AIMC Topic: Oryza

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Machine learning-based potential loss assessment of maize and rice production due to flash flood in Himachal Pradesh, India.

Environmental monitoring and assessment May 2, 2024
Flash floods in mountainous regions like the Himalayas are considered to be common natural calamities. Their consequences often are more dangerous than any flood event in the plains. These hazards not only put human lives at threat but also cause eco...
Agriculture Environmental Monitoring Machine Learning India Crops, Agricultural Floods Zea mays Oryza
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Optimization of computational intelligence approach for the prediction of glutinous rice dehydration.

Journal of the science of food and agriculture Mar 22, 2024
BACKGROUND: Five computational intelligence approaches, namely Gaussian process regression (GPR), artificial neural network (ANN), decision tree (DT), ensemble of trees (EoT) and support vector machine (SVM), were used to describe the evolution of mo...
Water Oryza Decision Trees Support Vector Machine Dehydration Neural Networks, Computer Bayes Theorem Artificial Intelligence
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Towards generalizable food source identification: An explainable deep learning approach to rice authentication employing stable isotope and elemental marker analysis.

Food research international (Ottawa, Ont.) Jan 3, 2024
In addressing the generalization issue faced by data-driven methods in food origin traceability, especially when encountering diverse input variable sets, such as elemental contents (C, N, S), stable isotopes (C, N, S, H and O) and 43 elements measur...
Deep Learning Asia Carbon Isotopes Trace Elements Oryza
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The rhizodynamics robot: Automated imaging system for studying long-term dynamic root growth.

PloS one Dec 21, 2023
The study of plant root growth in real time has been difficult to achieve in an automated, high-throughput, and systematic fashion. Dynamic imaging of plant roots is important in order to discover novel root growth behaviors and to deepen our underst...
Montana Plant Roots Oryza Robotics
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Multitask Deep Learning Enabling a Synergy for Cadmium and Methane Mitigation with Biochar Amendments in Paddy Soils.

Environmental science & technology Dec 12, 2023
Biochar has demonstrated significant promise in addressing heavy metal contamination and methane (CH) emissions in paddy soils; however, achieving a synergy between these two goals is challenging due to various variables, including the characteristic...
Cadmium Methane Oryza Artificial Intelligence Soil Deep Learning Charcoal
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Deep learning-enabled discovery and characterization of HKT genes in Spartina alterniflora.

The Plant journal : for cell and molecular biology Jul 26, 2023
Spartina alterniflora is a halophyte that can survive in high-salinity environments, and it is phylogenetically close to important cereal crops, such as maize and rice. It is of scientific interest to understand why S. alterniflora can live under suc...
Genes, Plant Plant Breeding Deep Learning Poaceae Oryza
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Efficient reduction of Cr(VI) by guava (Psidium guajava) leaf extract and its mitigation effect on Cr toxicity in rice seedlings.

Journal of environmental sciences (China) Jul 4, 2023
Hexavalent chromium (Cr(VI)) is a toxic element that has negative impacts on crop growth and yield. Using plant extracts to convert toxic Cr(VI) into less toxic Cr(III) may be a more favorable option compared to chemical reducing agents. In this stud...
Chromium Plant Extracts Oryza Psidium Seedlings Antioxidants
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DeepCGP: A Deep Learning Method to Compress Genome-Wide Polymorphisms for Predicting Phenotype of Rice.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2023
Genomic selection (GS) is expected to accelerate plant and animal breeding. During the last decade, genome-wide polymorphism data have increased, which has raised concerns about storage cost and computational time. Several individual studies have att...
Phenotype Animals Deep Learning Bayes Theorem Oryza Genomics Polymorphism, Single Nucleotide Genotype Models, Genetic
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Deep Transfer Learning Technique for Multimodal Disease Classification in Plant Images.

Contrast media & molecular imaging May 13, 2023
Rice () is India's major crop. India has the most land dedicated to rice agriculture, which includes both brown and white rice. Rice cultivation creates jobs and contributes significantly to the stability of the gross domestic product (GDP). Recogniz...
Neural Networks, Computer Oryza Machine Learning India
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A Deep Learning Framework for Processing and Classification of Hyperspectral Rice Seed Images Grown under High Day and Night Temperatures.

Sensors (Basel, Switzerland) Apr 28, 2023
A framework combining two powerful tools of hyperspectral imaging and deep learning for the processing and classification of hyperspectral images (HSI) of rice seeds is presented. A seed-based approach that trains a three-dimensional convolutional ne...
Oryza Deep Learning Seeds Temperature Neural Networks, Computer
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