A Review on Pomegranate Disease Classification Using Machine Learning and Image Segmentation Techniques

The paramount motive of farming is to yield good crops without any disease present. The role of digital image processing along with image analysis is indispensable in the sector of agriculture. Preprogrammed awareness of plant malady and production of good plants is of substantial significance in agriculture industrialization. To prevent the loss of agricultural yield one has to recognize the malady. Manually, detection of plants malady is quite difficult, it required huge time for analyzing the malady present on the fruit. To tame this problem, a machine learning-based approach is recommended which can evaluate the image of the fruit to detect the disease. Image processing is the method which is successfully used for the recognition of plant malady. This paper, contribute a review on approach evolve for detection of diseases in plants using their images.