AIMC Topic: Photosynthesis

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Optimization and control of the light environment for greenhouse crop production.

Scientific reports Jun 17, 2019
Optimization and control of the greenhouse light environment is key to increasing crop yield and quality. However, the light saturation point impacts the efficient use of light. Therefore, the dynamic acquisition of the light saturation point that is...
Cucumis Photosynthesis Crop Production Light Carbon Dioxide Crops, Agricultural Plant Leaves Seedlings Humans Support Vector Machine Models, Statistical Temperature
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Using artificial neural network to investigate physiological changes and cerium oxide nanoparticles and cadmium uptake by Brassica napus plants.

Environmental pollution (Barking, Essex : 1987) Dec 12, 2018
Heavy metals and emerging engineered nanoparticles (ENPs) are two current environmental concerns that have attracted considerable attention. Cerium oxide nanoparticles (CeONPs) are now used in a plethora of industrial products, while cadmium (Cd) is ...
Humans Soil Nanoparticles Neural Networks, Computer Photosynthesis Cadmium Plant Roots Cerium Brassica napus Soil Pollutants
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Machine Learning Techniques for Predicting Crop Photosynthetic Capacity from Leaf Reflectance Spectra.

Molecular plant Apr 28, 2017
Harnessing natural variation in photosynthetic capacity is a promising route toward yield increases, but physiological phenotyping is still too laborious for large-scale genetic screens. Here, we evaluate the potential of leaf reflectance spectroscop...
Photosynthesis Phylogeny Plant Leaves Crops, Agricultural Machine Learning Phenotype
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Modeling the reflection of Photosynthetically active radiation in a monodominant floodable forest in the Pantanal of Mato Grosso State using multivariate statistics and neural networks.

Anais da Academia Brasileira de Ciencias Aug 15, 2016
The study of radiation entrance and exit dynamics and energy consumption in a system is important for understanding the environmental processes that rule the biosphere-atmosphere interactions of all ecosystems. This study provides an analysis of the ...
Forests Seasons Wetlands Rain Brazil Time Factors Photosynthesis Radiation Multivariate Analysis Humidity Neural Networks, Computer Wind
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Hourly photosynthetically active radiation estimation in Midwestern United States from artificial neural networks and conventional regressions models.

International journal of biometeorology Dec 29, 2015
The relationship between hourly photosynthetically active radiation (PAR) and the global solar radiation (R s ) was analyzed from data gathered over 3 years at Bondville, IL, and Sioux Falls, SD, Midwestern USA. These data were used to determine temp...
Sunlight Photosynthesis Regression Analysis Neural Networks, Computer Seasons South Dakota Illinois Models, Theoretical
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Generative deep learning model assisted multi-objective optimization for wastewater nitrogen to protein conversion by photosynthetic bacteria.

Bioresource technology Sep 1, 2025
For decades, the photosynthetic bacteria (PSB)-based nitrogen treatment and valorization from wastewater have been explored. However, balancing nitrogen removal performance and resource recovery potential in PSB has remained a key unresolved issue fo...
Deep Learning Bacterial Proteins Nitrogen Wastewater Water Purification Neural Networks, Computer Biological Oxygen Demand Analysis Photosynthesis
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Fermi calculations enable quick downselection of target genes and process optimization in photosynthetic systems.

Plant physiology Jul 3, 2025
Understanding how photosynthetic organisms including plants and microbes respond to their environment is crucial for optimizing agricultural practices and ensuring food and energy security, particularly in the context of climactic change and sustaina...
Computer Simulation Plants Photosynthesis
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GRANA: An AI-based tool for accelerating chloroplast grana nanomorphology analysis using hybrid intelligence.

Plant physiology May 30, 2025
Grana are fundamental structural units of the intricate chloroplast membrane network. Investigating their nanomorphology is essential for understanding photosynthetic efficiency regulation. Here, we present GRANA (Graphical Recognition and Analysis o...
Software Chloroplasts Thylakoids Photosynthesis Neural Networks, Computer Artificial Intelligence
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Estimation of mesophyll conductance in Ginkgo biloba from the PSII redox state using a machine learning approach.

Tree physiology Mar 28, 2025
Mesophyll conductance (gm) has been proved to be one of the important factors limiting photosynthesis and thus affects the estimation of plant productivity and terrestrial carbon balance. However, beyond the leaf scale, gm is usually assumed to be in...
Plant Leaves Oxidation-Reduction Ginkgo biloba Machine Learning Mesophyll Cells Photosynthesis Photosystem II Protein Complex
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Predicting Fitness-Related Traits Using Gene Expression and Machine Learning.

Genome biology and evolution Feb 3, 2025
Evolution by natural selection occurs at its most basic through the change in frequencies of alleles; connecting those genomic targets to phenotypic selection is an important goal for evolutionary biology in the genomics era. The relative abundance o...
Gene Expression Regulation, Plant Photosynthesis Genetic Fitness Transcriptome Selection, Genetic Ipomoea Machine Learning Phenotype
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