Explainable AI Method for Crop Price Prediction

TITLE	Explainable AI Method for Crop Price Prediction
ABSTRACT	Accurate forecasting of crop prices is very important in helping farmers make the right decisions and maintaining certainty for the market. This research used past market data from various states in India to provide an optimal and applicable methodology for forecasting crop prices. After collecting vast amounts of data that included crop names, geographies, and daily prices, all of the data was cleaned, shaped, and transformed to better the performance of the model. The modal price for crops was estimated using Decision Tree Regression and LIME was used to explain the model estimations by showing how each input was associated with the output. The results demonstrate that the proposed approach was able to identify direction of price but more importantly in a clear pertinent manner that could assist with improved forecasting and marketing strategies.
AUTHOR	Rahul B, Rajesh C Department of Master of Computer Applications, CMR Institute of Technology, Bengaluru, India Department of Master of Computer Applications, CMR Institute of Technology, Bengaluru, India DOI:10.15680/IJARETY.2025.1204056
PUBLICATION DATE	2025-08-29
VOLUME	12
PDF	56_Explainable AI Method for Crop Price Prediction.pdf
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