Performance Evaluation of Best Feature Subsets for Crop Yield Prediction Using Machine Learning Algorithms
Author:
Affiliation:
1. School of Computing Science and Engineering, VIT University, Chennai, India
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2019.1592343
Reference37 articles.
1. Application of Artificial Neural Network modeling for optimization and prediction of essential oil yield in turmeric (Curcuma longa L.)
2. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
3. Seasonal climate forecasts provide more definitive and accurate crop yield predictions
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