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东北农业大学学报(英文版)
2004,11
(2)
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Journal of Northeast Agricultural University(English Edition)
2004,11
(2)
Automatic Identification of Tomato Maturation Using Multilayer Feed Forward Neural Network with Genetic Algorithms (GA)
作 者：
FANG Jun-long;ZHANG Chang-li;WANG Shu-wen
单 位：
;Engineering College, Northeast Agricultural University, Harbin Heilongjiang 150030, PRC
关键词：
tomato maturation;computer vision;artificial neural network;genetic algorithms
摘 要：
We set up computer vision system for tomato images. By using this system, the RGB value of tomato image was converted into HIS value whose H was used to acquire the color character of the surface of tomato To use multilayer feed forward neural networkwith GA can finish automatic identification of tomato maturation. The results of experiment showed that the accuracy was up to 94%.
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