Tripathi, Anshul, Chourasia, Uday, Dixit, Priyanka and Chang, Victor (2021). A survey:Plant disease detection using deep learning. International Journal of Distributed Systems and Technologies, 12 (3),
Abstract
Agriculture occupation has been the prime occupation in India since the primeval era. Nowadays, the country is ranked second in the prime occupations threatening global warming. Apart from this, diseases in plants are challenging to this prime source of livelihood. The present research can help in recognition of different diseases among plants and help to find out the solution or remedy that can be a defense mechanism in counter to the diseases. Finding diseases among plant DL is considered to the most perfect and exact paradigms. Four labels are classified as “bacterial spot,” “yellow leaf curl virus,” “late blight,” and “healthy leaf.” An exemplar model of the drone is also designed for the purpose. The said model will be utilized for a live report for extended large crop fields. In this exemplar drone model, a high-resolution camera is attached. The captured images of plants will act as software input. On this basis, the software will immediately tell which plants are healthy and which are diseased.
Publication DOI: | https://doi.org/10.4018/IJDST.2021070101 |
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Divisions: | College of Business and Social Sciences > Aston Business School College of Business and Social Sciences > Aston Business School > Operations & Information Management |
Additional Information: | © 2021 IGI Global |
Uncontrolled Keywords: | Deep Learning,Plant Disease,Primeval,Hardware and Architecture,Computer Networks and Communications |
Publication ISSN: | 1947-3540 |
Last Modified: | 08 Oct 2024 17:46 |
Date Deposited: | 09 Jun 2022 11:10 |
Full Text Link: | |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) https://www.igi ... /article/284431 (Publisher URL) |
PURE Output Type: | Review article |
Published Date: | 2021-07-01 |
Accepted Date: | 2021-07-01 |
Authors: |
Tripathi, Anshul
Chourasia, Uday Dixit, Priyanka Chang, Victor ( 0000-0002-8012-5852) |