基于MATLAB的石榴病虫害图像分类系统设计

摘  要：中国作为农业大国，农业的发展对于社会的进步有着极其重要的作用。当前在农业生产过程中，病虫害是农作物减产的主要原因，农药喷洒作为主要的手段处理病虫害。农药的大量施用会造成环境的污染，也会影响食物的安全性，精准的施药是解决农药滥用的有效方法[1]。首先需要对石榴病虫害的种类作出准确的判断。传统的石榴病虫害检测方法通过人工方式费时费力，难以满足快速精准的现代农业的要求。本文采用MATLAB图像处理技术，从图像处理技术出发，通过神经网络模型的训练和检测识别，研究石榴病虫害图像的分类方法

关键词：石榴病虫害  MATLAB  图像处理  神经网络

Design of pomegranate disease and pest image classification system based on MATLAB

Abstract：As a big agricultural country,the development of agriculture plays an extremely important role in the progress of society. At present, in the process of agricultural production, disease and insect pests are the main reason for crop yield reduction. Pesticide spraying is the main means to deal with disease and insect pests. Large-scale application of pesticides will cause environmental pollution and affect food safety. Precise application is an effective way to solve the abuse of pesticides [1]. First of all, it is necessary to make accurate judgments about the species of pomegranate pests and diseases. The traditional pomegranate pest detection method is time-consuming and laborious by manual method, which is difficult to meet the requirements of rapid and accurate modern agriculture. This paper uses MATLAB image processing technology, starting from the image processing technology, through the neural network model training and detection and recognition, the classification method of pomegranate pests and diseases image

Key words：Diseases and insect pests of pomegranate  MATLAB  image processing  neural network  pomegranate