
Disease Detection In Cotton Leaf Spot Using Image Processing
Author(s) -
J. Karthika,
Kapil Kumar,
M. Santhose,
Taresh Sarvesh Sharan,
Srivats Hariharan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012224
Subject(s) - acre , agriculture , leaf spot , disease , production (economics) , plant disease , microbiology and biotechnology , computer science , biology , agricultural science , medicine , agronomy , pathology , economics , ecology , macroeconomics
Agriculture isn’t solely a method of food for ever-growing populations, however over that. The infected plants cause ill-health in humans and additionally decrease gradually the economy of the country. Therefore, distinguishing plant diseases at an early stage becomes necessary method to avoid losses in an agricultural production system. Largely the symptoms of the malady are visible on leaves. Manually observance of each plant during an immense in acre is hard. Hence, image process techniques area unit accustomed to observe and determine the diseases in the plant that may be a higher various to observe diseases quickly and correctly.