Authors :
Mayur S. Shinde, Tejas H. Kenjale
Volume/Issue :
Volume 5 - 2020, Issue 4 - April
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/2YVu7Pi
Abstract :
Phytopathology is the scientific study of plant
diseases caused by environmental conditions. Plant
diseases must be detected in the early stages of harvest.
For detection of plant diseases as accurately and quickly
as possible with the lower costs, analysis of patterns and
symptoms of plant disease are required. Hence, we
present a system which will detect whether the plant is
affected with any disease. If the plant is affected with
any disease, the system will provide the causes for
disease along with solution for the same. This system is
using CNN, that comes under Deep Learning which is
primarily used for classification of images based on the
characteristics.
Keywords :
Phytopathology, CNN (Convolution Neural Network), Harvest, Plant Disease Detection
Phytopathology is the scientific study of plant
diseases caused by environmental conditions. Plant
diseases must be detected in the early stages of harvest.
For detection of plant diseases as accurately and quickly
as possible with the lower costs, analysis of patterns and
symptoms of plant disease are required. Hence, we
present a system which will detect whether the plant is
affected with any disease. If the plant is affected with
any disease, the system will provide the causes for
disease along with solution for the same. This system is
using CNN, that comes under Deep Learning which is
primarily used for classification of images based on the
characteristics.
Keywords :
Phytopathology, CNN (Convolution Neural Network), Harvest, Plant Disease Detection
