A review on rice plant phenotyping traits estimation for disease and growth management using modern ML techniques-Reference-Cited by-同舟云学术

A review on rice plant phenotyping traits estimation for disease and growth management using modern ML techniques

Published:2023-10-02 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Patel Bharati^ORCID,Sharaff Aakanksha

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/s11042-023-17098-8.pdf

Reference122 articles.

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3. Almanac R (2013) Source book for one of the most important economic activities on earth, 4th edn. CABI Publishing, Wallingford, UK

4. Khoenkaw P (2016) An image-processing based algorithm for rice seed germination rate evaluation. In: International Computer Science and Engineering Conference (ICSEC). ICSEC, Chiang Mai, pp 1–5

5. Vimal SR, Patel VK, Singh JS (2019) Plant growth promoting Curtobacterium albidum strain SRV4: an agriculturally important microbe to alleviate salinity stress in paddy plants. Ecol Ind 105:553–562

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