Study on Automatic Identification Technology of Greenhouse Tomato Pests and Diseases based on Machine Learning
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Zhiheng Song, Hang Zhang, Naixiang Li
Tomato cultivation in solar greenhouse is a relatively common pattern of protected land planting, with good economic benefits, but the environmental conditions of the greenhouse are conducive to the growth of pathogens, the tomato disease is aggravated, and the greenhouse is relatively closed. Pests such as peach aphid are commonly occurred. The main pests and diseases of greenhouse tomatoes were preliminarily summarized, and corresponding prevention and control measures were proposed for various pests and diseases.
Automatic Identification, Greenhouse, Tomato