Evaluation of convolutional neural network for non-destructive detection of imidacloprid and acetamiprid residues in chili pepper (Capsicum frutescens L.) based on …
P Ong, CW Yeh, IL Tsai, WJ Lee, YJ Wang… - … Acta Part A: Molecular …, 2023 - Elsevier
Consumption of agricultural products with pesticide residue is risky and can negatively affect
health. This study proposed a nondestructive method of detecting pesticide residues in chili …
health. This study proposed a nondestructive method of detecting pesticide residues in chili …
Portable optical spectroscopy and machine learning techniques for quantification of the biochemical content of raw food materials
C Ricci, A Gadaleta, A Gerardino, A Didonna… - CABI Agriculture and …, 2024 - Springer
Background Accuracy in determining food authenticity, possible contamination, content
analysis, and even geographical origin is of considerable scientific and economic value. The …
analysis, and even geographical origin is of considerable scientific and economic value. The …
Rapid detection of imperfect maize kernels based on spectral and image features fusion
K Song, Y Zhang, T Shi, D Yang - Journal of Food Measurement and …, 2024 - Springer
In order to quickly and non-destructively detect imperfect maize kernels, and to effectively
enhance the efficiency of maize quality detection during collection and storage, identification …
enhance the efficiency of maize quality detection during collection and storage, identification …
[HTML][HTML] Application of near-infrared spectroscopy for fast germplasm analysis and classification in multi-environment using intact-seed peanut (Arachis hypogaea L.)
FC Kassie, G Chaix, HB Ngalle, M Seye, C Fall… - Oil Crop Science, 2024 - Elsevier
Peanut is a worldwide oilseed crop and the need to assess germplasm in a non-destructive
manner is important for seed nutritional breeding. In this study, Near Infrared Spectroscopy …
manner is important for seed nutritional breeding. In this study, Near Infrared Spectroscopy …
NIR-VGGNet19: A Novel Deep Convolutional Neural Network for Pinus NIR Spectra Classification
Z Wan, H Yang, M Gao, J Xu, H Mu, D Qi, S Han - IEEE Access, 2023 - ieeexplore.ieee.org
Wood is an indispensable non-renewable resource and plays an important role in our life.
So, it is a necessity to apply accurate classification techniques. In this paper, a novel model …
So, it is a necessity to apply accurate classification techniques. In this paper, a novel model …
[PDF][PDF] Development of Near-Infrared Models for Predicting Crude Fat and Moisture Content in Arachis Hypogaea Using PLSR Algorithm
M Aminua, HK Shuaibua, MM Ibrahimb, M Aminub… - arcnjournals.org
Groundnut is an economically important oil seed crop, and determining crude fat and
moisture content is vital for assessing quality. However, standard laboratory methods for …
moisture content is vital for assessing quality. However, standard laboratory methods for …