基于葡萄种植图像识别技术的智慧农业应用  

Smart Agricultural Application Based on Grape Planting Image Recognition Technology

作　　者：杨振盛 YANG Zhensheng

机构地区：[1]广西动力技工学校,南宁530028

出　　处：《智慧农业导刊》2025年第1期18-21,共4页JOURNAL OF SMART AGRICULTURE

摘　　要：在智慧农业的众多技术中,图像识别技术的重要性日益凸显。该文介绍图像识别技术在葡萄种植过程中对病虫害进行识别,采用轮廓边缘检测算法和U-Net算法在葡萄不同生长期病害特征标定识别中的应用,阐述如何利用简单的图像数理模型进行数据分析,并最终实现各花期病变的自动甄别,提升葡萄种植的管理效率。希望读者通过该文能够理解图像识别技术如何与传统农业相结合,为推动智慧农业的发展提供新思路。Among the various technologies in smart agriculture,the importance of image recognition is increasingly evident.This paper introduces the application of image recognition technology in grape planting,using contour edge detection algorithm and U-Net algorithm in the calibration and identification of disease characteristics in different growth periods of grape.It expounds how to use simple image mathematical models to carry out data analysis and ultimately realize the automatic identification of various flowering diseases to improve the management efficiency of grape planting.Through this paper,readers can gain a clear understanding of how image recognition technology can be integrated with traditional agriculture,which offers new insights for advancing smart agriculture.

关 键 词：智慧农业 图像识别 SOBEL算法 U-Net算法 RGB数值 

分 类 号：S663.1[农业科学—果树学]