AIMC Topic: Droughts

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An explainable vision transformer with transfer learning based efficient drought stress identification.

Plant molecular biology Jul 31, 2025
Early detection of drought stress is critical for taking timely measures for reducing crop loss before the drought impact becomes irreversible. The subtle phenotypical and physiological changes in response to drought stress are captured by non-invasi...
Stress, Physiological Droughts Crops, Agricultural Solanum tuberosum Machine Learning Image Processing, Computer-Assisted Support Vector Machine Deep Learning
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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...
Support Vector Machine Ethiopia Droughts Machine Learning Soil
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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...
Oryza Data Mining Gene Regulatory Networks Transcription Factors Gene Expression Regulation, Plant Droughts Chromatin Immunoprecipitation Sequencing Plant Proteins Stress, Physiological Neural Networks, Computer RNA-Seq
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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...
Populus Stress, Physiological Droughts 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...
Droughts Hydrology China Models, Theoretical Humans Rivers Machine Learning Climate Change Environmental Monitoring
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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...
Ecosystem Spatio-Temporal Analysis Computer Simulation Desert Climate Droughts Hydrology Conservation of Water Resources Deep Learning Climate Change
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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 Climate Change Bangladesh Droughts Crops, Agricultural Agriculture Food Security 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, ...
Droughts Rain Soft Computing Machine Learning Regression Analysis Desert Climate Iran
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Light spectrum mediated improved graft-healing response by enhanced expression of transport protein in vegetables under drought conditions.

Plant physiology and biochemistry : PPB Mar 12, 2025
Vegetable production faces unprecedented challenges due to a rapid change in climate. Among several challenges increased stress factors like drought, salinity, and temperature threaten overall vegetable production. Grafting, a well-established techni...
Plant Proteins Light Stress, Physiological Vegetables 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...
Machine Learning Environmental Monitoring Iran Droughts
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