Plant Disease Identification Using Supervised Learning

Registration ID: IJNRD_181408

Published ID: IJNRD2205080

DOI: Click Here to Get

Nishana N , Nowfia N , Subina Thajudeen , Sumi Sunil , Sithara

Convolutional Neural Network (CNN), Deep Learning, Supervised Learning

In recent years, a server-based and mobile-based approach to disease identification has been used. Detecting disease signals quickly and accurately is a critical difficulty in crop protection. Pests and Diseases results in a destruction of crops or part of the plant resulting in decreased food productions leading to food insecurity. Visual identification of diseases in a large farm by experts and agronomists is the primary approach in developing countries which is time-consuming and costly. The proposed system is a mobile application for farmers It also provide disease detection, provide seeds and pesticide name can be prescribe to farmer. Overall, using machine learning to train the large datasets available publicly gives as a clear way to detect the disease present in plants.

Published Paper   E-Certificate

Nishana N, Nowfia N, Subina Thajudeen, Sumi Sunil, & Sithara (May-2022). Plant Disease Identification Using Supervised Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 732-736. https://ijnrd.org/papers/IJNRD2205080.pdf

Volume 7 Issue 5, May-2022

Pages : 732-736

Paper Reg. ID: IJNRD_181408

Published Paper Id: IJNRD2205080

Downloads: 000121982

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2205080.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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