Volume 2 Issue 2 | 2025 | View PDF
Paper Id:IJMSM-V2I2P109
doi: 10.71141/30485037/V2I2P109

Plant Leaf Diseases Prediction: Using Machine Learning

Vitthal B Kamble, Srushti Parab, Sakshi Bandgar, Meghna Nimbalkar

Citation:
Vitthal B Kamble, Srushti Parab, Sakshi Bandgar, Meghna Nimbalkar, "Plant Leaf Diseases Prediction: Using Machine Learning " International Journal of Multidisciplinary on Science and Management, Vol. 2, No. 2, pp. 95-109, 2025.

Abstract:
Plant diseases cause significant reductions in plant production, leading to economic losses. Pests and diseases destroy plants or parts of plants, leading to lower agricultural production and food insecurity. Pathogen and pest infestations are major causes of crop destruction and loss of crop yields as most farmers do not have access to pathologists and entomologists or sufficient information and infrastructure to identify the disease early on and reduce the loss. To address this, we used a plant leaf dataset containing healthy and diseased plant leave images. We collected Plant Leaves dataset from Kaggle. These data sets are freely and publicly available to be used. And by using Machine learning and Computer Vision to identify to train the classifier, classify and predict the health of the plant. Using this method, we detect different kinds of disease present in the plant at an early stage before it spreads on a higher scale and a large part of the field is infected and accordingly take action to reduce the amount of loss.

Keywords: Plant diseases, Machine Learning, Prediction, Convolutional Neural Network (CNN), DatasetDetection, Classification.

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