AIMC Topic: Cocos

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Activated biochar production from young coconut waste (Cocos nucifera) as bioadsorbent: a pathway through Artificial Neural Network (ANN) optimization.

Environmental monitoring and assessment Sep 20, 2024
This pioneering work explores the immense potential of young coconut waste, a continuously marginalized residue of the food and beverage industry, to serve as an indispensable feedstock in the production of biochar. Through an examination of the key ...
Neural Networks, Computer Adsorption Charcoal Cocos
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ATR-FTIR spectroscopy and machine/deep learning models for detecting adulteration in coconut water with sugars, sugar alcohols, and artificial sweeteners.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 3, 2024
Packaged coconut water offers various options, from pure to those with added sugars and other additives. While the purity of coconut water is esteemed for its health benefits, its popularity also exposes it to potential adulteration and misrepresenta...
Machine Learning Deep Learning Water Spectroscopy, Fourier Transform Infrared Food Contamination Principal Component Analysis Sugars Sweetening Agents Cocos Sugar Alcohols
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Development of automatic tuning for combined preprocessing and hyperparameters of machine learning and its application to NIR spectral data of coconut milk adulteration.

Food chemistry Jun 15, 2024
This study proposed a novel approach to automatically select the preprocessing methods and hyperparameters of machine learning (ML) algorithms based on their best performance in cross-validation for near-infrared (NIR) spectroscopy data. The proposed...
Machine Learning Algorithms Spectroscopy, Near-Infrared Food Contamination Least-Squares Analysis Discriminant Analysis Cocos
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Exploring Deep Learning to Predict Coconut Milk Adulteration Using FT-NIR and Micro-NIR Spectroscopy.

Sensors (Basel, Switzerland) Apr 8, 2024
Accurately identifying adulterants in agriculture and food products is associated with preventing food safety and commercial fraud activities. However, a rapid, accurate, and robust prediction model for adulteration detection is hard to achieve in pr...
Animals Spectroscopy, Near-Infrared Deep Learning Starch Milk Cocos
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Formulation of a mixed fruit beverage using fuzzy logic optimization of sensory data and designing its batch thermal pasteurization process.

Journal of food science Jan 12, 2021
The study aims to formulate a mixed fruit beverage through sensory analysis, and the composition was optimized using a fuzzy logic algorithm. The fuzzy optimization algorithm was developed using a modified Takagi and Sugeno's approach, polynomial mix...
Antioxidants Fuzzy Logic Ascorbic Acid Ananas Fruit Fruit and Vegetable Juices Food Handling Hot Temperature Cocos Pasteurization Phyllanthus emblica
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