AIMC Topic: Droughts

Clear Filters Showing 1 to 10 of 44 articles

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
View on PubMed DOI

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
View on PubMed DOI

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
View on PubMed DOI

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 Populus Droughts Machine Learning Phenotype
View on PubMed DOI

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 Rivers Climate Change Humans Environmental Monitoring Machine Learning
View on PubMed DOI

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 Deep Learning Hydrology Climate Change Conservation of Water Resources
View on PubMed DOI

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 Agriculture Droughts Bangladesh Crops, Agricultural Environmental Monitoring Food Security
View on PubMed DOI

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 Regression Analysis Iran Machine Learning Desert Climate
View on PubMed DOI

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 Stress, Physiological Droughts Light Vegetables
View on PubMed DOI

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 Iran Droughts Environmental Monitoring
View on PubMed DOI
Popular Topics
Recent Journals