AIMC Topic: Flowers

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Deep Neural Networks for Automatic Flower Species Localization and Recognition.

Computational intelligence and neuroscience Apr 29, 2022
Deep neural networks are efficient methods of recognizing image patterns and have been largely implemented in computer vision applications. Object detection has many applications in computer vision, including face and vehicle detection, video surveil...
Neural Networks, Computer Software Flowers
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Combining novel technologies with interdisciplinary basic research to enhance horticultural crops.

The Plant journal : for cell and molecular biology Nov 10, 2021
Horticultural crops mainly include fruits, vegetables, ornamental trees and flowers, and tea trees (Melaleuca alternifolia). They produce a variety of nutrients for the daily human diet in addition to the nutrition provided by staple crops, and some ...
Artificial Intelligence Nutrients Computational Biology Trees Vegetables Climate Change Plant Breeding Fruit Flowers Crops, Agricultural Interdisciplinary Research Bioengineering Horticulture
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Automated color detection in orchids using color labels and deep learning.

PloS one Oct 27, 2021
The color of particular parts of a flower is often employed as one of the features to differentiate between flower types. Thus, color is also used in flower-image classification. Color labels, such as 'green', 'red', and 'yellow', are used by taxonom...
Flowers Deep Learning Color Plants Algorithms
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Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds.

PLoS computational biology Sep 16, 2021
Bee-mediated pollination greatly increases the size and weight of tomato fruits. Therefore, distinguishing between the local set of bees-those that are efficient pollinators-is essential to improve the economic returns for farmers. To achieve this, i...
Algorithms Animals Computational Biology Machine Learning Pollination Flowers Solanum lycopersicum Bees Acoustics Crops, Agricultural
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Can AI distinguish a bone radiograph from photos of flowers or cars? Evaluation of bone age deep learning model on inappropriate data inputs.

Skeletal radiology Aug 5, 2021
OBJECTIVE: To evaluate the behavior of a publicly available deep convolutional neural network (DCNN) bone age algorithm when presented with inappropriate data inputs in both radiological and non-radiological domains.
Deep Learning Child Automobiles Humans Neural Networks, Computer Radiography Flowers
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Can plants fool artificial intelligence? Using machine learning to compare between bee orchids and bees.

Plant signaling & behavior Jun 20, 2021
Bee orchids have long been an excellent example of how dishonest signal works in plant-animal interaction. Many studies compared the flower structures that resemble female bees, leading toward pseudo-copulation of the male bees on the flower. Using M...
Flowers Bees Pollination Orchidaceae Biological Mimicry Animals Male Image Processing, Computer-Assisted Artificial Intelligence Female
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Machine learning, transcriptome, and genotyping chip analyses provide insights into SNP markers identifying flower color in Platycodon grandiflorus.

Scientific reports Apr 13, 2021
Bellflower is an edible ornamental gardening plant in Asia. For predicting the flower color in bellflower plants, a transcriptome-wide approach based on machine learning, transcriptome, and genotyping chip analyses was used to identify SNP markers. S...
Color Transcriptome Genotyping Techniques Machine Learning Genetic Markers Polymorphism, Single Nucleotide Genotype Pigmentation Platycodon Flowers
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Opposite valence social information provided by bio-robotic demonstrators shapes selection processes in the green bottle fly.

Journal of the Royal Society, Interface Mar 17, 2021
Social learning represents a high-level complex process to acquire information about the environment, which is increasingly reported in invertebrates. The animal-robot interaction paradigm turned out to be an encouraging strategy to unveil social lea...
Animals Robotics Diptera Flowers Behavior, Animal Social Learning
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Efficient extraction of flavonoids from Flos Sophorae Immaturus by tailored and sustainable deep eutectic solvent as green extraction media.

Journal of pharmaceutical and biomedical analysis Dec 20, 2018
In the face of the many shortcomings of conventional organic solvents in the age of green chemistry, deep eutectic solvents (DESs) appear under the spotlight of natural product extraction because of its outstanding advantages. In this study, the extr...
Rutin Kaempferols Flavonoids Flowers Solvents Phenols Water Microwaves Quercetin Plant Extracts Flavonols
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Protective effect of polysaccharide from Sophora japonica L. flower buds against UVB radiation in a human keratinocyte cell line (HaCaT cells).

Journal of photochemistry and photobiology. B, Biology Dec 5, 2018
Natured botanical extract has attracted considerable attention recently in the field of skin anti-ultraviolet (UV) radiation. As a medicinal herb, Sophora japonica flower buds contained several components such as flavonoids, isoflavonoids, triterpene...
Apoptosis Cell Line Sophora Cell Survival Keratinocytes Radiation-Protective Agents Humans Flowers Polysaccharides MAP Kinase Signaling System Ultraviolet Rays
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