AIMC Topic: 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...
Neural Networks, Computer Agriculture Crops, Agricultural Arachis Food Quality Food Contamination Food Analysis Oryza
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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...
Arachis Deep Learning Models, Biological Convolutional Neural Networks Plant Diseases Image Processing, Computer-Assisted Plant Leaves
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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 ...
Plant Diseases Arachis Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Plant Leaves
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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 Adsorption Neural Networks, Computer Artificial Intelligence Fluorocarbons Arachis Thermodynamics Charcoal Kinetics Caprylates
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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...
Neural Networks, Computer Support Vector Machine Coloring Agents Aflatoxin B1 Arachis
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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.
Photography Mobile Applications Nuts Arachis Image Processing, Computer-Assisted Smartphone Humans Neural Networks, Computer Artificial Intelligence Diet Deep Learning
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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...
Humans Jaw Arachis Robotics Deglutition Food Mastication
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A novel method for peanut variety identification and classification by Improved VGG16.

Scientific reports Aug 3, 2021
Crop variety identification is an essential link in seed detection, phenotype collection and scientific breeding. This paper takes peanut as an example to explore a new method for crop variety identification. Peanut is a crucial oil crop and cash cro...
Algorithms Phenotype Deep Learning Image Processing, Computer-Assisted Arachis Neural Networks, Computer
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Etching reaction-based photoelectrochemical immunoassay of aflatoxin B in foodstuff using cobalt oxyhydroxide nanosheets-coating cadmium sulfide nanoparticles as the signal tags.

Analytica chimica acta Dec 7, 2018
A new split-type photoelectrochemical (PEC) immunosensing platform was designed for sensitive detection of aflatoxin B (AFB) in foodstuffs, coupling with enzymatic hydrolysate-triggered etching reaction of cobalt oxyhydroxide (CoOOH) on cadmium sulfi...
Arachis Photochemical Processes Food Analysis Electrochemistry Immunoassay Models, Molecular Cobalt Nanoparticles Aflatoxin B1 Cadmium Compounds Oxides Food Contamination Sulfides Feasibility Studies Molecular Conformation
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A novel nanobody and mimotope based immunoassay for rapid analysis of aflatoxin B1.

Talanta Nov 6, 2018
Mimotopes could replace mycotoxins and their conjugates to develop immunoassay methods. The mimotopes obtained by phage display technology were mainly using monoclonal antibodies or polyclonal antibodies as targets. However, the mimotope of recombina...
Biotinylation Single-Domain Antibodies Aflatoxin B1 Arachis Peptide Library Zea mays Oryza Animal Feed Enzyme-Linked Immunosorbent Assay Food Contamination Plant Oils
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