河南农业科学2026，Vol.55Issue(1)：1-15,15.DOI:10.15933/j.cnki.1004-3268.2026.01.001
果蔬成熟度检测关键技术研究进展
A Review of Key Technologies in Fruits and Vegetables Maturity Detection
摘要
Abstract
The maturity of fruits and vegetables is closely related to both producers and consumers.It plays a crucial role in enhancing consumer experience,improving harvest timing accuracy,extending shelf life,reducing waste,and increasing yield and quality.However,traditional manual methods of detecting fruit and vegetable maturity have issues such as high labor intensity,high costs,and low efficiency.In recent years,with the rapid development of computer technology,data-driven methods for detecting fruit and vegetable maturity have made automation and intelligence in this process possible.This study begins with a comprehensive review of the commonly used data formats for fruit and vegetable maturity detection.It then discusses the research progress of maturity detection algorithms from three perspectives:traditional image processing algorithms,machine learning algorithms,and deep learning algorithms.A systematic summary of the current engineering applications of maturity detection in the agricultural field is also provided.Based on this,the study further analyzes the challenges faced by data-driven maturity detection methods in real-world applications and offers feasible solutions and research approaches to address these key issues.Finally,the study presents an analysis and outlook on the future development directions of fruit and vegetable maturity detection technologies in agriculture,aiming to provide theoretical references and practical insights for the further research and application of these technologies.关键词
果蔬/数据形式/成熟度检测/深度学习/模型部署Key words
Fruits and vegetables/Data format/Maturity detection/Deep learning/Model deployment分类
农业科技引用本文复制引用
江明泽,闫建伟,邹传筑..果蔬成熟度检测关键技术研究进展[J].河南农业科学,2026,55(1):1-15,15.基金项目
贵州省科技计划项目(中央引导地方科技创新基地建设)(黔科合中引地[2023]010) （中央引导地方科技创新基地建设）
