Crop Yield Predictor for Cereal Crops of Nepal
Introduction This project implements a comprehensive pipeline for predicting cereal crop yields in Nepal using machine learning techniques. The workflow begins with raw data extraction via Optical Character Recognition (OCR) and culminates in model training and performance evaluation. The pipeline is built using Python and leverages powerful tools such as Tesseract OCR, Pandas, NumPy, scikit-learn, Matplotlib, and Seaborn.
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