Pathogen infection has greatly reduced crop production. As the symptoms of diseases
usually appear when the plants are infected severely, rapid identification approaches are …

Over the past two decades, hyperspectral imaging has become popular for non-destructive
assessment of food quality, safety, and crop monitoring. Imaging delivers spatial information …

Preventing and controlling grape diseases is essential for a good grape harvest. With the
help of “single shot multibox detectors”,“faster region based convolutional neural networks” …

Powdery mildew severely affects wheat growth and yield; therefore, its effective monitoring is
essential for the prevention and control of the disease and global food security. In the …

Infection caused by Fusarium head blight (FHB) has severely damaged the quality and yield
of wheat in China and threatened the health of humans and livestock. Inaccurate disease …

Powdery mildew has a negative impact on wheat growth and restricts yield formation.
Therefore, accurate monitoring of the disease is of great significance for the prevention and …

Hyperspectral imaging data have been rarely focused on studies of mangrove pests and
diseases. With leaf hyperspectral imaging data, this study aims to extract the sensitive …

The quality of wheat kernels is critical to ensure crop yields. However, in actual breeding
work, unsound kernels are scarce compared to healthy kernels. Limited data sets or …

Detection of diseases in maize seeds is crucial for their quality evaluation and disease
control. This study uses hyperspectral imaging (HSI) and deep learning methods for analysis …

Identification of the Fusarium head blight (FHB) infection degree of wheat kernels is
important to customise the reasonable use of wheat kernels and ensure food safety. In this …