order of priority, the operation frequency of the SRC, the FGPB, the wedge angle of the PMPB, and the inclination angle of the APP. The optimal parameters after rounding were as follows: the wedge angle of the PMPB was 45°, the inclination angle of the APP was 46°, the operation frequency of the SRC was 188 times/min, and the FGPB was 4.5 mm. At this point, the model predicted that the CV of fertilizer discharge uniformity would be 10.53%, and that the FDA would be 3.19%. Using the optimal parameters for bench test verification, it was found that the wedge angle of the PMPB was 45°, the inclination angle of the APP was 46°, the operation frequency of the SRC was 188 times/min, the FGPB was 4.5 mm, the CV of the uniformity of the fertilizer discharge was 11.06%, and the FDA was 3.51%. In the test, the fertilizer-discharge device was stable and had good adaptability to different fertilizers. The results of this study can provide a theoretical reference for the development of precision strip-fertilizer application devices.
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(This article belongs to the Special Issue Smart Mechanization and Automation in Agriculture)
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