Research Progress of Crop Production Based on Remote Sensing Technology

doi:10.11924/j.issn.1000-6850.casb2025-0066

Abstract

Abstract:

As an advanced means of information acquisition, remote sensing technology has been widely used in crop production. This study systematically reviewed the research progress of remote sensing technology in crop production monitoring, crop yield estimation, crop nutritional quality monitoring, and crop pest and disease monitoring. In the field of crop growth monitoring, it focuses on inversion methods for physiological parameters such as chlorophyll content and leaf area index based on multispectral, hyperspectral, and radar remote sensing. For yield estimation, it summarizes the development history and technical approaches of constructing yield models using multi-source remote sensing data globally. In nutritional quality monitoring, it synthesizes correlation models between spectral characteristics and biochemical components of crops. Regarding pest and disease monitoring, it elucidates the spectral response mechanisms and identification techniques under biotic stress. The review indicates current limitations in multi-source data fusion accuracy and universal applicability of crop quality monitoring. Future research should integrate artificial intelligence algorithms to enhance multi-platform collaborative monitoring, providing more efficient technical support for smart agriculture.

Key words: remote sensing monitoring, crop growth monitoring, yield prediction, nutritional quality, pest and disease identification, vegetation index

BEI Yitong, ZHANG Xiaoying, WANG Kuanhao, GAO Jinxu, SUN Xinbo. Research Progress of Crop Production Based on Remote Sensing Technology[J]. Chinese Agricultural Science Bulletin, 2025, 41(27): 149-156.

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