计算机视觉技术在农业领域的应用

Application of Computer Vision Technology in the Field of Agriculture

随着国家大力发展智慧农业,计算机视觉技术在农业领域的应用越来越广泛,不断推动农业生产向高质量、高产量方向发展。本文从农作物病虫害识别、种子和果实分级检测、农作物生长环境监测和农田土壤特征分析等方面分析了计算机视觉技术在农业领域的应用,并探讨了计算机视觉技术和深度学习在农业领域的相关研究,以期为智慧农业的飞速发展提供参考。

With the vigorous development of smart agriculture in China,the application of computer vision technology in the the agricultural field is becoming increasingly widespread,and continuously promoting the development of agricultural production in the direction of high quality and high yield.This paper analyzed the application of computer vision technology in the agricultural field from the aspects of crop disease and pest identification,seed and fruit grading detection,crop growth environment monitoring and farmland soil feature analysis,discussed the related research of computer vision technology and deep learning in the agricultural field,in order to provide references for the rapid development of smart agriculture.