图像处理与识别在果蔬成熟度监测中的研究及应用  

Research and Application of Image Processing and Recognition in Maturity Monitoring of Fruit and Vegetable

作　　者：黎施欣 范小平[1] LI Shixin;FAN Xiaoping(College of Food Science,South China Agricultural University,Guangzhou 510642,China)

机构地区：[1]华南农业大学食品学院,广州510642

出　　处：《包装工程》2024年第3期153-164,共12页Packaging Engineering

基　　金：广东省科技专项资金(210714116891352);广东省科技创新战略专项资金(pdjh2021b0087)。

摘　　要：目的 分析了果蔬成熟度自动监测对发展智慧农业的重要意义,对图像处理与识别技术在监测果蔬成熟度领域的研究与应用现状进行综述、总结与展望,以期为我国发展果蔬成熟度在线或自动检测识别技术提供参考。方法 对图像处理与识别在监测果蔬成熟度中的原理、优势进行分析,对特征提取、深度学习中的神经网络在该领域中的应用研究进展进行综述。结果 采用以图像处理和识别为核心的计算机视觉检测技术对果蔬的颜色、纹理等外部特征进行成熟度检测具有优势,结合神经网络对果蔬成熟度进行检测的识别率高,可在采摘、运输等场景对果蔬成熟度进行监测。结论 图像处理与识别技术在果蔬成熟度监测领域有望得到突破,将催生更多新的应用场景。The work aims to analyze the importance of automatic monitoring of fruit and vegetable maturity to the development of smart agriculture,and to review,summarize and prospect the research and application status of image processing and recognition technology in the field of fruit and vegetable maturity monitoring,in order to provide a reference for the development of online or automatic detection and identification technology of fruit and vegetable maturity in China.The principles and advantages of image processing and recognition in monitoring the maturity of fruit and vegetable were analyzed,and the research progress of neural networks in feature extraction and deep learning in this field was reviewed.The computer vision detection technology with image processing and recognition as the core had advantages in detecting the maturity of external features such as color and texture of fruit and vegetable,and the recognition rate of fruit and vegetable maturity detection by combining neural networks was high,which could promote the monitoring of fruit and vegetable maturity in picking,transportation and other scenarios.Image processing and recognition technology are expected to make further breakthroughs in the field of fruit and vegetable maturity monitoring,which will promote more and new application scenarios.

关 键 词：果蔬成熟度 图像处理 图像识别 计算机视觉检测技术 神经网络 

分 类 号：TB487[一般工业技术—包装工程]