AIMC Topic: Droughts

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Machine learning-based drought prediction using Palmer Drought Severity Index and TerraClimate data in Ethiopia.

PloS one Jun 18, 2025
Accurate drought prediction is essential for proactive water management and agricultural planning, especially in regions like Ethiopia that are highly susceptible to climate variability. This study investigates the classification of the Palmer Drough...
Machine Learning Soil Droughts Support Vector Machine Ethiopia
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Deep Neural Network-Mining of Rice Drought-Responsive TF-TAG Modules by a Combinatorial Analysis of ATAC-Seq and RNA-Seq.

Plant, cell & environment Mar 31, 2025
Drought is a critical risk factor that impacts rice growth and yields. Previous studies have focused on the regulatory roles of individual transcription factors in response to drought stress. However, there is limited understanding of multi-factor st...
Gene Expression Regulation, Plant Droughts Chromatin Immunoprecipitation Sequencing Plant Proteins Stress, Physiological RNA-Seq Gene Regulatory Networks Oryza Data Mining Transcription Factors Neural Networks, Computer
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Integrating sensor fusion with machine learning for comprehensive assessment of phenotypic traits and drought response in poplar species.

Plant biotechnology journal Mar 30, 2025
Increased drought frequency and severity in a warming climate threaten the health and stability of forest ecosystems, influencing the structure and functioning of forests while having far-reaching implications for global carbon storage and climate re...
Stress, Physiological Droughts Populus Machine Learning Phenotype
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Assessing climate change and human impacts on runoff and hydrological droughts in the Yellow River Basin using a machine learning-enhanced hydrological modeling approach.

Journal of environmental management Mar 26, 2025
Analyzing the impacts of climate change (CC) and human activities (HA) on hydrological events is important for water resource management. This study quantifies the impacts of CC and HA on runoff and hydrological drought characteristics (HDC) in the Y...
Models, Theoretical Environmental Monitoring Rivers Machine Learning China Hydrology Climate Change Droughts Humans
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Uncovering water conservation patterns in semi-arid regions through hydrological simulation and deep learning.

PloS one Mar 20, 2025
Under the increasing pressure of global climate change, water conservation (WC) in semi-arid regions is experiencing unprecedented levels of stress. WC involves complex, nonlinear interactions among ecosystem components like vegetation, soil structur...
Hydrology Computer Simulation Conservation of Water Resources Desert Climate Ecosystem Climate Change Droughts Spatio-Temporal Analysis Deep Learning
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How monitoring crops and drought, combined with climate projections, enhances food security: Insights from the Northwestern regions of Bangladesh.

Environmental monitoring and assessment Mar 19, 2025
Crop and drought monitoring are vital for sustainable agriculture, as they ensure optimal crop growth, identify stress factors, and enhance productivity, all of which contribute to food security. However, climate projections are equally important as ...
Climate Bangladesh Climate Change Food Security Crops, Agricultural Droughts Agriculture Environmental Monitoring
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Enhancement of standardized precipitation evapotranspiration index predictions by machine learning based on regression and soft computing for Iran's arid and hyper-arid region.

PloS one Mar 18, 2025
Drought is a climate risk that affects access to safe water, crop development, ecological stability, and food production. Therefore, developing drought prediction methods can lead to better management of surface and groundwater resources. Similarly, ...
Desert Climate Regression Analysis Machine Learning Rain Soft Computing Iran Droughts
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Enhancing drought monitoring with a multivariate hydrometeorological index and machine learning-based prediction in the south of Iran.

Environmental science and pollution research international Feb 13, 2025
Traditional drought indices, such as the Standardized Precipitation Index (SPI) and Standardized Runoff Index (SRI), often fail to capture the complexity of drought events, which involve multiple interacting variables. To address this gap, this study...
Environmental Monitoring Iran Droughts Machine Learning
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Integration of remote sensing and machine learning algorithm for agricultural drought early warning over Genale Dawa river basin, Ethiopia.

Environmental monitoring and assessment Feb 4, 2025
Drought remains a menace in the Horn of Africa; as a result, the Ethiopia's Genale Dawa River Basin is one of the most vulnerable to agricultural drought. Hence, this study integrates remote sensing and machine learning algorithm for early warning id...
Remote Sensing Technology Rivers Droughts Satellite Imagery Environmental Monitoring Ethiopia Neural Networks, Computer Algorithms Machine Learning Agriculture
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A rapid method for assessing seed drought resistance using integrated ID-BOA-SVM.

Analytical methods : advancing methods and applications Dec 5, 2024
This study investigates the application of near-infrared spectroscopy (NIR) for assessing drought resistance in seeds, aiming to offer a rapid and efficient method suitable for large-scale primary screening. NIR spectroscopy is utilized to analyze fo...
Seeds Bayes Theorem Zea mays Water Support Vector Machine Droughts Drought Resistance Spectroscopy, Near-Infrared
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