Assessment and prediction of index based agricultural drought vulnerability using machine learning algorithms-Reference-Cited by-同舟云学术

Assessment and prediction of index based agricultural drought vulnerability using machine learning algorithms

Published:2023-04 Issue: Volume:867 Page:161394
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Kafy Abdulla - Al,Bakshi Arpita,Saha Milan,Faisal Abdullah Al,Almulhim Abdulaziz I.,Rahaman Zullyadini A.,Mohammad Pir

Funder

University of Texas at Austin

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference106 articles.

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2. A review on drought stress in plants: implications, mitigation and the role of plant growth promoting rhizobacteria;Ahluwalia;Resour. Environ. Sustain.,2021

3. Identification of meteorological drought prone area in Bangladesh using standardized precipitation index Abdullah;Al Mamun;J. Earth Sci. Clim. Chang.,2018

4. Monitoring meteorological and agricultural drought dynamics in Barind region Bangladesh using standard precipitation index and Markov chain model;Alam;International Journal of Geomatics and Geosciences,2013

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