Design and Implementation of Fruit and Vegetable Recognition and Localization Software Based on Convolutional Neural Networks
In the field of smart agriculture,accurately identifying the types and locations of fruits and vegetables is crucial for improving agricultural production efficiency.This paper explores the principles and key technologies of image recognition based on Convolutional Neural Networks(CNN),and constructs a high-quality recognition model for fruit and vegetable images that encompasses data collection,preprocessing,and intelligent recognition.A software based on Convolutional Neural Networks for the recognition and location of fruits and vegetables is designed and implemented.This software can efficiently extract useful information from complex appearances of fruits and vegetables,intelligently and accurately identify their types and location information,significantly enhancing the level of agricultural automation and intelligence.It provides a powerful tool for improving crop management efficiency and optimizing production processes,offering strong technical support for the advancement of smart agriculture.
Convolutional Neural Networkssoftware developmentfruit and vegetable image recognitionsmart agriculture
国家科技期刊平台
NSTL
万方数据
