Year: 2018
Type: conference-paper
Abstract: With increasing population the crisis of food is getting bigger day by day. In this time of crisis, the leaf disease of crops is the biggest problem in the food industry. In this paper, we have addressed that problem and proposed an efficient method to detect leaf disease. Leaf diseases can be detected from simple images of the leaves with the help of image processing and segmentation. Using k-means clustering and Otsu's method the faulty region in a leaf is detected which helps to determine proper course of action to be taken. Further the ratio of normal and faulty region if calculated would be able to predict if the leaf can be cured at all.
Authors: Subhajit Maity, Sujan Sarkar, A vinaba Tapadar, Ayan Dutta, Sanket Biswas, Sayon Nayek, Pritam Saha
Institution: Government of West Bengal
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W2897752971