A Study on Plant Leaf Disease Detection Using Image Processing

A Study on Plant Leaf Disease Detection Using Image Processing

Aryan singha, Shavez rahman b*, Abhishek Kumarc

abc Student of  BCA  in  Tula’s Institute Dhoolkot Dehradun i, India,

Under Guidance Assistant Professor Mr.Rakesh Kumar (Computer Science and Engineering)

ABSTRACT
The first step in preventing reductions in agricultural product productivity and quantity is the identification of plant diseases. The research on plant diseases refers to examinations of patterns on the plant that may be observed with the naked eye. For agriculture to be sustainable, plant disease diagnosis and health monitoring are essential. Using image processing techniques, we demonstrate an automatic detection of plant diseases in this research. The system that is being introduced is a software tool for the automatic detection of plant leaf diseases and the computation of textural statistics. The four main steps of the processing system are as follows: creating a colour transformation structure for the input RGB image, masking and removing the green pixels using a specific threshold value, segmenting the image and extracting the useful segments, and computing the texture statistics. The illnesses, if any, that are present on the plant leaf are assessed by the texture statistics.

Keywords: Neural Network, Classification, Features Extraction, Pre-Processing, and Image Acquisition.