AIMC Topic: Cacao

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Integrated phenotypic analysis, predictive modeling, and identification of novel trait-associated loci in a diverse Theobroma cacao collection.

BMC plant biology Aug 9, 2025
BACKGROUND: Cacao (Theobroma cacao L.) breeding and improvement rely on understanding germplasm diversity and trait architecture. This study characterized a cacao collection (173 accessions) evaluated in Puerto Rico, examining phenotypic diversity, t...
Machine Learning Phenotype Quantitative Trait Loci Puerto Rico Plant Breeding Plant Diseases Cacao Polymorphism, Single Nucleotide
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Identifying Cocoa Flower Visitors: A Deep Learning Dataset.

Scientific data Jul 28, 2025
Cocoa is a multi-billion-dollar industry but research on improving yields through pollination remains limited. New embedded hardware and AI-based data analysis is advancing information on cocoa flower visitors, their identity and implications for yie...
Cacao Flowers Pollination Animals China Insecta Deep Learning
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Construction of an Automated Removal Robot for the Natural Drying of Cacao Beans.

Sensors (Basel, Switzerland) Feb 28, 2025
Cacao producers often obtain low-quality beans due to the poor manual drying process. This study proposes the construction of an automated prototype robot for the removal during natural drying of cacao beans at Cooperativa Agraria Allima Cacao Ltd., ...
Seeds Automation Cacao Desiccation Phenols Robotics
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Spatial Variability of Aroma Profiles of Cocoa Trees Obtained through Computer Vision and Machine Learning Modelling: A Cover Photography and High Spatial Remote Sensing Application.

Sensors (Basel, Switzerland) Jul 11, 2019
Cocoa is an important commodity crop, not only to produce chocolate, one of the most complex products from the sensory perspective, but one that commonly grows in developing countries close to the tropics. This paper presents novel techniques applied...
Volatile Organic Compounds Cacao Remote Sensing Technology Gas Chromatography-Mass Spectrometry Machine Learning Image Processing, Computer-Assisted Neural Networks, Computer
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Cocoa flavanol effects on markers of oxidative stress and recovery after muscle damage protocol in elite rugby players.

Nutrition (Burbank, Los Angeles County, Calif.) Nov 24, 2018
OBJECTIVES: Strenuous exercise can impair athletic performance due to muscular inflammation and oxidative stress. Antioxidants such as cocoa flavanols have been used as a supplement to prevent oxidative stress; however, the benefits of dietary antiox...
Athletes Adolescent Flavonols Oxidative Stress Cacao Football Double-Blind Method Muscle, Skeletal Athletic Performance Beverages Young Adult Humans Adult Biomarkers Male
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Cupuaçu extract reduces nitrosative stress and modulates inflammatory mediators in the kidneys of experimental diabetes.

Clinical nutrition (Edinburgh, Scotland) Dec 26, 2017
BACKGROUND & AIMS: We have previously reported an increased nitrosative stress in the kidneys of diabetic animals, which was reduced by an antioxidant probiotic. The present study evaluated whether the extract of cupuaçu (EC), an antioxidant compound...
Cacao Kidney Nitrosative Stress Plant Extracts Rats, Wistar Disease Models, Animal Animals Diabetes Mellitus, Experimental Male Rats Inflammation Mediators Inflammation
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Prediction of fermentation index of cocoa beans (Theobroma cacao L.) based on color measurement and artificial neural networks.

Talanta Aug 5, 2016
Several procedures are currently used to assess fermentation index (FI) of cocoa beans (Theobroma cacao L.) for quality control. However, all of them present several drawbacks. The aim of the present work was to develop and validate a simple image ba...
Fermentation Cacao Neural Networks, Computer Color Amino Acids
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Machine learning models for terroir classification and blend similarity prediction: A proof-of-concept to enhance cocoa quality evaluation.

Food chemistry Sep 15, 2025
Flavour is a key quality attribute of cocoa, essential for industry standards and consumer preferences. Automated methods for assessing flavour quality support industrial laboratories in achieving high sample throughput. Targeted and untargeted HS-SP...
Machine Learning Gas Chromatography-Mass Spectrometry Humans Cacao Taste Odorants Volatile Organic Compounds Flavoring Agents Quality Control
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Leveraging infrared spectroscopy for cocoa content prediction: A dual approach with Kohonen neural network and multivariate modeling.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 5, 2025
People of all ages enjoy chocolate, and its popularity is attributed to its pleasant taste and aroma, as well as its associated health benefits. Produced through both artisanal and industrial processes, which involve harvesting, selecting, fermenting...
Chocolate Principal Component Analysis Multivariate Analysis Cacao Neural Networks, Computer Spectroscopy, Near-Infrared
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Artificial neural network approach to modelling of metal contents in different types of chocolates.

Acta chimica Slovenica Jan 1, 2015
The relationships between the contents of various metals in different types of chocolates were studied using chemometric approach. Chemometric analysis was based on the application of artificial neural networks (ANN). ANN was performed in order to se...
Nickel Cacao Neural Networks, Computer Aluminum Models, Statistical Copper Lead
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