AIMC Topic: Droughts

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Robotic Assay for Drought (RoAD): an automated phenotyping system for brassinosteroid and drought responses.

The Plant journal : for cell and molecular biology Aug 10, 2021
Brassinosteroids (BRs) are a group of plant steroid hormones involved in regulating growth, development, and stress responses. Many components of the BR pathway have previously been identified and characterized. However, BR phenotyping experiments ar...
Arabidopsis Proteins Arabidopsis Brassinosteroids Protein Kinases Triazoles Droughts Soil Image Processing, Computer-Assisted Robotics Seedlings Zea mays Equipment Design Machine Learning Phenotype
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Estimation and easy calculation of the Palmer Drought Severity Index from the meteorological data by using the advanced machine learning algorithms.

Environmental monitoring and assessment Aug 10, 2020
Drought, which has become one of the most severe environmental problems worldwide, has serious impacts on ecological, economic, and socially sustainable development. The drought monitoring process is essential in the management of drought risks, and ...
Machine Learning Droughts Algorithms Environmental Monitoring Support Vector Machine
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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...
Phenotype Genotype Seeds Machine Learning Algorithms Droughts Plant Breeding Fabaceae Stress, Physiological Quantitative Trait Loci
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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 ...
Meteorological Concepts Conservation of Water Resources Multivariate Analysis Fuzzy Logic Artificial Intelligence Neural Networks, Computer Droughts Linear Models Machine Learning Algorithms Water Resources India Models, Theoretical Environmental Monitoring
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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...
Pinus Robotics Plant Components, Aerial Droughts Rain
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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...
Gene Expression Profiling Transcriptome Genotype Droughts Lolium Plant Proteins Plant Leaves Gene Ontology Plant Roots Dehydration Gene Expression Regulation, Plant
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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...
Deep Learning Droughts China Temperature Regression Analysis Water Meteorology Algorithms Soil Agriculture Reproducibility of Results Weather Models, Theoretical Agricultural Irrigation Groundwater
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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...
Adaptation, Physiological Droughts Vicia faba Machine Learning Reproducibility of Results 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 Forecasting Humans Models, Theoretical Neural Networks, Computer Environmental Monitoring
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Harnessing public sentiment discourse for early drought detection and water crisis response for strategic water management and resilient policy planning.

The Science of the total environment Aug 10, 2025
The extensive and gradual onset of drought prompts critical examination of the alterations and engagement among substantial demographics during the drought's advancement and the consequent effects of such shifts on drought detection. This research ex...
Water Supply Machine Learning Pakistan Droughts Public Opinion Conservation of Water Resources
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