Agricultural research is essential for increasing food production to meet the needs of a
rapidly growing human population. Collecting large quantities of agricultural data helps to …

Neural network models play an important role in crop extraction based on remote sensing
data. However, when dealing with high-dimensional remote sensing data, these models are …

Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado),
mainly in the transition between Cerrado and the Amazon Forest, to increase productivity …

Face mask detection has become a great challenge in computer vision, demanding the
coalition of technology with COVID-19 awareness. Researchers have proposed deep …

Deep learning proves its promising results in various domains. The automatic identification
of plant diseases with deep convolutional neural networks attracts a lot of attention at …

In the field of histopathology, the microtomy procedure yields thin sections of tissue
embedded in paraffin blocks, then to be further processed for diagnostic purposes. Within …

As a traditional edible and medicinal fungus in China, Oudemansiella raphanipes has high
economic benefits. In order to achieve the automatic classification of Oudemansiella …

Timely and accurate acquisition of winter wheat planting areas is crucial for food security. In
this study, Sentinel-1 and Sentinel-2 time-series data are integrated at the feature level to …

Automatic crop classification using new technologies is recognized as one of the most
important assets in today's smart farming improvement. Investments in technology and …

To match the ever increasing nutrition needs of growing population and dwindling
agricultural labour force, agriculture sector has been progressively adapting farming …