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Kangwen Zhu, Yan Zhang, Xiaosong Tian, Dongjie Guan, Sheng Zhang, Yong He and Lilei Zhou
Analysis of the relationship between future land use change and agricultural non-point source pollution (ANPSP) evolution is vital to promoting sustainable regional development. By simulating future land use types, we can identify and analyze the evoluti...
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Xinyan Song, Chengyue Wang and Wenxin Liu
Purpose: Improving agricultural carbon-output efficiency is an important path to realize the ?double carbon? goal in the Yellow River Basin. In the context of rapid urbanization development, it is significant to explore whether promoting urbanization wil...
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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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Dario Macaluso, Francesco Licciardo and Katya Carbone
In recent years, the primary sector in Italy and elsewhere has been profoundly affected by climate change and a deep economic crisis, mainly linked to stagnating prices and rising production costs. Because of this situation, we are witnessing renewed int...
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Longfei Cui, Feixiang Le, Xinyu Xue, Tao Sun and Yuxuan Jiao
The application of robotics has great implications for future food security, sustainable agricultural development, improving resource efficiency, reducing chemical pesticide use, reducing manual labor, and maximizing field output. Aiming at the problems ...
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Silin Chen and Xiangyu Guo
Green agricultural development opens up a feasible way for China to construct sustainable communities and promote rural revitalization strategies. However, a clear gap on the subject sets apart various regions in China, resulting in off-balance developme...
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Claudiu George Bocean
Amidst the rapid evolution of digital technologies and their prospective implications for agricultural productivity, farmers are increasingly turning to Agriculture 4.0. As digitization permeates every facet of agriculture, the potential for boosting pro...
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Sairoel Amertet Finecomess, Girma Gebresenbet and Hassan Mohammed Alwan
In an agricultural system, finding suitable watering, pesticides, and soil content to provide the right nutrients for the right plant remains challenging. Plants cannot speak and cannot ask for the food they require. These problems can be addressed by ap...
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Haipeng Lin, Xuefeng Song, Fei Dai, Fengwei Zhang, Qiang Xie and Huhu Chen
Hardness is a critical mechanical property of grains. Accurate predictions of grain hardness play a crucial role in improving grain milling efficiency, reducing grain breakage during transportation, and selecting high-quality crops. In this study, we dev...
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Rujia Li, Yadong Li, Weibo Qin, Arzlan Abbas, Shuang Li, Rongbiao Ji, Yehui Wu, Yiting He and Jianping Yang
This research tackles the intricate challenges of detecting densely distributed maize leaf diseases and the constraints inherent in YOLO-based detection algorithms. It introduces the GhostNet_Triplet_YOLOv8s algorithm, enhancing YOLO v8s by integrating t...
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