CYPUR-NN: Crop Yield Prediction Using Regression and Neural Networks

Pages: 193 - 206
Published: Nov 16, 2021
Abstract
Our recent study using historic data of paddy yield and associated conditions include humidity, luminescence, and temperature. By incorporating regression models and neural networks (NN), one can produce highly satisfactory forecasting of paddy yield. Simulations indicate that our model can predict paddy yield with high accuracy while concurrently detecting diseases that may exist and are oblivious to the human eye. Crop Yield Prediction Using...
Paper Details
Title
CYPUR-NN: Crop Yield Prediction Using Regression and Neural Networks
Published Date
Nov 16, 2021
Pages
193 - 206
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.