AI Medical Compendium Journal:
Journal of the science of food and agriculture

Showing 21 to 30 of 48 articles

Prediction and visualization of moisture content in Tencha drying processes by computer vision and deep learning.

Journal of the science of food and agriculture Feb 27, 2024
BACKGROUND: It is important to monitor and control the moisture content throughout the Tencha drying processing procedure so that its quality is ensured. Workers often rely on their senses to perceive the moisture content, leading to relative subject...
Water Image Processing, Computer-Assisted Desiccation Neural Networks, Computer Deep Learning
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Artificial intelligence-based prediction of the rheological properties of hydrocolloids for plant-based meat analogues.

Journal of the science of food and agriculture Feb 8, 2024
BACKGROUND: Methylcellulose has been applied as a primary binding agent to control the quality attributes of plant-based meat analogues. H owever, a great deal of effort has been made to search for hydrocolloids to replace methylcellulose because of ...
Algorithms Meat Products Artificial Intelligence Machine Learning Colloids Rheology Meat Substitutes Viscosity
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Detection of paralytic shellfish toxins by near-infrared spectroscopy based on a near-Bayesian SVM classifier with unequal misclassification costs.

Journal of the science of food and agriculture Nov 30, 2023
BACKGROUND: Paralytic shellfish poisoning caused by human consumption of shellfish fed on toxic algae is a public health hazard. It is essential to implement shellfish monitoring programs to minimize the possibility of shellfish contaminated by paral...
Humans Animals Bayes Theorem Bivalvia Spectroscopy, Near-Infrared Support Vector Machine Shellfish
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Classification of oolong tea varieties based on computer vision and convolutional neural networks.

Journal of the science of food and agriculture Oct 30, 2023
BACKGROUND: In the contemporary food industry, accurate and rapid differentiation of oolong tea varieties holds paramount importance for traceability and quality control. However, achieving this remains a formidable challenge. This study addresses th...
Tea Neural Networks, Computer Machine Learning Algorithms Support Vector Machine
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Convolutional neural network allows amylose content prediction in yam (Dioscorea alata L.) flour using near infrared spectroscopy.

Journal of the science of food and agriculture Jul 31, 2023
BACKGROUND: Yam (Dioscorea alata L.) is the staple food of many populations in the intertropical zone, where it is grown. The lack of phenotyping methods for tuber quality has hindered the adoption of new genotypes from breeding programs. Recently, n...
Plant Tubers Dioscorea Amylose Neural Networks, Computer Spectroscopy, Near-Infrared Flour
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Stable isotope and trace element analyses with non-linear machine-learning data analysis improved coffee origin classification and marker selection.

Journal of the science of food and agriculture Mar 25, 2023
BACKGROUND: This study investigated the geographical origin classification of green coffee beans from continental to country and regional levels. An innovative approach combined stable isotope and trace element analyses with non-linear machine learni...
Machine Learning Coffee Nonlinear Dynamics Trace Elements Isotopes
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Application of fuzzy algorithms in conjunction with H-NMR spectroscopy to differentiate alcoholic beverages.

Journal of the science of food and agriculture Jan 4, 2023
BACKGROUND: Recent statistics from the European Commission indicate that wine is one of the commodities most commonly subject to food fraud. In this context, the development of reliable classification models to differentiate alcoholic beverages requi...
Wine Alcoholic Beverages Magnetic Resonance Spectroscopy Artificial Intelligence
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Deep-learning-based automatic evaluation of rice seed germination rate.

Journal of the science of food and agriculture Nov 24, 2022
BACKGROUND: Rice is an important food crop plant in the world and is also a model plant for genetics and breeding research. The germination rate is an important indicator that measures the performance of rice seeds. Currently, solutions involving ima...
Seeds Humans Germination Deep Learning Plant Breeding Oryza
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Diagnosis of Alternaria disease and leafminer pest on tomato leaves using image processing techniques.

Journal of the science of food and agriculture Jun 25, 2022
BACKGROUND: Diseases such as Alternaria and pests such as leafminer threaten tomato as one of the most widely used agricultural products. These pests and diseases first damage the leaves of tomatoes, then the flowers, and finally the fruit. Therefore...
Solanum lycopersicum Fuzzy Logic Alternaria Plant Leaves Neural Networks, Computer
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High-speed identification system for fresh tea leaves based on phenotypic characteristics utilizing an improved genetic algorithm.

Journal of the science of food and agriculture Jun 17, 2022
BACKGROUND: High-quality tea requires leaves of similar size and tenderness. The grade of the fresh leaves determines the quality of the tea. The automated classification of fresh tea leaves improves resource utilization and reduces manual picking co...
Tea Bayes Theorem Plant Leaves Algorithms Support Vector Machine
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