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IMAGE-BASED DETECTION OF PLANT DISEASES: MACHINE LEARNING TO DEEP LEARNING JOURNEY
ISSN: 2582 - 9130
Publisher: author
IMAGE-BASED DETECTION OF PLANT DISEASES: MACHINE LEARNING TO DEEP LEARNING JOURNEY
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 2
Article Operation Score: 3
Article Articles Score: 2
Article Accessibility Score: 3
SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-1802
Publisher: Krishma Publication
International Journal Address (IAA):
IAA.ZONE/2582384079130
eISSN
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2582 - 9130
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Abstract
In this project, we are predicting plant related diseases by using machine learning algorithms and image detection techniques. A considerable per cent of the tomato, cotton, rice, wheat plant gets destroyed due to the diseases, which can severely affect the farmer‟s yield. To overcome the loss of farmers related to disease of all given plants we are proposing a system which will be able to detect the disease of the plant by analysing the symptoms related to the leaf of the plant. It will be able to detect the disease related to the plant and will give some suggestions for disease prevention and cure.In order to detect whether the plant is suffering from any kind of diseases or not we will capture the image of the leaf. This image will be classified on the basis of our model. Multiple pre-processing will be done on the image and it will be fed to the prediction model which will tell us about the disease of the plant. Keywords: HT...
