AIMC Topic: Citrus

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Multiclass semantic segmentation for prime disease detection with severity level identification in Citrus plant leaves.

Scientific reports Jul 1, 2025
Agriculture provides the basics for producing food, driving economic growth, and maintaining environmental sustainability. On the other hand, plant diseases have the potential to reduce crop productivity and raise expenses, posing a risk to food secu...
Algorithms Deep Learning Plant Diseases Image Processing, Computer-Assisted Plant Leaves Semantics Citrus
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Classifying Storage Temperature for Mandarin ( L.) Using Bioimpedance and Diameter Measurements with Machine Learning.

Sensors (Basel, Switzerland) Apr 21, 2025
Mandarin ( L.) is consumed worldwide. Improper storage temperatures cause flavor loss and shorten shelf lives, reducing marketability. Mandarins' quality is difficult to assess visually, as they show no apparent changes during storage. Therefore, a s...
Machine Learning Temperature Electric Impedance Citrus Food Storage
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Integrating advanced deep learning techniques for enhanced detection and classification of citrus leaf and fruit diseases.

Scientific reports Apr 12, 2025
In this study, we evaluate the performance of four deep learning models, EfficientNetB0, ResNet50, DenseNet121, and InceptionV3, for the classification of citrus diseases from images. Extensive experiments were conducted on a dataset of 759 images di...
Agriculture Image Enhancement Plant Leaves Citrus Fruit Deep Learning Plant Diseases Convolutional Neural Networks
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Simultaneous detection of citrus internal quality attributes using near-infrared spectroscopy and hyperspectral imaging with multi-task deep learning and instrumental transfer learning.

Food chemistry Mar 22, 2025
Simultaneous determination of multiple quality attributes of citrus fruits using hyperspectral imaging (HSI) and near-infrared (NIR) spectroscopy and successfully transferring the models among different instruments are two main challenges. In this st...
Fruit Quality Control Spectroscopy, Near-Infrared Deep Learning Hyperspectral Imaging Citrus Neural Networks, Computer
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Modelling of pome fruit pollen performance using machine learning.

Scientific reports Feb 26, 2025
Agriculture, particularly fruit production, is considered a crucial industry with a significant economic impact in many countries. Extreme fluctuations in air temperature can negatively affect the flowering periods of fruit species. Therefore, it is ...
Pollen Tube Temperature Germination Citrus Pollen Fruit Neural Networks, Computer Machine Learning
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A holistic strategy for the in-depth discrimination and authentication of 16 citrus herbs and associated commercial products based on machine learning techniques and non-targeted metabolomics.

Journal of chromatography. A Feb 1, 2025
Citrus-derived raw medicinal materials are frequently used for health care, flavoring, and therapeutic purposes. However, Due to similarities in origin or appearance, citrus herbs are often misused in the market, necessitating effective differentiati...
Least-Squares Analysis Discriminant Analysis Citrus Metabolomics Drugs, Chinese Herbal Machine Learning
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Differentiation of Citri Reticulatae Pericarpium varieties via HPLC fingerprinting of polysaccharides combined with machine learning.

Food chemistry Jan 27, 2025
To accurately and reliably distinguish different varieties of Citri Reticulatae Pericarpium (CRP), we propose a novel classification strategy combining polysaccharide fingerprinting and machine learning (ML). First, extraction conditions are optimize...
Plant Extracts Polysaccharides Chromatography, High Pressure Liquid Machine Learning Citrus
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Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic.

PloS one Jan 22, 2025
Citrus farming is one of the major agricultural sectors of Pakistan and currently represents almost 30% of total fruit production, with its highest concentration in Punjab. Although economically important, citrus crops like sweet orange, grapefruit, ...
Deep Learning Plant Leaves Pakistan Fruit Plant Diseases Citrus
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Machine learning driven benchtop Vis/NIR spectroscopy for online detection of hybrid citrus quality.

Food research international (Ottawa, Ont.) Jan 2, 2025
The aim of this study was to explore application of visible and near-infrared (Vis/NIR) spectroscopy combined with machine learning models for SSC and TA prediction of hybrid citrus. The Vis/NIR spectra of samples including navel-region, equator-regi...
Least-Squares Analysis Neural Networks, Computer Spectroscopy, Near-Infrared Citrus Machine Learning Support Vector Machine
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A rapid, non-destructive, and accurate method for identifying citrus granulation using Raman spectroscopy and machine learning.

Journal of food science Dec 10, 2024
Citrus fruits are widely consumed for their nutritional value and taste; however, juice sac granulation during fruit storage poses a significant challenge to the citrus industry. This study used Raman spectroscopy coupled with machine learning algori...
Citrus Least-Squares Analysis Fruit Spectrum Analysis, Raman Discriminant Analysis Machine Learning Fruit and Vegetable Juices Principal Component Analysis Algorithms
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