基于数字图像处理的水稻生长特征识别研究进展
第一作者：1584590238@qq.com；
收稿日期: 2024-04-30
网络出版日期: 2024-07-16
基金资助
中国科学院网络安全和信息化专项应用示范项目“封丘站野外科学监测平台的数字化建设及其示范应用”(CAS-WX2023SF-0404);中国科学院南京土壤研究所“十四五”自主部署项目“基于自然热过程的土壤水、热和结构特性原位联合监测技术与传感器研发”(ISSASIP2207);北大荒黑土地生态环境保护综合实验室项目“北大荒黑土地土壤有机质提升技术研究集成与应用”
Review on the Recognition of Rice Growth Characteristics Recognition Based on Digital Image Processing
1st author: 1584590238@qq.com;
Received date: 2024-04-30
Online published: 2024-07-16
刘正国, 韩玮, 高照, 张子杰, 刘建立, 李晓鹏 . 基于数字图像处理的水稻生长特征识别研究进展[J]. 中国稻米, 2024 , 30(4) : 7 -11 . DOI: 10.3969/j.issn.1006-8082.2024.04.002
Recognition of rice characteristics is a critical aspect of agricultural production, primarily involving the analysis and processing of rice growth states through manual visual inspection by agricultural experts or the use of image processing and machine learning technologies. This process involves extracting features and properties such as the shape, color, and texture of rice, enabling the recognition and diagnosis of rice growth conditions and pest disease situations. This paper reviewed domestic and international research achievements on rice, analyzed field image collection equipment, image processing methods, and applications of rice growth feature recognition research based on digital image processing. It summarized the functional characteristics of different application platforms in paddy fields and look forward to the future development direction of rice feature recognition based on digital image processing.
Key words： rice; image processing; agriculture; feature recognition; machine learning
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