AIMC Topic: Droughts

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

Scientific reports Dec 3, 2024
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 ph...
Algorithms Deep Learning Neural Networks, Computer Machine Learning Crops, Agricultural Stress, Physiological Droughts Agriculture Support Vector Machine
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Integration of SPEI and machine learning for assessing the characteristics of drought in the middle ganga plain, an agro-climatic region of India.

Environmental science and pollution research international Oct 29, 2024
Drought, as a natural and intricate climatic phenomenon, poses challenges with implications for both natural ecosystems and socioeconomic conditions. Evaluating the characteristics of drought is a significant endeavor aimed at mitigating its impact o...
Machine Learning Neural Networks, Computer Ecosystem India Climate Droughts
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Genotype-specific responses to drought stress in myrtle ( L.): integrating machine learning techniques.

PeerJ Oct 7, 2024
BACKGROUND: Myrtle ( L.), native to the Mediterranean region of Türkiye, is a valuable plant with applications in traditional medicine, pharmaceuticals, and culinary practices. Understanding how myrtle responds to water stress is essential for sustai...
Droughts Stress, Physiological Machine Learning Myrtus Genotype
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Examining optimized machine learning models for accurate multi-month drought forecasting: A representative case study in the USA.

Environmental science and pollution research international Aug 13, 2024
The Colorado River has experienced a significant streamflow reduction in recent decades due to climate change, resulting in pronounced hydrological droughts that pose challenges to the environment and human activities. However, current models struggl...
Forecasting United States Models, Theoretical Machine Learning Droughts Rivers Climate Change
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Utilizing machine learning and bioinformatics analysis to identify drought-responsive genes affecting yield in foxtail millet.

International journal of biological macromolecules Jul 29, 2024
Drought stress is a major constraint on crop development, potentially causing huge yield losses and threatening global food security. Improving Crop's stress tolerance is usually associated with a yield penalty. One way to balance yield and stress to...
Genes, Plant Gene Expression Regulation, Plant Droughts Computational Biology Gene Expression Profiling Machine Learning Setaria Plant Plant Proteins Haplotypes Transcriptome Stress, Physiological
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Integrating non-invasive VIS-NIR and bioimpedance spectroscopies for stress classification of sweet basil (Ocimum basilicum L.) with machine learning.

Biosensors & bioelectronics Jul 17, 2024
Plant stress diagnosis is essential for efficient crop management and productivity increase. Under stress, plants undergo physiological and compositional changes. Vegetation indices obtained from leaf reflectance spectra and bioimpedance spectroscopy...
Salinity Ocimum basilicum Stress, Physiological Dielectric Spectroscopy Droughts Spectroscopy, Near-Infrared Biosensing Techniques Support Vector Machine Plant Leaves Machine Learning
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Enhancing drought resilience: machine learning-based vulnerability assessment in Uttar Pradesh, India.

Environmental science and pollution research international Jun 17, 2024
Drought is a natural and complex climatic hazard. It has both natural and social connotations. The purpose of this study is to use machine learning methods (MLAs) for drought vulnerability (DVM) in Uttar Pradesh, India. There were 18 factors used to ...
Machine Learning Droughts India
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Multimodal deep learning-based drought monitoring research for winter wheat during critical growth stages.

PloS one May 9, 2024
Wheat is a major grain crop in China, accounting for one-fifth of the national grain production. Drought stress severely affects the normal growth and development of wheat, leading to total crop failure, reduced yields, and quality. To address the la...
Droughts Seasons Stress, Physiological Deep Learning China Triticum
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An evaluative technique for drought impact on variation in agricultural LULC using remote sensing and machine learning.

Environmental monitoring and assessment May 6, 2024
Drought events threaten freshwater reservoirs and agricultural productivity, particularly in semi-arid regions characterized by erratic rainfall. This study evaluates a novel technique for assessing the impact of drought on LULC variations in the con...
Satellite Imagery Droughts Remote Sensing Technology Climate Change Machine Learning Agriculture Environmental Monitoring
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Fusion-based approach for hydrometeorological drought modeling: a regional investigation for Iran.

Environmental science and pollution research international Mar 13, 2024
The objective of this study was to model a new drought index called the Fusion-based Hydrological Meteorological Drought Index (FHMDI) to simultaneously monitor hydrological and meteorological drought. Aiming to estimate drought more accurately, loca...
Neural Networks, Computer Artificial Intelligence Algorithms Droughts Iran
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