Open AccessA Novel Methods for Agricultural Plant Leaf Disease Detection
Author(s) -
T.Vijaykanth Reddy*,
K Sashirekhak.
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l3298.1081219
Subject(s) - plant disease , computer science , artificial intelligence , agriculture , segmentation , feature (linguistics) , pattern recognition (psychology) , feature extraction , computer vision , image processing , disease , image (mathematics) , geography , medicine , microbiology and biotechnology , biology , pathology , linguistics , philosophy , archaeology
Horticulture is the primary component of financial development in creating nations. Sickness in crops causes noteworthy decrease in amount and nature of the horticultural item. Manual recognition of the ailments is exceptionally troublesome and not precise for agriculturist. So as to recognize the plant infection at an underlying stage programmed illness recognition methods would be beneficial. Disease discovery involve the steps like Image Acquisition, Image pre-processing, Image Segmentation, Image Feature Extraction, Image classification. This paper talked about the strategy utilized for the recognition of plant ailments utilizing their leaves pictures.