Automatic Identification of Tomato Maturation Using Multilayer Feed Forward Neural Network with Gene

• 作 者: FANG Jun-long ZHANG Chang-li WANG Shu-wen
• 机 构: Engineering College
• 出 处: 东北农业大学学报（英文版）
• 发表日期: 2004年期
• 关键词: tomato maturation computer vision artificial neural network genetic algorithms

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 network with GA can finish automatic identification of tomato maturation. The results of experiment showed that the accuracy was upto 94%.