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Turmeric Plant Diseases Detection and Classification using Artificial Intelligence

Authors :
S Devi.
G Gowtham.
S Arul.
C. Rajasekaran
S Jeyaram.
Source :
2020 International Conference on Communication and Signal Processing (ICCSP).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

Major disease causing micro-organisms are bacteria and viruses, which are not visible when it affects the plant at initial stage. The human naked eyes after only the later stage it’s visible and its affected whole parts of plants. Artificial Intelligence is an emerging sector in all fields of works for automation and to improve efficiency. It also included in agricultural sector to improve crop yield by identify the disease affection at early and classify type of disease affected for taking precaution measurements to prevent spreading to other plants in field. This becomes possible by image processing on computer vision and train the model by using VGG-16 architecture which is Convolutional Neural Network algorithms.

Details

Database :
OpenAIRE
Journal :
2020 International Conference on Communication and Signal Processing (ICCSP)
Accession number :
edsair.doi...........000cf21c61b5eefbdd19e9f6c5215a7f