摘要
文章通过分析计算机视觉技术在智慧农业病虫害自动识别中的应用,详细阐述了图像采集与处理技术、深度学习模型在识别中的应用、目标检测与分类算法优化等关键技术,探讨如何通过技术创新提升病虫害识别的效率和准确性,从而为农业生产提供准确高效的病虫害监测手段,进一步推动农业智能化发展。
The paper analyzes the application of computer vision technology in the automatic identification of pests and diseases in intelligent agriculture,and describes in detail the key technologies such as image acquisition and processing technology,the application of deep learning models in identification,and the optimization of target detection and classification algorithms.It discusses how to improve the efficiency and accuracy of pest and disease identification through technological innovation,so as to provide accurate and efficient pest and disease monitoring means for agricultural production and further promote the intelligent development of agriculture.
作者
张婷
ZHANG Ting(Ningxia Polytechnic,Yinchuan Ningxia 750021,China)
出处
《信息与电脑》
2025年第2期170-172,共3页
Information & Computer
关键词
计算机视觉技术
智慧农业病虫害
自动识别
computer vision technology
intelligent agricultural pests and diseases
automatic recognition
