A survey:Plant disease detection using deep learning

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
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
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 (ORCID Profile 0000-0002-8012-5852)

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Version: Accepted Version

License: Creative Commons Attribution

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