Plant Quality Detection using Deep Learning

Authors

  • Chethana Student, Department of Computer Science and Engineering, Srinivas Institute of Technology, Mangalore, India
  • Alwyn Edison Mendonca Assistant Professor, Department of Computer Science and Engineering, Srinivas Institute of Technology, Mangalore, India
  • Mayuri Student, Department of Computer Science and Engineering, Srinivas Institute of Technology, Mangalore, India

Keywords:

Keras, Convolutional Neural Network, Deep Learning, Machine Learning

Abstract

Farming is the art and science of cultivating soil, growing crops and raising livestock. Crops play an important role in the livelihoods of millions of poor agriculturalists. This project mainly categorizes the leaves into diseased and healthy, in order to increase the production of the crops by assessing the quality of crops so that required necessary actions can be taken. In this, Convolutional Neural Network (CNN) based method will be used to assess the quality of crops. Thus this system helps to reduce the difficulties faced by the farmers during cultivation which helps in increasing the crop yield.

Downloads

Download data is not yet available.

Downloads

Published

2021-07-17

How to Cite

[1]
Chethana, A. E. Mendonca, and Mayuri, “Plant Quality Detection using Deep Learning”, IJRESM, vol. 4, no. 7, pp. 166–168, Jul. 2021.

Issue

Section

Articles