AIMC Topic: Photosynthesis

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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...
Machine Learning Phenotype Crops, Agricultural Phylogeny Photosynthesis Plant Leaves
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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 ...
Photosynthesis Radiation Humidity Rain Multivariate Analysis Wind Time Factors Seasons Neural Networks, Computer Brazil Forests Wetlands
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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...
South Dakota Sunlight Neural Networks, Computer Photosynthesis Models, Theoretical Regression Analysis Seasons Illinois
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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...
Biological Oxygen Demand Analysis Water Purification Neural Networks, Computer Photosynthesis Deep Learning Wastewater Bacterial Proteins Nitrogen
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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 Photosynthesis Thylakoids 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...
Machine Learning Plant Leaves Photosynthesis Photosystem II Protein Complex Oxidation-Reduction Ginkgo biloba Mesophyll Cells
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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...
Genetic Fitness Ipomoea Transcriptome Selection, Genetic Gene Expression Regulation, Plant Photosynthesis Machine Learning Phenotype
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Machine learning for image-based multi-omics analysis of leaf veins.

Journal of experimental botany Sep 13, 2023
Veins are a critical component of the plant growth and development system, playing an integral role in supporting and protecting leaves, as well as transporting water, nutrients, and photosynthetic products. A comprehensive understanding of the form ...
Photosynthesis Machine Learning Multiomics Algorithms Plant Leaves
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