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 …

Nondestructive identification of pesticide residues remains a challenge in terms of fruit safety
assessment. In this study, a novel method based on visible/near‐infrared (Vis/NIR) …

Pesticide residues directly or indirectly threaten the health of humans and animals. We need
a rapid and nondestructive method for the safety evaluation of fruits. In this study, the …

This study introduces a novel deep transfer learning (DTL) approach based on convolutional
neural networks (CNN) and Fourier transform near-infrared (FT-NIR) spectroscopy to …

The contamination of agricultural products, such as vegetables, by pesticide residues has
received considerable attention worldwide. Pesticide residue on vegetables constitutes a …

In this study, the possibility of non-destructive detection of tomato pesticide residues was
investigated using Vis/NIRS and prediction models such as PLSR and ANN. First, Vis/NIR …

This study introduces a fast analytical approach for detecting chlorpyrifos residues in corn
oil, based on a one-dimensional convolutional neural network (1D-CNN) structure for near …

The feasibility of using visible/near-infrared (Vis/NIR) spectroscopy was assessed for non-
destructive detection of diazinon residues in intact cucumbers. Vis/NIR spectra of diazinon …

Rapid and accurate detection of pesticide residue levels can help to prevent the harm of
pesticide residue. This study used visible/near-infrared (Vis-NIR)(376–1044 nm) and near …

The problem of pyrethroid residues has become a topical issue, posing a potential food
safety concern. Pyrethroid pesticides are widely used to prevent and combat pests in Hami …