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Xiaoyu Yin, Jia Li, Jingyi Wu, Ruihan Cao, Siqian Xin and Jianxu Liu
Geographical indications (GIs) mitigate information asymmetry in agri-food transactions by providing consumers with origin and quality information. This paper explores the impact of GIs on rural development in China by examining agricultural output and f...
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Jiuyuan Zhang, Jingshan Lu, Qiuyan Zhang, Qimo Qi, Gangjun Zheng, Fadi Chen, Sumei Chen, Fei Zhang, Weimin Fang and Zhiyong Guan
Crown diameter is one of the crucial indicators for evaluating the adaptability, growth quality, and ornamental value of garden chrysanthemums. To accurately obtain crown diameter, this study employed an unmanned aerial vehicle (UAV) equipped with a RGB ...
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Azizullah Khalili, Ahlam Khalofah, Aketi Ramesh and Mahaveer P. Sharma
Nitrogen (N) and sulfur (S) are essential nutrient elements, and their deficiency affects crop growth, productivity, and nutrient uptake due to their multifaceted role in plant metabolism, which has been well documented. Therefore, agricultural managemen...
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Dana Catalina Popa, Yolanda Laurent, Razvan Alexandru Popa, Adrian Pasat, Mihaela Balanescu, Ekaterina Svertoka, Elena Narcisa Pogurschi, Livia Vidu and Monica Paula Marin
This research introduces an innovative platform designed to manage greenhouse gas (GHG) emissions in mixed farms. Emphasizing the urgent need to address GHG emissions, particularly methane (CH4) and nitrous oxide (N2O), the platform targets mixed farming...
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Mykhailo Lohachov, Ryoji Korei, Kazuo Oki, Koshi Yoshida, Issaku Azechi, Salem Ibrahim Salem and Nobuyuki Utsumi
This article investigates approaches for broccoli harvest time prediction through the application of various machine learning models. This study?s experiment is conducted on a commercial farm in Ecuador, and it integrates in situ weather and broccoli gro...
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