Chinese Journal OF Rice Science >
Research Progress in Rice Yield Estimation Method Based on Low-altitude Unmanned Aerial Vehicle Remote Sensing
Received date: 2024-01-04
Revised date: 2024-07-01
Online published: 2024-11-15
Rice is one of the primary staple crops. Its yield estimation plays a crucial role in the macro-control of national policies, real-time guidance according to local agricultural conditions, and targeted breeding of elite varieties. Therefore, estimating rice grain yield is of great significance. With the continuous advancement in crop science and interdisciplinary approaches, the methods and models for estimating rice yield have diversified greatly. Concurrently, the development of remote sensing technology, particularly the emergence and popularization of low-altitude Unmanned Aerial Vehicles (UAVs), has led to continuous improvements in intelligent remote sensing methods and their accuracy for rice yield estimation. However, there is a lack of systematic and scientific summarization of intelligent rice yield estimation, specifically utilizing UAV remote sensing. This work provides a comprehensive review of the current mainstream methodologies for estimating rice yield, critically evaluating their advantages and limitations. It then explores the application and future directions of intelligent low-altitude remote sensing technology in rice yield estimation. By analyzing the key characteristic information obtained through remote sensing, the article examines the development of primary yield estimation models. It discusses the challenges and limitations encountered when employing intelligent remote sensing for rice yield estimation. The ultimate goal is to enhance our understanding of rice yield estimation methods and provide a systematic and comprehensive reference for the development of intelligent rice yield estimation techniques.
Key words： rice; yield estimation; remote sensing; unmanned aerial vehicle
FENG Xiangqian, WANG Aidong, HONG Weiyuan, LI Ziqiu, QIN Jinhua, ZHAN Lichuan, CHEN Lipeng, ZHANG Yunbo, WANG Danying, CHEN Song . Research Progress in Rice Yield Estimation Method Based on Low-altitude Unmanned Aerial Vehicle Remote Sensing[J]. Chinese Journal OF Rice Science, 2024 , 38(6) : 604 -616 . DOI: 10.16819/j.1001-7216.2024.240103
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