A REVIEW FOR DIFFERENT APPROACHES OF TOMATO LEAF DISEASE DETECTION
Keywords:
Identification, segmentation, network, disease detection, models, classification, plant leavesAbstract
In recent years, computer vision researchers are proposing different algorithms for agricultural domain. For example, they are using Machine learning and Deep learning for plant disease identification. This paper discussed some approaches for tomato leaf disease detection. And reviewed different researchers’ works by using different methods in tomato leaf disease identification. In the end of this paper, as a result, it is defined available methods such as strength and some limitations for different conditions.
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