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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 8, ISSUE 5, MAY 2021

Literature Review on “IOT Based Plant Disease Detection”

Shamanth Raj D N, Harshitha B, Vanitha C, Chandu PJ, Vishalini Divakar

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Abstract: This paper presents a secure IOT-plant disease detection system which identifies the plant disease and provides remedies that can be used as a defense mechanism against the disease. The database obtained from the Internet is properly segregated and the different plant species are identified and are renamed to form a proper database then obtain test-database which consists of various plant diseases that are used for checking the accuracy and confidence level of the project. Then using training data, we will train our classifier and then output will be predicted with optimum accuracy. We use Convolution Neural Network (CNN) which comprises of different layers which are used for prediction.

Keywords: Convolution Neural Network (CNN).

How to Cite:

[1] Shamanth Raj D N, Harshitha B, Vanitha C, Chandu PJ, Vishalini Divakar, “Literature Review on “IOT Based Plant Disease Detection”,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2021.8570

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.