Authors :
Dr. B. Swaminathan, B.Nivetha, G.Nadarajan, S.Nagarajan
Volume/Issue :
Volume 5 - 2020, Issue 3 - March
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://bit.ly/33R5V11
Abstract :
Plant diseases have become a major problem
because it can considerably have an effect on both the
quantity and quality of the agricultural products. It is
very hard to identify and treat the plant disease with
traditional methods. Automatic detection of plant
diseases, growth of leaf and color change is an important
research topic because it detects the symptoms of plant
diseases as quickly as they are present on the leaves and
helps in monitoring large fields of crops. Image
processing techniques are used to solve the problem of
identifying and extracting the affected plant parts in an
effective manner. The proposed system gives a software
solution for detecting the leaf disease, growth and color
change.
Keywords :
Classification, Feature Extraction, Plant Disease Detection, Segmentation, Neural Network.
Plant diseases have become a major problem
because it can considerably have an effect on both the
quantity and quality of the agricultural products. It is
very hard to identify and treat the plant disease with
traditional methods. Automatic detection of plant
diseases, growth of leaf and color change is an important
research topic because it detects the symptoms of plant
diseases as quickly as they are present on the leaves and
helps in monitoring large fields of crops. Image
processing techniques are used to solve the problem of
identifying and extracting the affected plant parts in an
effective manner. The proposed system gives a software
solution for detecting the leaf disease, growth and color
change.
Keywords :
Classification, Feature Extraction, Plant Disease Detection, Segmentation, Neural Network.
