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 …

Efficiently analyzing the relationship between plant phenotypes, quality, and resistance
remains challenging. In this study, deep learning models based on hyperspectral data and …

The increasing concern over pesticide residues on Hami melon is due to the unregulated
use of pesticides, which poses a potential food safety hazard. Thus, it is urgent to propose a …

The spectral reflectance signature of the plants contains rich information about their
biophysical, physiological and chemical characteristics. Learning the patterns directly from …

Aiming at the rapid identification of seed viability of Sophora japonica, different aging grades
and imbibition states were proposed as the research focus. The hyperspectral data of the …

Botrytis cinerea is a strawberry disease that causes economic loss worldwide. If a disease
outbreak occurs during storage or transportation, it can spread rapidly to neighboring …

Maize is an important food crop in the world and it is used in many fields. The classification
of maize seed maturity is of great value because it could increase the yield. In this study …

Late blight caused by Phytophthora infestans is a destructive disease in potato production,
which can lead to crop failure in severe cases. This study combined visible/near-infrared …

A smartphone colorimetric sensor based on the Pt@ Au nanozyme was successfully
developed for the visual and quantitative detection of omethoate in fruit and vegetables. The …

Premature ventricular contractions (PVCs), common in the general and patient population,
are irregular heartbeats that indicate potential heart diseases. Clinically, long-term …