Description: : In order to realize automation of tomato harvesting, the use of computer vision to replace the human eye of a mature tomato automatic identification method. First, a variety of tomato image noise removal methods, the use of HSI color hue component H system as a means of identification of the color feature parameter. Automatic check using the maximum variance threshold method and mathematical form of computing, such as recognition algorithm consisting of tomato collected images of automatic identification.
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