Identifying Drought-Tolerant Rice Genotypes using Drought Response Indices and Machine Learning-Reference-Cited by-同舟云学术

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Identifying Drought-Tolerant Rice Genotypes using Drought Response Indices and Machine Learning

Published:2024-04-17 Issue: Volume:43 Page:305-311
ISSN:
Container-title:2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS)
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Author:

Daniels D Alan¹,Binodh Asish K.²,Raimond Kumudha¹,Thankappan Sugitha³

Affiliation:

1. Karunya Institute of Technology and Sciences,Dept. of Computer Science and Engineering,Coimbatore,India

2. Tamil Nadu Agricultural University,Centre of Plant Breeding and Genetics,Coimbatore,India

3. Karunya Institute of Technology and Sciences,School of Agricultural Sciences,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10533880/10533882/10533898.pdf?arnumber=10533898

Reference15 articles.

1. Systems biology-based approaches toward understanding drought tolerance in food crops

2. Progress studies of drought-responsive genes in rice

3. Screening diverse soybean genotypes for drought tolerance by membership function value based on multiple traits and drought-tolerant coefficient of yield

4. Finding Phenotypic Biomarkers for Drought Tolerance in Solanum tuberosum

5. Drought tolerance indices and their correlation with yield in exotic wheat genotypes;Anwar;Pak. J. Bot,2011

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