文献类型： 外文期刊
第一作者： Wang, Xiaoding
作者： Wang, Xiaoding;Wu, Qibin;Que, Youxiong;Yang, Xu;Shu, Jiwu;Wang, Xiaoding;Zeng, Haitao;Shu, Jiwu;Yang, Xuechao;Yi, Xun;Khalil, Ibrahim;Zomaya, Albert Y.
作者机构：
关键词： Remote sensing; Artificial intelligence; Precision agriculture; Smart agriculture; Intelligent decision-making
期刊名称：FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE （ 影响因子：6.1； 五年影响因子：6.0 ）
ISSN： 0167-739X
年卷期： 2025 年 166 卷
页码：
收录情况： SCI
摘要： Remote sensing-empowered agriculture is a significant approach that utilizes remote sensing (RS) to improve agricultural production and crop management. In the agricultural sector, RS allows the retrieval of extensive data related to land, vegetation, and crops, providing crucial information for farmers and decision-makers to enhance precision and efficiency in crop cultivation and management. The combination of RS and artificial intelligence (AI) holds tremendous potential for agricultural production. With the integration of AI, remote sensing-empowered agriculture has expanded, and its impact has become increasingly prominent. It is expected to have far-reaching effects on global agriculture, fostering the more efficient, sustainable, and intelligent development. In the agricultural field, this review presents a concise exploration of the principles and usage of RS. It also examines the role of AI in facilitating agricultural RS, summarizes the application of the combination of RS and AI in the field of agriculture, and discusses its effects. Opportunities and challenges arising from the integration of AI and AI in agriculture are also discussed. This review aims to accelerate the entry into a new era for agriculture empowered by RS.
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