基于计算机图像处理的农产品表面缺陷检测精度提升策略

Abstract： In the field of agricultural product testing，manual testing is limited by subjective factors and efciency.The application of computer image processing technologycan effectively improve this situation，enabling rapid defectidentificationand location，providingquantitative datasupport，and enhancing thedegreofdetection automation.However，in practical applications，this technology isconfronted with chalenges such as significant differences in the appearance of agricultural products，diverse and ambiguous defect forms， external environmental interference，and poor adaptabilityof detection algorithms，which significantly restrict the improvementofdetection accuracy.To this end，this paper proposes aseries of improvementstrategies，including optimizing feature extraction methods，improving defect recognition algorithms，strengthening control in the image acquisition process，and developing highly adaptive detection algorithms，etc.The aim is to provide efective references for enhancing the accuracy of surface defect detection in agricultural products and promote the further development of agricultural product detection technology.

Keywords： computer image processing; agricultural products; surface defect detection; accuracy improvement

农产品作为人们日常生活的重要组成部分，其质量安全直接关系到消费者的健康和权益，也影响着农业生产的经济效益。（剩余3855字）