Journal of Innovation in Computer Science and Engineering
  • Year: 2020
  • Volume: 9
  • Issue: 2

Soil Nutrient Analysis and Crop Fertility Prediction using Deep Learning

  • Author:
  • Diksha D. Kharat, Medha A. Shah
  • Total Page Count: 4
  • Page Number: 23 to 26

Assistant Professor, Department of Computer Science and Engineering, Walchand College of Engineering, Sangli, India

*Email: diksha.kharat@walchandsangli.com

**medha.shah@walchandsangli.ac.in

Online published on 22 January, 2021.

Abstract

Farming is done by traditional methods, farmers plant crops by using the old common method without knowing the properties of soil and quality of that soil. In the end, the farmer will not gain sufficient profit from their farming. It is necessary to know various soil parameters and based on that provide specific crop, Existing system provides a suggestion model with fewer soil parameters and low accuracy, Hence it aims to propose a convolutional neural network model to estimate soil nutrients and crop fertility with better accuracy and convert the same in a local language.

Keywords

Plant Disease, Convolutional Neural Network (CNN), Natural Language Processing (NLP), Soil Properties, Prediction