AIMC Topic: Droughts

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Morphological traits of drought tolerant horse gram germplasm: classification through machine learning.

Journal of the science of food and agriculture Jul 3, 2020
BACKGROUND: Horse gram (Macrotyloma uniflorum (Lam.) Verdc.) is an underutilized pulse crop with good drought resistance traits. It is a rich source of protein. Conventional breeding methods for high yielding and abiotic stress tolerant germplasm are...
Machine Learning Seeds Fabaceae Stress, Physiological Algorithms Phenotype Genotype Plant Breeding Quantitative Trait Loci Droughts
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Drought index prediction using advanced fuzzy logic model: Regional case study over Kumaon in India.

PloS one May 21, 2020
A new version of the fuzzy logic model, called the co-active neuro fuzzy inference system (CANFIS), is introduced for predicting standardized precipitation index (SPI). Multiple scales of drought information at six meteorological stations located in ...
Multivariate Analysis Droughts Water Resources Meteorological Concepts Conservation of Water Resources Environmental Monitoring Fuzzy Logic Linear Models India Models, Theoretical Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms
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Autonomously Moving Pine-Cone Robots: Using Pine Cones as Natural Hygromorphic Actuators and as Components of Mechanisms.

Artificial life Feb 6, 2020
We have developed autonomously moving pine-cone robots, which are made of multiple joined pine-cone scales for outdoor natural environments. We achieved these natural robots by using pine cones as both natural hygromorphic actuators and components of...
Rain Pinus Plant Components, Aerial Droughts Robotics
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Differential gene expression and gene ontologies associated with increasing water-stress in leaf and root transcriptomes of perennial ryegrass (Lolium perenne).

PloS one Jul 30, 2019
Perennial ryegrass (Lolium perenne) is a forage and amenity grass species widely cultivated in temperate regions worldwide. As such, perennial ryegrass populations are exposed to a range of environmental conditions and stresses on a seasonal basis an...
Lolium Gene Expression Profiling Transcriptome Gene Expression Regulation, Plant Droughts Dehydration Genotype Plant Proteins Plant Leaves Gene Ontology Plant Roots
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Research on soil moisture prediction model based on deep learning.

PloS one Apr 3, 2019
Soil moisture is one of the main factors in agricultural production and hydrological cycles, and its precise prediction is important for the rational use and management of water resources. However, soil moisture involves complex structural characteri...
Soil Reproducibility of Results Deep Learning China Water Agriculture Algorithms Temperature Droughts Meteorology Regression Analysis Models, Theoretical Weather Groundwater Agricultural Irrigation
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Root traits of European Vicia faba cultivars-Using machine learning to explore adaptations to agroclimatic conditions.

Plant, cell & environment Oct 16, 2017
Faba bean (Vicia faba L.) is an important source of protein, but breeding for increased yield stability and stress tolerance is hampered by the scarcity of phenotyping information. Because comparisons of cultivars adapted to different agroclimatic zo...
Vicia faba Machine Learning Adaptation, Physiological Reproducibility of Results Droughts Europe Plant Roots
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Forecasting SPEI and SPI Drought Indices Using the Integrated Artificial Neural Networks.

Computational intelligence and neuroscience Dec 30, 2015
The presented paper compares forecast of drought indices based on two different models of artificial neural networks. The first model is based on feedforward multilayer perceptron, sANN, and the second one is the integrated neural network model, hANN...
Droughts Water Cycle Humans Forecasting Neural Networks, Computer Models, Theoretical Environmental Monitoring
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Intergenerational inequity from hydrological drought in a warming world.

Journal of environmental management Jul 1, 2025
As warmer temperatures enhance atmospheric moisture, hydrological droughts tend to intensify in most regions of the globe. Consequently, younger generations are expected to face a more severe risk of hydrological drought during their lifetimes, empha...
Climate Change Droughts Hydrology Humans
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Comparison of hybrid machine learning models to predict short-term meteorological drought in Guanzhong region, China.

Water science and technology : a journal of the International Association on Water Pollution Research Jun 1, 2023
Reliable drought prediction plays a significant role in drought management. Applying machine learning models in drought prediction is getting popular in recent years, but applying the stand-alone models to capture the feature information is not suffi...
Machine Learning Algorithms China Droughts Meteorology
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Deep learning-based high-throughput phenotyping accelerates gene discovery for stomatal traits.

Plant physiology Nov 3, 2021
Quantitative Trait Loci Droughts Plant Stomata Phenotype Water Neural Networks, Computer Deep Learning Zea mays Genome-Wide Association Study Algorithms Sorghum
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