Review on Detection and Prediction of Diseases in Arecanut Trees

Review on Detection and Prediction of Diseases in Arecanut Trees

Pushpa R N1, Bhoomika G B2, Shreya G3, Vachana H Belgod4, Vinayashree M Shet5

Pushpa R N Assistant Professor, Department of CSE JNN College of Engineering,

Bhoomika G B, Shreya G, Vachana H Belgod, Vinayashree M Shet Department of CSE JNN College of Engineering,

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Abstract - In this study, we propose a method for detecting and predicting diseases in arecanut plants using image processing. The proposed method consists of three main steps: image acquisition, image segmentation, and disease detection and prediction. The performance of the proposed method is evaluated using a dataset of arecanut leaf images with various diseases. The results show that the proposed method can accurately detect and predict the presence of diseases in the arecanut plants with high precision and recall rates.

Keywords: Arecanut, Machine learning, Convolutional neural networks.