利用计算机视觉技术测量小麦田间蚜虫.pdf

b i o s y s t e m s e n g i n e e r i n g 1 4 1 ( 2 0 1 6 ) 8 2 e9 3 Available online at ScienceDirect journal homepage: /l ocate/issn Research Paper Detection of aphids in wheat fields using a computer vision technique * ** Tao Liu, Wen Chen, Wei Wu, Chengming Sun , Wenshan Guo , Xinkai Zhu Jiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China a r t i c l e i n f o Aphids cause major damage in wheat fields resulting in significant yield losses. Monitoring Article history: aphid populations and the identification of aphid species provides important data related Received 3 July 2015 to pest population dynamics and integrated pest management. Manual identification and Received in revised form counting of wheat aphids is labour intensive, inefficient and subjective factors can influ- 18 October 2015 ence its accuracy. A method of aphid identification and population monitoring based on Accepted 16 November 2015 digital images was developed. It used a maximally stable extremal region descriptor to Published online xxx simplify the background of field images containing aphids, and then used histograms of oriented gradient features and a support vector machine to develop an aphid identification Keyword: