Open AccessDisease Identification in Maize Plant Leaf
Author(s) -
G. Siva Nageswara Rao,
C. Siva Reddy,
M. Vamsi Krishna Sai,
Sabir Hussain
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f3952.049620
Subject(s) - identification (biology) , agriculture , segmentation , productivity , disease , image segmentation , product (mathematics) , computer science , artificial intelligence , microbiology and biotechnology , agricultural engineering , biology , botany , engineering , mathematics , medicine , ecology , geometry , macroeconomics , pathology , economics
Agricultural productivity is that issue there on Indian Economy extremely depends. this is often the one altogether the reasons that malady detection in plants plays a really important role within the agriculture field, as having the malady in plants are quite natural. If correct care isn't taken during this space then it causes serious effects on plants and since of that various product quality, amount or productivity is affected. Detection of disease through some automatic technique is useful because it reduces an oversized work of watching in huge farms of crops, and at terribly early stage itself detects the symptoms of diseases means after they appear on plant leaves. This paper presents a neural network algorithm for image segmentation technique used for automatic detection still because the classification of plants and survey on completely different diseases classification techniques which will be used for plant disease detection. Image segmentation, that is a really important facet for malady detection in disease is completed by victimization genetic algorithm.