Modified transfer learning frameworks to identify potato leaf diseases-Reference-Cited by-同舟云学术

Modified transfer learning frameworks to identify potato leaf diseases

Published:2023-11-06 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Lanjewar Madhusudan G.^ORCID,Morajkar Pranay^ORCID,P Payaswini^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17610-0.pdf

Reference45 articles.

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2. Devaux A, Goffart J-P, Kromann P, Andrade-Piedra J, Polar V, Hareau G (2022) Correction to: The Potato of the Future: Opportunities and Challenges in Sustainable Agri-food Systems. Potato Res 65(1):209–210. https://doi.org/10.1007/s11540-021-09532-x

3. Minhas A (2022) Value of fresh and chilled potatoes exported from India between financial year 2016 and 2022. [Online]. Available: https://www.statista.com/statistics/1042069/india-value-of-potato-exports/#statisticContainer. Accessed 25 Oct 2022

4. Tsedaley B (2014) Late blight of potato (Phytophthora infestans) biology, economic importance and its management approaches. J Biol Agric Healthc 4(25):215–225

5. Afzaal H et al (2021) Detection of a potato disease (early blight) using artificial intelligence. Remote Sens 13(3):411

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