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IntelliHack

smartFarmer

smartFarmer is a Python based machine learning application created for predicting the data regarding crops. Currently two supervised learning modules has been implemented.

  • With given enviromental factors a optimal crop is predicted for grow.
  • With given enviromental factors for a crop yield is predicted.

File system

  • app.py : web interface to yield prediction
  • app_classify.py : web interface to crop prediction
  • classification.py : data training of crop prediction
  • model.py : data training of yield prediction

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smartFarmer - machine learning approach to agriculture

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