Supervised Machine learning Approach for Crop Yield Prediction in Agriculture Sector

@article{Kumar2020SupervisedML,
  title={Supervised Machine learning Approach for Crop Yield Prediction in Agriculture Sector},
  author={Y. Kumar and V. Spandana and V. Vaishnavi and K. Neha and V. Devi},
  journal={2020 5th International Conference on Communication and Electronics Systems (ICCES)},
  year={2020},
  pages={736-741}
}
  • Y. Kumar, V. Spandana, +2 authors V. Devi
  • Published 2020
  • Computer Science
  • 2020 5th International Conference on Communication and Electronics Systems (ICCES)
Machine learning (ML) is a crucial perspective for acquiring real-world and operative solution for crop yield issue. From a given set of predictors, ML can predict a target/outcome by using Supervised Learning. To get the desired outputs need to generate a suitable function by set of some variables which will map the input variable to the aim output. Crop yield prediction incorporates forecasting the yield of the crop from past historical data which includes factors such as temperature… Expand

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