计算机视觉在作物水分亏缺诊断中的应用进展  

Application Status of Computer Vision in Diagnosis of Crop Water Deficiency

作　　者：劳东青[1] 李发永[2] 

机构地区：[1]塔里木大学信息工程学院,新疆阿拉尔843300 [2]塔里木大学水利与建筑工程学院,新疆阿拉尔843300

出　　处：《塔里木大学学报》2014年第4期90-95,共6页Journal of Tarim University

基　　金：塔里木大学校长基金项目(TDZKSS201208)

摘　　要：随着图像处理与分析技术的蓬勃发展,许多专家学者利用图像获取工具比人眼更精细的分辨能力,应用计算机视觉技术进行信息诊断研究。论文简要介绍了计算机视觉技术,着重分析了作物图像获取方法和作物图像信息的分析方法,指出基于计算机视觉的作物水分亏缺诊断在实际应用中存在的问题,并对该领域的未来发展进行展望,指出:多信息融合是图像信息描述的主流趋势,高效的图像识别与分析算法是关键;水分亏缺诊断与作物缺水临界点、作物灌水量研究有机结合是实现作物田间实时灌溉和精量灌溉的前提。With the development of image processing and analysis technology, experts＂ and scholars take advantage of that resolving power of image acquisition tool is better than the human eye＇ s, then do research on information diagnosis using computer vision. This paper briefly introduces computer vision technology and analyzes emphatically how to capture crop images and how to analyze these images, and then points out the key problems during the use of computer vision. Finally, it makes a prospect of this field＇ s future development, points out that multi - information fusion is the domain trend of image description, and that efficient algorithm of image recognition and analysis is the key; furthermore, the organic combination of water deficiency diagnosis, the critical point of water deficiency and irrigation quantity is the premise for the realization of real - time irrigation and precision irrigation.

关 键 词：计算机视觉 图像处理 图像分析 水分诊断 

分 类 号：S126[农业科学—农业基础科学] TP391.4[自动化与计算机技术—计算机应用技术]