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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19455
Article Published : 8041
Total Authors : 21252
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| Paper Title: | Plant disease detection and classification using deep learning: An overview |
| Authors Name: | Nutan Dolzake , Kiran Bhandari |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_181806
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| Published Paper Id: | IJRTI2205016 |
| Published In: | Volume 7 Issue 5, May-2022 |
| DOI: | |
| Abstract: | In this paper various techniques investigation of plant disease are available. Plant disease is a persistent problem for farmers, and it is one of the most serious risks to income and food security. This initiative aims to enhance the quality and quantity of agricultural output in the nation by classifying plant leaves into sick and healthy leaf types. The smart farming system is an innovative technology that aids in the improvement of agricultural quality and quantity. Deep learning using Convolutional Neural Networks (CNNs) has successfully classified various plant leaf diseases. It represents a contemporary technique that offers cost-effective disease diagnosis.CNN presents a simplified version of a much broader image. In this research, we proposed a hybrid deep learning model to detect plant diseases using mixed deep learning techniques. The CNN and Recurrent Neural network (RNN) have been used for feature extraction and classification. Some real-time plant images used for experimental analysis with leaf and fruit objects. |
| Keywords: | CNN, Plant disease, Neural Networks, RNN |
| Cite Article: | "Plant disease detection and classification using deep learning: An overview", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 5, page no.111 - 113, May-2022, Available :http://www.ijrti.org/papers/IJRTI2205016.pdf |
| Downloads: | 000205274 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2205016
Registration ID:181806
Published In: Volume 7 Issue 5, May-2022
DOI (Digital Object Identifier):
Page No: 111 - 113 Country: kalyan,Thane, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2205016 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2205016 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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