玉米品质性状计算机视觉识别与评价研究进展

RESEARCH PROGRESS IN COMPUTER VISION IDENTIFICATION AND EVALUATION OF MAIZE QUALITY

计算机视觉技术是计算机科学和人工智能的重要分支,它作为一种无损检测技术在农业领域有着广泛的应用前景.综述了计算机视觉技术在玉米品质识别与评价中的研究进展,为计算机视觉技术精确测量玉米籽粒特征,建立玉米的特征信息与其品质的相关性,实现对玉米品质检测提供了参考,同时提出了利用计算机视觉技术并结合红外、微波、核磁共振等技术进行农产品内部品质的视觉信息提取与检测、研究快速并行图像处理算法等作为今后的发展趋势.

Computer vision is an important branch of computer science and artificial intelligence, and has wide application in the agriculture field as a non-destructive testing technology. This paper reviewed the research progress in the computer vision technology in the identification and evaluation of maize quality, and provided a reference for the accurate measurement of characteristics of maize kernels, the construction of correlation between the feature information and quality of maize, and the maize quality detection. The paper also proposed the application of the computer vision technology in the vision information extraction and detection of agricultural products, and in the study of quick and parallel image treatment algorithms in combination with IR, microwave and magnetic resonance techniques was the future development trend.