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April, 19 2021
Model File Size 3MB
CUSTOMER KEY FACTS
Industry: Smart Farming
Location: Bangalore, Karnataka
Crop classification is a very important challenge for any farmer to give the best quality vegetable to the people. During earlier times it was manual process wherein they were looking at the color and sorting many vegetables which were either ripened or unripen. So, it was a tedious task for them to perform this activity. We wanted to vanish this manual sorting activity process and enhance the customers by providing a one stop AI solution.
Python 3.8, sklearn library, Jupyter notebook, matplotlib, numpy, pandas, OpenCV
TPRI developed an AI model based on machine learning classification type of algorithms to provide most accurate result of the crop. This will definitely help the horticulture departments to use model and verify if the crop is ripened or unripen. It will save the amount of work of man force and also increase the supply to the market in an effective manner.