AIMC Topic: Arachis

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Artificial intelligence-enabled microsphere imaging immunosensor based on magnetic metal-organic frameworks-assisted sample pretreatment for detecting aflatoxin B in peanuts.

Journal of hazardous materials Apr 25, 2025
Sensitive and rapid detection of aflatoxin B (AFB) is vital for safeguarding food safety, considering its potent carcinogenic toxicity. Herein, an artificial intelligence-enabled microsphere imaging (AI-MI) immunosensor based on magnetic metal-organi...
Aflatoxin B1 Arachis Horseradish Peroxidase Polystyrenes Microspheres Food Contamination Metal-Organic Frameworks Polymers Indoles Immunoassay Artificial Intelligence Animals Biosensing Techniques
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Aflatoxin detection in naturally contaminated peanuts based on vision transformer and multi-scale convolutional fusion.

Food chemistry Apr 9, 2025
Aflatoxin is a highly toxic substance found in peanuts, posing a serious threat to human health. To address this issue, an improved 1D-MCFViT model combining the Vision Transformer with multi-scale convolutional fusion is proposed to detect aflatoxin...
Food Contamination Arachis Aflatoxins Machine Learning Deep Learning
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Enhancing the application of near-infrared spectroscopy in grain mycotoxin detection: An exploration of a transfer learning approach across contaminants and grains.

Food chemistry Mar 17, 2025
Cereals are a primary source of sustenance for humanity. Monitoring, controlling, and preventing mycotoxins in cereals are vital for ensuring the safety of the cereals and their derived products. This study introduces transfer learning strategies int...
Food Contamination Triticum Edible Grain Spectroscopy, Near-Infrared Mycotoxins Arachis
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Origin traceability of agricultural products: A lightweight collaborative neural network for spectral information processing.

Food research international (Ottawa, Ont.) Mar 6, 2025
The natural conditions of various regions, including climate, soil, and water quality, significantly influence the nutrient composition and quality of agricultural products. Identifying the origin of agricultural products can prevent adulteration, im...
Oryza Crops, Agricultural Arachis Food Contamination Food Analysis Food Quality Neural Networks, Computer Agriculture
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HCAR-AM ground nut leaf net: Hybrid convolution-based adaptive ResNet with attention mechanism for detecting ground nut leaf diseases with adaptive segmentation.

Network (Bristol, England) Nov 17, 2024
Estimating the optimal answer is expensive for huge data resources that decrease the functionality of the system. To solve these issues, the latest groundnut leaf disorder identification model by deep learning techniques is implemented. The images ar...
Models, Biological Plant Diseases Arachis Convolutional Neural Networks Image Processing, Computer-Assisted Plant Leaves Deep Learning
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Optimized Wasserstein Deep Convolutional Generative Adversarial Network fostered Groundnut Leaf Disease Identification System.

Network (Bristol, England) Jul 2, 2024
Groundnut is a noteworthy oilseed crop. Attacks by leaf diseases are one of the most important reasons causing low yield and loss of groundnut plant growth, which will directly diminish the yield and quality. Therefore, an Optimized Wasserstein Deep ...
Arachis Algorithms Deep Learning Plant Leaves Plant Diseases Image Processing, Computer-Assisted Neural Networks, Computer
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Adsorptive removal of perfluorooctanoic acid from aqueous matrices using peanut husk-derived magnetic biochar: Statistical and artificial intelligence approaches, kinetics, isotherm, and thermodynamics.

Chemosphere May 21, 2024
Removal of perfluorooctanoic acid (PFOA) from water matrices is crucial owing to its pervasiveness and adverse ecological and human health effects. This study investigates the adsorptive removal of PFOA using magnetic biochar (MBC) derived from FeCl-...
Water Purification Water Pollutants, Chemical Charcoal Kinetics Adsorption Neural Networks, Computer Artificial Intelligence Arachis Thermodynamics Caprylates Fluorocarbons
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Parameter Optimization of Support Vector Machine to Improve the Predictive Performance for Determination of Aflatoxin B in Peanuts by Olfactory Visualization Technique.

Molecules (Basel, Switzerland) Oct 9, 2022
This study proposes a novel method for detection of aflatoxin B (AFB) in peanuts using olfactory visualization technique. First, 12 kinds of chemical dyes were selected to prepare a colorimetric sensor to assemble olfactory visualization system, whic...
Arachis Coloring Agents Aflatoxin B1 Neural Networks, Computer Support Vector Machine
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We got nuts! use deep neural networks to classify images of common edible nuts.

Nutrition and health Jul 21, 2022
BACKGROUND: Nuts are nutrient-dense foods that contribute to healthier eating. Food image datasets enable artificial intelligence (AI) powered diet-tracking apps to help people monitor daily eating patterns.
Neural Networks, Computer Humans Artificial Intelligence Photography Nuts Image Processing, Computer-Assisted Diet Arachis Smartphone Deep Learning Mobile Applications
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Development and validation of a chewing robot for mimicking human food oral processing and producing food bolus.

Journal of texture studies Jun 14, 2022
More and more studies have being done on the deformation process of food and the formation of food bolus during chewing. However, it is hard to observe the food oral processing (FOP) of subjects and obtain related data directly. A bionic chewing robo...
Mastication Jaw Food Humans Arachis Robotics Deglutition
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