Title :
Research on Automatic Counting Soybean Leaf Aphids System Based on Computer Vision Technology
Author :
Shen, Wei-Zheng ; Zhang, Chang-li ; Chen, Zhan-liang
Author_Institution :
Northeast Agric. Univ., Harbin
Abstract :
The current investigation of aphid population dynamics mostly adopts manual counting, which causes the enormous workload. The accuracy is also hard to guarantee. But the computer vision technology used in this experimentation can automatically count aphids. In the experimentation, the aphids can be apart from soybean leaves by proposing the images with the HSI color system. Meanwhile the algorithm is given. The results showed that this method counts aphids accurately, rapidly and effectively.
Keywords :
agriculture; computer vision; production engineering computing; automatic counting; computer vision technology; soybean leaf aphids system; Agricultural engineering; Charge coupled devices; Charge-coupled image sensors; Computer vision; Cybernetics; Educational institutions; Hardware; Image processing; Insects; Machine learning; Aphid; Automatic counting; Computer vision; Soybean;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370408
