CROP SUITABILITY AND DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES

Authors

  • V. Anjana Devi Author
  • U Harita Author
  • Vithya Ganesan Author
  • Dhayanidhiya M Author

Abstract

A significant number of farmers, particularly in India, lack the necessary knowledge to make informed decisions regarding crop selection and fertilizer usage. Although machine learning algorithms have made notable progress in automating disease identification, the full potential of Deep Learning remains largely unexplored due to various factors.

Published

2019-01-01

Issue

Section

Articles

How to Cite

CROP SUITABILITY AND DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES. (2019). International Journal of Food and Nutritional Sciences, 8(3), 692-704. https://ijfans.org/index.php/Journal/article/view/943