PLANT HEALTH MONITORING AND DISEASE IDENTIFICATION USING DEEP LEARNING

PLANT HEALTH MONITORING AND DISEASE IDENTIFICATION USING DEEP LEARNING

Registration ID: IJNRD_204856

Published ID: IJNRD2309002

DOI: Click Here to Get

Sampathirao Yoganandh , Professor B.Prajna

Tomato leaf disease prediction, Deep learning, Convolutional neural network, Illness.

One of the most significant elements that pose a significant risk to agricultural productivity is the presence of leaf diseases. Finding and naming diseases and pests as soon as they appear is one of the most effective ways to cut down on the financial damage they incur on the farmer. In this study, a convolutional neural network was utilized to automatically detect illnesses that might affect crops. Here we have taken an image dataset containing 10000 images. Training is carried out with the help of the Inception-V3 model. The direct edge in the cross-layer and the multi-layer convolution in the residual network unit of the model. Following the completion of the combined convolution process, it is triggered by the connection into the SoftMax function. The findings of the experiments indicate that this model has an overall recognition accuracy of 81.9%, which substantiates the claim that it is successful. The findings demonstrate that the system is capable of correctly identifying crop illnesses so that the farmer can choose to suitable method to overcome the crop from the identified disease.

Published Paper   E-Certificate

"PLANT HEALTH MONITORING AND DISEASE IDENTIFICATION USING DEEP LEARNING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 9, page no.a9-a13, September-2023, Available :https://ijnrd.org/papers/IJNRD2309002.pdf

Volume 8 Issue 9, September-2023

Pages : a9-a13

Paper Reg. ID: IJNRD_204856

Published Paper Id: IJNRD2309002

Downloads: 000121142

Research Area: Engineering

Country: Srikakulam, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309002.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309002

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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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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