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

This study has investigated the development of a predictive model for drought tolerance in rice genotypes, leveraging their phenotypic traits. A dataset encompassing thirteen phenotypic parameters measured in hundred rice genotypes under both stressed and non-stressed conditions has been utilized. D...

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Bibliographic Details

Published in:	2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS) pp. 305 - 311
Main Authors:	Daniels, D Alan, Binodh, Asish K., Raimond, Kumudha, Thankappan, Sugitha
Format:	Conference Proceeding
Language:	English
Published:	IEEE 17-04-2024
Subjects:	Analytical models climate change Cognitive robotics Correlation Drought tolerance Droughts food security Intelligent systems Machine learning phenotypic traits Predictive models rice genotypes water scarcity
Online Access:	Get full text
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