APPLICATION ON DETECTING AND TREATING THE DISEASE IN PLANT/CROPS

Registration ID: IJNRD_217102

Published ID: IJNRD2404161

DOI: Click Here to Get

J.Lethisia Nithiya , G Ajay Simha Reddy , G Sai nithin , G.N Yuva Simha Reddy

Rapid improvements in deep learning (DL) techniques have made it possible to detect and recognize objects from images. DL approaches have recently entered various agricultural and farming applications after being successfully employed in various fields. Automatic identification of plant diseases can help farmers manage their crops more effectively, resulting in higher yields. Detecting plant disease in crops using images is an intrinsically difficult task. In addition to their detection, individual species identification is necessary for applying tailored control methods. A survey of research initiatives that use convolutional neural networks (CNN), a type of DL, to address various plant disease detection concerns was undertaken in the current publication. In this work, we have reviewed 100 of the most relevant CNN articles on detecting various plant leaf diseases over the last five years. In addition, we identified and summarized several problems and solutions corresponding to the CNN used in plant leaf disease detection. Moreover, Deep convolutional neural networks (DCNN) trained on image data were the most effective method for detecting early disease detection. We expressed the benefits and drawbacks of utilizing CNN in agriculture, and we discussed the direction of future developments in plant disease detection.

Published Paper   E-Certificate

J.Lethisia Nithiya, G Ajay Simha Reddy, G Sai nithin, & G.N Yuva Simha Reddy (April-2024). APPLICATION ON DETECTING AND TREATING THE DISEASE IN PLANT/CROPS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), b467-b473. https://ijnrd.org/papers/IJNRD2404161.pdf

Volume 9 Issue 4, April-2024

Pages : b467-b473

Paper Reg. ID: IJNRD_217102

Published Paper Id: IJNRD2404161

Downloads: 000121981

Research Area: Engineering

Country: kanchipuram, tamil nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404161.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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