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

Showing 31 to 40 of 48 articles

A non-destructive methodology for determination of cantaloupe sugar content using machine vision and deep learning.

Journal of the science of food and agriculture Jun 10, 2022
BACKGROUND: To determine the maturity of cantaloupe, measuring the soluble solid content (SSC) as the indicator of sugar content based on the refractometric index is commonly practised. This method, however, is destructive and limited to a small numb...
Deep Learning Sugars Cucumis melo Neural Networks, Computer Machine Learning
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Verified the rapid evaluation of the edible safety of wild porcini mushrooms, using deep learning and PLS-DA.

Journal of the science of food and agriculture Aug 26, 2021
BACKGROUND: How to quickly identify poisonous mushrooms is a worldwide problem, because poisonous mushrooms and edible mushrooms have very similar appearances. Even some edible mushrooms must be processed further before they can be eaten. In addition...
Discriminant Analysis Deep Learning Agaricales China Least-Squares Analysis
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Evaluation of multilayer perceptron neural networks and adaptive neuro-fuzzy inference systems for the mass transfer modeling of Echium amoenum Fisch. & C. A. Mey.

Journal of the science of food and agriculture Jun 4, 2021
BACKGROUND: Multilayer perceptron (MLP) feed-forward artificial neural networks (ANN) and first-order Takagi-Sugeno-type adaptive neuro-fuzzy inference systems (ANFIS) are utilized to model the fluidized bed-drying process of Echium amoenum Fisch. & ...
Food Preservation Desiccation Echium Water Fuzzy Logic Neural Networks, Computer Temperature
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Prediction of specialty coffee flavors based on near-infrared spectra using machine- and deep-learning methods.

Journal of the science of food and agriculture Feb 18, 2021
BACKGROUND: Specialty coffee fascinates people with its bountiful flavors. Currently, flavor descriptions of specialty coffee beans are only offered by certified coffee cuppers. However, such professionals are rare, and the market demand is tremendou...
Humans Neural Networks, Computer Taste Coffee Flavoring Agents Spectroscopy, Near-Infrared Deep Learning
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Integrated analysis of machine learning and deep learning in chili pest and disease identification.

Journal of the science of food and agriculture Dec 24, 2020
BACKGROUND: Chili is one of the most important and high-value vegetable crops worldwide. However, pest and disease infections are among the main limiting factors in chili cultivation. These diseases cannot be eradicated but can be handled and monitor...
Capsicum Insecta Plant Diseases Machine Learning Animals Support Vector Machine Deep Learning Plant Leaves
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Non-destructive detection of blueberry skin pigments and intrinsic fruit qualities based on deep learning.

Journal of the science of food and agriculture Dec 11, 2020
BACKGROUND: This paper proposes a novel method to improve accuracy and efficiency in detecting the quality of blueberry fruit, taking advantage of deep learning in classification tasks. We first collected 'Tifblue' blueberries at seven different stag...
Pigments, Biological Blueberry Plants Food Analysis Anthocyanins Fruit Chlorophyll Deep Learning
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Non-invasive setup for grape maturation classification using deep learning.

Journal of the science of food and agriculture Oct 2, 2020
BACKGROUND: The San Francisco Valley region from Brazil is known worldwide for its fruit production and exportation, especially grapes and wines. The grapes have high quality not only due to the excellent morphological characteristics, but also to th...
Humans Brazil Deep Learning Fruit Taste Wine Vitis
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Yield prediction with machine learning algorithms and satellite images.

Journal of the science of food and agriculture Aug 24, 2020
BACKGROUND: Barley is one of the strategic agricultural products available in the world, and yield prediction is important for ensuring food security. One way of estimating a product is to use remote sensing data in conjunction with field data and me...
Hordeum Remote Sensing Technology Seasons Algorithms Agriculture Machine Learning
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Morphological traits of drought tolerant horse gram germplasm: classification through machine learning.

Journal of the science of food and agriculture Jul 3, 2020
BACKGROUND: Horse gram (Macrotyloma uniflorum (Lam.) Verdc.) is an underutilized pulse crop with good drought resistance traits. It is a rich source of protein. Conventional breeding methods for high yielding and abiotic stress tolerant germplasm are...
Fabaceae Machine Learning Stress, Physiological Algorithms Plant Breeding Quantitative Trait Loci Genotype Phenotype Droughts Seeds
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Detection of rice plant diseases based on deep transfer learning.

Journal of the science of food and agriculture Mar 14, 2020
BACKGROUND: As the primary food for nearly half of the world's population, rice is cultivated almost all over the world, especially in Asian countries. However, the farmers and planting experts have been facing many persistent agricultural challenges...
Plant Diseases Image Processing, Computer-Assisted Oryza Neural Networks, Computer Deep Learning
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