INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
Tomato leaf disease prediction, Deep learning, Convolutional neural network, Illness.
Cite Article:
"PLANT HEALTH MONITORING AND DISEASE IDENTIFICATION USING DEEP LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.a9-a13, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309002.pdf
Downloads:
000118761
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn