香榧品质检测技术与分级方法探讨  

Quality detection technology and classification method of torreya

作　　者：曾松伟[1,2] 姬长英[1] 黎章矩[2] 喻卫武[2] 叶帮宣 肖庆来[3] 

机构地区：[1]南京农业大学工学院,南京市210031 [2]浙江农林大学浙江省林业智能监测与信息技术研究重点实验室,浙江临安310013 [3]松阳县林业局,浙江松阳323400

出　　处：《中国农机化学报》2015年第5期151-156,共6页Journal of Chinese Agricultural Mechanization

基　　金：浙江省自然基金项目(LY13C200014);浙江省林业厅及企业重点资助项目(2010B12);浙江省林业智能监测与信息技术研究重点实验室开放基金(2055210012)

摘　　要：针对香榧品质检测、分级手段比较落后,检测效率较低等问题,讨论其他农特产品的无损检测技术及方法,借鉴果蔬等农产品无损检测技术,探讨基于机器视觉和多光谱技术的香榧品质检测技术及与方法。最后指出:围绕这些问题开展创新性研究,建立一个完整的香榧质量分级体系,对香榧产业发展中的规划、选育与栽培、智能及规模化加工具有重要的指导意义。It is aiming at the problems of backward classification modes and low efficiency of torreyagrandis quality detection. The methods and technology of nondestructive testing for other agricultural products were studied to explore the detection technology and methods of the torreya quality based on machine vision and multi-spectral. According to the innovative researches on these issues, a complete torreya grandis quality grading system was es- tablished, which has important guiding significance for the planning, breeding and cultivation, processing and the intelligent and scaled development of torreya industry.

关 键 词：香榧 品质 机器视觉 分级 

分 类 号：S37[农业科学—农产品加工]