Revolutionizing Tamilnadu Agriculture: AI-Powered Crop Yield Forecasting and Disease Prediction for Oil Seed Crops

The foundation of the Indian economy is agriculture. Farmers play a major role in cultivating crops. Oil seed crops are grown primarily for the oil contained in the seeds. Fats in the oil seeds are the major source for vitamins and other essential nutrients. Culinary vegetable oils are versatile ingredients that can be used raw in salads, heated for cooking, or hardened to produce lard or vegetable spread. These oil-based products can replace animal products, such as butter and ghee, which are in inadequate supply to meet the demands of a growing population. The production of oilseed crops requires the application of appropriate manure rates. Yields drop and the environmental load rises when fertilizers are in short supply or are over-applied. In this research the data was gathered from 2019 to 2022, with the training set consisting of actual yield data from 2020 to 2023. This means that the machine learning model is trained on data from the past three years, and then used to make predictions for the future. The proposed system will utilize historical crop data, weather patterns, and soil information to train bootstrap bagging (bootstrap aggregation) algorithm. Leveraging the power of comprehensive datasets, this system predicts crop yields with greater precision, empowering farmers to make accurate decisions on crop management, resource allocation, and marketing strategies. The proposed approach also incorporates disease forecasting for oilseed crops and other plants, enabling farmers to proactively mitigate potential risks and maximize yields.