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期刊
- 作者： Rui Zhang, Xue Wu, Jing Li, Pengyu Zhao, Qing Zhang, Lige Wuri, Donghui Zhang, Zhijie Zhang, Linnan Yang （ Affiliations 1 The Key Laboratory for Crop Production and Smart Agriculture of Yunnan Province, Kunming, China. 2 Yunnan Agricultural University, Kunming, China. 3 Kunming Institute of Eco-Environmental Sciences, Kunming, China. 4 Shanxi Key Laboratory of Earth Surface Processes and Resource Ecology Security in Fenhe River Basin, Taiyuan Normal University, Jinzhong, China. 5 Xinjiang Center for Ecological Meteorology and Satellite Remote Sensing, Urumqi, China. 6 School of Government, Beijing Normal University, Beijing, China. 7 Faculty of History and Tourism Culture, Inner Mongolia Minzu University, Tongliao, China. 8 Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing, China. 9 School of Geography, Development and Environment, The University of Arizona, Tucson, AZ, United States. ）
- 出处： 4566 2025 Vol.8 P1636898
- 关键词： CiteSpace VOSviewer bibliometric analysis crop monitoring deep learning knowledge graph machine learning precision agriculture.
- 摘要： Global agricultural systems face unprecedented challenges from climate change, resource scarcity, and rising food demand, requiring transformative sol