Weather-Wise CropAlert: Predicting and Preventing Plant Diseases

Abstract

This paper provides a system which consists of three components namely, weather parameter input system, plant disease prediction system and disease prevention system. The system will help the farmers to efficiently use the weather data, and to take preventive measures in time and helps establishing a direct relationship between the weather and plant diseases. The system currently provides information for three crops, namely, wheat, cotton, rice. The proposed system used machine learning to identify the patterns and predict the plant disease. Various clustering and classification models were used in the system such as K means, Random Forest and XGboost.