Agriculture最新文献

{"title":"Visualizing a Sustainable Future in Rural Romania: Agrotourism and Vernacular Architecture","authors":"Raul-Cătălin Oltean, Carl T. Dahlman, Felix H. Arion","doi":"10.3390/agriculture14081219","DOIUrl":"https://doi.org/10.3390/agriculture14081219","url":null,"abstract":"In Romania, rural communities grapple with decades of depopulation and economic decline, endangering the natural and cultural richness of their landscapes. The implementation of Romania’s 2030 sustainable development plan presents an opportunity to reverse these trends by merging economic and community development with cultural preservation. This paper examines the potential for creating new livelihood opportunities through a program that integrates sustainable agrotourism with culturally appropriate vernacular architecture in Romania’s distinct rural regions. Focusing on two such regions characterized by significant rural population decline yet endowed with ecological services capable of supporting a diverse rural economy, we collaborated with an architect and landscape engineer to devise three specific and detailed agritourist housing scenarios. These scenarios draw upon local architectural forms harmonious with the vernacular landscape, providing accommodations for agrotourism guests and facilitating craft workshops for visitors interested in rural crafts and traditions. We evaluated the cultural appropriateness of the architectural designs through a social survey and assessed the broader social utility of the development plan via an expansive cost–benefit analysis, treating the project’s sustainability features as quasi-public goods. Such interdisciplinary endeavours are essential for effectively bridging conceptually driven social analysis with pragmatic design and planning strategies, essential for achieving sustainable futures for rural communities and landscapes, as exemplified by rural Romania.","PeriodicalId":7447,"journal":{"name":"Agriculture","volume":"40 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141808486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Why Do Farmers Not Irrigate All the Areas Equipped for Irrigation? Lessons from Southern Africa","authors":"L. Nhamo, S. Mpandeli, S. Liphadzi, T. L. Dirwai, H. Mugiyo, Aidan Senzanje, Bruce A Lankford, T. Mabhaudhi","doi":"10.3390/agriculture14081218","DOIUrl":"https://doi.org/10.3390/agriculture14081218","url":null,"abstract":"The reliance on rainfed agriculture exposes southern Africa to low agricultural productivity and food and nutritional insecurity; yet, the region is endowed with vast irrigation potential. Extreme weather events including drought, floods, and heatwaves exacerbate the existing challenges, underscoring the need to improve agricultural water management as a climate change adaptation strategy. This mixed-methods review followed the Search, Appraisal, Synthesis, and Analysis (SALSA) framework to explore the irrigation opportunities and challenges in southern Africa by critically analysing the drivers and constraints of irrigation systems in southern Africa. The premise is to understand the reasons behind the abandonment of some of the areas equipped for irrigation. In cases where irrigation systems are present, the study assesses whether such technologies are effectively being used to generate the expected agricultural productivity gains, and what factors, in cases where that is not the case, constrain farmers from fully using the existing infrastructure. The review further discusses the enabling environment supporting irrigated agriculture and the role of gender in irrigation development. An assessment of the role of women in agriculture on the share of land equipped for irrigation to total cultivated land area, as well as on the proportion of the area equipped for irrigation versus the area that is actually irrigated is conducted. The review found a divergence between countries’ land areas equipped for irrigation and actually irrigated areas. Specific to irrigation expansion, the review rebuts the notion that increasing the irrigated area increases crop production and ensures food security. This may not always be true as irrigation development needs to consider the impacts on other closely linked water and energy sectors through transformative approaches like the water–energy–food (WEF) nexus and scenario planning. If well-planned and implemented, sustainable irrigated agriculture could be catalytic to transforming southern Africa’s food system to be inclusive, equitable, socially just, and resilient, benefiting people and the planet.","PeriodicalId":7447,"journal":{"name":"Agriculture","volume":"49 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141808256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Antifungal and Inhibitory Effects of Massoia Essential Oil and C10 Massoia Lactone on Mycotoxin Production in Fusarium graminearum KACC 41047","authors":"Jieun Lee, Sung-Eun Lee","doi":"10.3390/agriculture14081216","DOIUrl":"https://doi.org/10.3390/agriculture14081216","url":null,"abstract":"In wheat and barley, Fusarium head blight is mainly caused by Fusarium graminearum, and its control is based on the agricultural practices of not leaving crop residues in the field, growing phytopathogenic fungi-resistant varieties, biological control, and chemical treatment, including using fungicides. Here, we investigated the antifungal and antimycotoxigenic activities of Massoia essential oil (MEO) and C10 Massoia lactone (C10) on Fusarium graminearum KACC 41047. Because DMSO, which was used as a solvent in this study, exhibited antifungal activity at 5% in a fungal growth medium, it was used in the antifungal and antimycotoxigenic experiments at 0.05%. Three assays were used to investigate the antifungal activities of MEO and C10, which exhibited potent antifungal activity in the agar dilution assay, with complete fungal growth inhibition at 100 mg/L. At 5–50 mg/L, MEO and C10 suppressed deoxynivalenol and 15-acetyl-deoxynivalenol production by >50% by downregulating the Tri10 gene, which expresses trichodiene synthase. MEO and C10 might be potent antifungal agents for F. graminearum control with less toxicological concerns because they are GRAS chemicals.","PeriodicalId":7447,"journal":{"name":"Agriculture","volume":"15 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141808800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classification of Garlic (Allium sativum L.) Crops by Fertilizer Differences Using Ground-Based Hyperspectral Imaging System","authors":"Hwanjo Chung, Seunghwan Wi, Byoung-Kwan Cho, Hoonsoo Lee","doi":"10.3390/agriculture14081215","DOIUrl":"https://doi.org/10.3390/agriculture14081215","url":null,"abstract":"In contemporary agriculture, enhancing the efficient production of crops and optimizing resource utilization have become paramount objectives. Garlic growth and quality are influenced by various factors, with fertilizers playing a pivotal role in shaping both aspects. This study aimed to develop classification models for distinguishing garlic fertilizer application differences by employing statistical and machine learning techniques, such as partial least squares (PLS), based on data acquired from a ground-based hyperspectral imaging system in the agricultural sector. The garlic variety chosen for this study was Hongsan, and the fertilizer application plots were segmented into three distinct sections. Data were acquired within the VIS/NIR wavelength range using hyperspectral imaging. Following data acquisition, the standard normal variate (SNV) pre-processing technique was applied to enhance the dataset. To identify the optimal wavelengths, various techniques such as sequential forward selection (SFS), successive projections algorithm (SPA), variable importance in projection (VIP), and interval partial least squares (iPLS) were employed, resulting in the selection of 12 optimal wavelengths. For the fertilizer application difference model, six integrated vegetation indices were chosen for comparison with existing growth indicators. Using the same methodology, the model construction showed accuracies of 90.7% for PLS. Thus, the proposed model suggests that efficient regulation of garlic fertilizer application can be achieved by utilizing statistical and machine learning techniques.","PeriodicalId":7447,"journal":{"name":"Agriculture","volume":"44 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141807156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Use of Bacteria, Actinomycetes and Fungi in the Bioprotection of Solanaceous Crops against Tobacco Mosaic Virus (TMV)","authors":"A. Trojak-Goluch","doi":"10.3390/agriculture14081220","DOIUrl":"https://doi.org/10.3390/agriculture14081220","url":null,"abstract":"Tobacco mosaic virus (TMV) is one of the most persistent and infectious plant viruses. The substantial economic losses caused by TMV in the production of tobacco and vegetables (especially in the Solanaceae family) are prompting the introduction of innovative solutions that effectively inhibit infection by this pathogen. Biological control agents based on bacteria of the genera Pseudomonas, Bacillus, Pantoea and actinomycetes are becoming increasingly popular in the fight against TMV. Some fungi, including Fusarium spp., Trichoderma spp., Alternaria spp. and Sepedonium spp., as well as wood-rotting fungi, also exhibit high anti-TMV activity. This article presents a comprehensive review of recent scientific advances in the bioprotection of selected solanaceous crops against TMV. It provides information on the structure of the virus, its host range, pathogenicity and the severity of losses caused in pepper, tomato and tobacco production. The review characterises environmentally safe techniques involving biological control agents naturally occurring in the environment and the bioactive compounds extracted from them. It also identifies their effects on crops at the morphological, physiological and molecular levels. In addition, the manuscript outlines prospects for the future applications of beneficial micro-organisms and active compounds derived from them in the protection against TMV.","PeriodicalId":7447,"journal":{"name":"Agriculture","volume":"60 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141809308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the Dynamic Evaluation of the Competitiveness of Listed Seed Enterprises in China","authors":"Lanlan Li, Lu Zhang, Xiudong Wang","doi":"10.3390/agriculture14081213","DOIUrl":"https://doi.org/10.3390/agriculture14081213","url":null,"abstract":"Seed enterprises are crucial for ensuring national food security, the driving force behind the seed industry’s advancement, and the core entity in constructing a modern seed industry system. At the micro and macro levels, agricultural seed enterprises face challenges and pressures in earning excess profits, enhancing their competitive edge, and resisting the incursion of multinational seed enterprises. This article selects panel data from 49 listed seed enterprises in China from 2015 to 2022 and uses methods such as global principal component analysis (GPCA) and Q-type cluster analysis to measure and evaluate the competitiveness of Chinese seed enterprises. Research has found that: (1) From 2015 to 2022, the overall competitiveness of listed Chinese agricultural seed enterprises has shown an upward trend. The competitiveness of agricultural seed enterprises can be further decomposed into operational capabilities, growth capabilities, production efficiency, technological innovation capabilities, etc. (2) The top ten agricultural seed enterprises in China have obvious advantages in operational and technological innovation capabilities, but their growth capabilities and production efficiency are insufficient. (3) Regarding the vertical comparison of the seed industry, the ranking of the competitiveness of Chinese listed agricultural seed enterprises from strong to weak is wheat seed enterprises > other seed enterprises > melon and vegetable seed enterprises > corn seed enterprises > rice seed enterprises. (4) Compared with international seed industry giants, there are various reasons why China’s top agricultural seed enterprises have weaker competitiveness, specifically reflected in research and development investment, scale and market share, industrial layout, and other aspects. The findings of this research offer empirical evidence to bolster the competitiveness of seed enterprises and advance the seed industry, while also aiding in fortifying the nation’s strategic oversight of the seed sector, bearing profound implications for safeguarding food security.","PeriodicalId":7447,"journal":{"name":"Agriculture","volume":"56 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141807138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Multi-Step Fruit Color Prediction Model of Tomato in Solar Greenhouse Based on Time Series Data","authors":"Shufeng Liu, Hongrui Yuan, Yanping Zhao, Tianhua Li, Linlu Zu, Siyuan Chang","doi":"10.3390/agriculture14081211","DOIUrl":"https://doi.org/10.3390/agriculture14081211","url":null,"abstract":"Color change is the most obvious characteristic of the tomato ripening stage and an important indicator of the tomato ripening condition, which directly affects the commodity value of tomato. To visualize the color change of tomato fruit during the mature stage, this paper proposes a gated recurrent unit network with an encoder–decoder structure. This structure dynamically simulates the growth and development of tomatoes using time-dependent lines, incorporating real-time information such as tomato color and shape. Firstly, the .json file was converted into a mask.png file, the tomato mask was extracted, and the tomato was separated from the complex background environment, thus successfully constructing the tomato growth and development dataset. The experimental results showed that for the gated recurrent unit network with the encoder–decoder structure proposed, when the hidden layer number was 1 and hidden layer number was 512, a high consistency and similarity between the model predicted image sequence and the actual growth and development image sequence was realized, and the structural similarity index measure was 0.746. It was proved that when the average temperature was 24.93 °C, the average soil temperature was 24.06 °C, and the average light intensity was 11.26 Klux, the environment was the most suitable for tomato growth. The environmental data-driven tomato growth model was constructed to explore the growth status of tomato under different environmental conditions, and thus, to understand the growth status of tomato in time. This study provides a theoretical foundation for determining the optimal greenhouse environmental conditions to achieve tomato maturity and it offers recommendations for investigating the growth cycle of tomatoes, as well as technical assistance for standardized cultivation in solar greenhouses.","PeriodicalId":7447,"journal":{"name":"Agriculture","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141807061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review and Research Prospects on Additive Manufacturing Technology for Agricultural Manufacturing","authors":"Yongzong Lu, Weixuan Xu, Junyi Leng, Xiaoyue Liu, Heyang Xu, Hengnan Ding, Jianfei Zhou, Longfei Cui","doi":"10.3390/agriculture14081207","DOIUrl":"https://doi.org/10.3390/agriculture14081207","url":null,"abstract":"Additive manufacturing (AM), also known as three-dimensional (3D) printing, is a manufacturing technology that constructs objects by sequentially adding material layer by layer. AM encompasses a range of different techniques capable of working with very different materials from metals and alloys to polymers and composites. As an advanced fabrication technology, AM is characterized by strong design flexibility, the ability to create intricate structures, and cost-effectiveness when compared to conventional fabrication methods. AM technology is widely employed in various sectors such as aerospace, healthcare, and industrial manufacturing, and its application is increasingly expanding into agricultural manufacturing. This study provides a comprehensive review and analysis of the current status of AM technology applied in the five main agricultural manufacturing aspects such as the application of AM technology in the manufacturing of agricultural equipment parts, its use in agricultural sensors, its role in the utilization of agricultural waste, its application in the field of plant growth mechanisms and in phytoremediation tissues. The current existing problems of AM technology and future development trends are also included to provide the implications for researchers. The adoption of AM technology in agriculture offers significant advantages, including enhanced production efficiency, cost reduction, innovation facilitation, and environmental protection. From initial prototyping to custom production today, AM technology provides more flexible, efficient and sustainable solutions for agricultural manufacturing. Especially in the fields of agricultural machinery, planting facilities and agricultural biomaterials, the application of AM technology has shown great potential and advantages. With the continuous advancement in technology and the reduction of costs, AM technology will become more popular and play a more vital role in agricultural manufacturing. In the future, we can foresee that AM will realize the manufacturing of agricultural products with higher precision, a more complex structure and more functions, providing more intelligent and personalized solutions for agricultural production. As such, it is emerging as a critical driving force in the advancement of precision agriculture.","PeriodicalId":7447,"journal":{"name":"Agriculture","volume":"140 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141810799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Saline–Alkali Soil Reclamation Contributes to Soil Health Improvement in China","authors":"Wei Zhu, Shiguo Gu, Rui Jiang, Xin Zhang, Ryusuke Hatano","doi":"10.3390/agriculture14081210","DOIUrl":"https://doi.org/10.3390/agriculture14081210","url":null,"abstract":"Soil salinization is a significant threat to soil health, especially to the agricultural ecosystem; it reduces vegetation biomass, destroys ecosystem diversity, and limits land use efficiency. This area of investigation has garnered extensive attention in China, especially in the arid and semi-arid areas, totaling 7.66 × 106 ha. A variety of theoretical research and technology developments have contributed to soil water and salt regulation and the screening of salt-tolerant varieties to improve nutrient utilization efficiency and microbial control and reduce ecological problems due to saline-based obstacles. These techniques can be classified into physical treatments, chemical treatments, biological treatments, and combined treatments; these different measures are all aimed at primarily solving saline–alkali stress. In general, the improvement and utilization of saline–alkali soil contribute to soil health improvement, concentrating on high-quality development, food security, ecological security, cultivated land protection, and agricultural upgrading. However, the risks of various technologies in the practical production process should be highlighted; green and healthy measures are still expected to be applied to saline–alkali land.","PeriodicalId":7447,"journal":{"name":"Agriculture","volume":"65 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141810760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Integrated Route and Path Planning Strategy for Skid–Steer Mobile Robots in Assisted Harvesting Tasks with Terrain Traversability Constraints","authors":"R. Urvina, César Leonardo Guevara, J. P. Vásconez, A. Prado","doi":"10.3390/agriculture14081206","DOIUrl":"https://doi.org/10.3390/agriculture14081206","url":null,"abstract":"This article presents a combined route and path planning strategy to guide Skid–Steer Mobile Robots (SSMRs) in scheduled harvest tasks within expansive crop rows with complex terrain conditions. The proposed strategy integrates: (i) a global planning algorithm based on the Traveling Salesman Problem under the Capacitated Vehicle Routing approach and Optimization Routing (OR-tools from Google) to prioritize harvesting positions by minimum path length, unexplored harvest points, and vehicle payload capacity; and (ii) a local planning strategy using Informed Rapidly-exploring Random Tree (IRRT*) to coordinate scheduled harvesting points while avoiding low-traction terrain obstacles. The global approach generates an ordered queue of harvesting locations, maximizing the crop yield in a workspace map. In the second stage, the IRRT* planner avoids potential obstacles, including farm layout and slippery terrain. The path planning scheme incorporates a traversability model and a motion model of SSMRs to meet kinematic constraints. Experimental results in a generic fruit orchard demonstrate the effectiveness of the proposed strategy. In particular, the IRRT* algorithm outperformed RRT and RRT* with 96.1% and 97.6% smoother paths, respectively. The IRRT* also showed improved navigation efficiency, avoiding obstacles and slippage zones, making it suitable for precision agriculture.","PeriodicalId":7447,"journal":{"name":"Agriculture","volume":"91 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141812371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}