基于机器视觉的番茄成熟度检测装置  

Tomato Maturity Detection Device Based on Machine Vision

作　　者：李丽鑫 李朔[1] 李银银 高宁 张弘扬 LI Lixin;LI Shuo;LI Yinyin;GAO Ning;ZHANG Hongyang(School of Electronics and Information Engineering,Liaoning Universityof Science and Technology,Anshan 114051,China)

机构地区：[1]辽宁科技大学电子与信息工程学院,辽宁鞍山114051

出　　处：《科技创新与生产力》2024年第1期116-118,共3页Sci-tech Innovation and Productivity

基　　金：大学生创新创业训练计划项目(X202310146073)。

摘　　要：番茄果实成熟度的检测是智慧农业研究的一个新方向,目前主要采用化学、生物或者较为简单的颜色识别方式,存在效率低、成本高的问题。基于此,本文提出一种基于机器视觉进行的番茄成熟度检测装置,通过OpenMV摄像头获取番茄果实的图像数据,综合所有数据进行考量,将测试番茄与成熟的番茄进行数据比对,并进行成熟度分级管理,导入电脑数据库保存。该装置可应用于工厂流水线场景,可计算出每一批番茄的整体成熟度,应用价值高。The detection of tomato fruit maturity is a new direction in intelligent agriculture research.Currently,the main research methods in this field are chemical,biological,or relatively simple color recognition methods,which have problems of low efficiency and high cost.Based on this,this paper proposes a tomato maturity detection based on machine vision,which mainly obtains image data of tomato fruit through an OpenMV camera.The device considers all data comprehensively,compares the data between the tested tomatoes and mature tomatoes,conducts maturity grading management,and imports them into a computer database for storage.The device can be applied to factory assembly line scenarios,and can calculate the overall maturity of each batch of tomatoes,with high application value.

关 键 词：机器视觉 成熟度检测 PID OpenMV 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]