A Survey: Plant Disease Detection Using Deep Learning

Anshul Tripathi, Uday Chourasia, Priyanka Dixit and Victor Chang
Additional contact information
Anshul Tripathi: Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), India
Uday Chourasia: Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), India
Priyanka Dixit: Gandhi Prodyogiki Vishwavidyalaya (RGPV), India
Victor Chang: Aston University, UK

International Journal of Distributed Systems and Technologies (IJDST), 2021, vol. 12, issue 3, 1-26

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.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJDST.2021070101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jdst00:v:12:y:2021:i:3:p:1-26

Access Statistics for this article

International Journal of Distributed Systems and Technologies (IJDST) is currently edited by Nik Bessis

More articles in International Journal of Distributed Systems and Technologies (IJDST) from IGI Global
Bibliographic data for series maintained by Journal Editor ().