Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops

Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops

Abstract Plant stress reduction research has advanced significantly with the use of Artificial Intelligence (AI) techniques, such as machine learning and deep learning. This is a significant step toward sustainable agriculture. Innovative insights into the physiological responses of plants mostly cr...

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Bibliographic Details
Main Authors: Tariq Ali, Saif Ur Rehman, Shamshair Ali, Khalid Mahmood, Silvia Aparicio Obregon, Rubén Calderón Iglesias, Tahir Khurshaid, Imran Ashraf
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Plant science
Machine learning
Deep learning
Simple modular architecture research tool (SMART)
Plant drought stress
Online Access:https://doi.org/10.1038/s41598-024-74127-8
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https://doi.org/10.1038/s41598-024-74127-8

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