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Food Handling

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Comprehensive study on applications of artificial neural network in food process modeling.

Critical reviews in food science and nutrition
Artificial neural network (ANN) is a simplified model of the biological nervous system consisting of nerve cells or neurons. The application of ANN to food process engineering is relatively novel. ANN had been employed in diverse applications like fo...

Formulation of a mixed fruit beverage using fuzzy logic optimization of sensory data and designing its batch thermal pasteurization process.

Journal of food science
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...

Machine learning and statistics to qualify environments through multi-traits in Coffea arabica.

PloS one
Several factors such as genotype, environment, and post-harvest processing can affect the responses of important traits in the coffee production chain. Determining the influence of these factors is of great relevance, as they can be indicators of the...

Machine learning-based modeling in food processing applications: State of the art.

Comprehensive reviews in food science and food safety
Food processing is a complex, multifaceted problem that requires substantial human interaction to optimize the various process parameters to minimize energy consumption and ensure better-quality products. The development of a machine learning (ML)-ba...

Toward in-process technology-aided automation for enhanced microbial food safety and quality assurance in milk and beverages processing.

Critical reviews in food science and nutrition
Ensuring the safety of food products is critical to food production and processing. In food processing and production, several standard guidelines are implemented to achieve acceptable food quality and safety. This notwithstanding, due to human limit...

Bioengineered Enzymes and Precision Fermentation in the Food Industry.

International journal of molecular sciences
Enzymes have been used in the food processing industry for many years. However, the use of native enzymes is not conducive to high activity, efficiency, range of substrates, and adaptability to harsh food processing conditions. The advent of enzyme e...

Elucidation of the mechanism by which the internal structure of food controls the quality.

Bioscience, biotechnology, and biochemistry
Several of the existing food manufacturing processes are based on empirical knowledge, and not many are rationally designed and operated based on a sufficient understanding of the underlying phenomena. Drying and rehydration processes are one such ex...

A comprehensive review of machine learning and its application to dairy products.

Critical reviews in food science and nutrition
Machine learning (ML) technology is a powerful tool in food science and engineering offering numerous advantages, from recognizing patterns and predicting outcomes to customizing and adjusting to individual needs. Its further development can enable r...

Modelling tomato pericarp microstructure as force control reference for harvesting robot.

Journal of the science of food and agriculture
BACKGROUND: The harvest of fruit can be significantly advanced with the thriving development of intelligent and automated robot technologies. Nevertheless, the picking success rate of tomato fruit still requires improvement as some fruits are unexpec...

Recent advances in artificial intelligence towards the sustainable future of agri-food industry.

Food chemistry
Artificial intelligence has the potential to alter the agricultural and food processing industries, with significant ramifications for sustainability and global food security. The integration of artificial intelligence in agriculture has witnessed a ...