Smart Plant Disease Detection System

Authors

  • Bhoopendra Joshi
  • Abhinav Kumar
  • Satyam Kashyap
  • Nooruddin Nagdi
  • Sukhdarshan Vinayak
  • Dinesh Verma

Keywords:

CNN Algorithm, Disease Detection

Abstract

Food is one of the basic needs of human being. Population is increasing day by day. So, it has become important to grow sufficient amount of crops to feed such a huge population. Agricultural intervention in the livelihood of rural India is about 58%. But with the time passing by, plants are being affected with many kinds of diseases, which cause great harm to the agricultural plant productions. It is very difficult to monitor the plant diseases. It requires tremendous amount of work, expertise in the plant diseases, and also require the excessive processing speed and time. Hence, image processing is used for the detection of plant diseases by just capturing the images of the leaves and comparing it with the data sets available. Latest and fostering technologies like Image processing is used to rectify such issues very effectively. In this project, four consecutive stages are used to discover the type of disease. The four stages include pre-processing, leaf segmentation, feature extraction and classification. This paper aims to support and help the farmers in an efficient way.

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Published

2021-11-30

How to Cite

Joshi, B., Kumar, A., Kashyap, S., Nagdi, N., Vinayak, S., & Verma, D. (2021). Smart Plant Disease Detection System. International Journal of Electrical, Electronics and Computers, 6(4). https://journal-repository.com/index.php/ijeec/article/view/4358