AIMC Topic: Pyrus

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Genome-wide annotation and comparative analysis of miniature inverted-repeat transposable elements (MITEs) in six pear species.

Planta Jun 16, 2025
Through multi-faceted comparative analysis of MITEs across six pear genomes, we revealed their distribution patterns, functional impacts and their significant role as genomic origins for miRNAs, with copy number being the most critical factor for MIT...
Evolution, Molecular Molecular Sequence Annotation MicroRNAs DNA Transposable Elements Pyrus Genome, Plant Inverted Repeat Sequences Phylogeny
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Computer Vision in Monitoring Fruit Browning: Neural Networks vs. Stochastic Modelling.

Sensors (Basel, Switzerland) Apr 15, 2025
As human labour is limited and therefore expensive, computer vision has emerged as a solution with encouraging results for monitoring and sorting tasks in the agrifood sector, where conventional methods for inspecting fruit browning that are generall...
Humans Neural Networks, Computer Stochastic Processes Color Pyrus Fruit Bayes Theorem
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Exploring the impact of lenticels on the detection of soluble solids content in apples and pears using hyperspectral imaging and one-dimensional convolutional neural networks.

Food research international (Ottawa, Ont.) Feb 7, 2025
In this work, the effect of lenticels on the predictive performance of apple and pear soluble solids content (SSC) models developed based on hyperspectral imaging (HSI) at 380-1010 nm was investigated for the first time. Variations in the spectral pr...
Hyperspectral Imaging Calibration Fruit Pyrus Malus Principal Component Analysis Discriminant Analysis Least-Squares Analysis Algorithms Convolutional Neural Networks Neural Networks, Computer
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Nondestructive Detection of Corky Disease in Symptomless 'Akizuki' Pears via Raman Spectroscopy.

Sensors (Basel, Switzerland) Sep 29, 2024
'Akizuki' pear ( Nakai) corky disease is a physiological disease that strongly affects the fruit quality of 'Akizuki' pear and its economic value. In this study, Raman spectroscopy was employed to develop an early diagnosis model by integrating suppo...
Fruit Support Vector Machine Pyrus Plant Diseases Algorithms Neural Networks, Computer Spectrum Analysis, Raman
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Potential of hyperspectral imaging for nondestructive determination of α-farnesene and conjugated trienol content in 'Yali' pear.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 19, 2024
The sesquiterpene α-farnesene and its corresponding oxidation products, namely conjugated trienols (CTols) is well known to be correlated with the development of superficial scald, a typical physiological disorder after a long term of cold storage in...
Least-Squares Analysis Fruit Algorithms Calibration Support Vector Machine Sesquiterpenes Pyrus Hyperspectral Imaging
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Estimation of the amount of pear pollen based on flowering stage detection using deep learning.

Scientific reports Jun 7, 2024
Pear pollination is performed by artificial pollination because the pollination rate through insect pollination is not stable. Pollen must be collected to secure sufficient pollen for artificial pollination. However, recently, collecting sufficient a...
Deep Learning Pollination Pyrus Algorithms Pollen Flowers
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Combining transfer learning and hyperspectral imaging to identify bruises of pears across different bruise types.

Journal of food science Apr 1, 2024
Mechanical bruise is one of the most crucial factors affecting the quality of pears, which has a huge influence on postharvest transportation, storage, and sale of pears. To rapidly detect early bruises of pears across different bruise types, hypersp...
Contusions Hyperspectral Imaging Fruit Support Vector Machine Pyrus
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