Abstract: India and other growing nations value their agricultural industries. Agriculture-related interventions have an impact on 58% of rural India's livelihood. It is essential to recognise and categorise any ailments that a plant may have in order to reduce any significant loss in the quantity and yield of plant species. Many methodologies and procedures are used to overcome these issues, including cutting-edge technology like image processing. The tomato plant's leaves are initially affected when it contracts a specific type of disease. This study consists of four sequential procedures to identify the illness kind. The four phases include pre-processing, leaf segmentation, feature extraction, and classification.

Keywords: neural network, convolutional neural network, leaf segmentation, disease detection

| DOI: 10.17148/IARJSET.2023.10428