Accurate detection of crop diseases from unmanned aerial vehicle (UAV) imagery is critical for precision agriculture. This task remains challenging due to the complex backgrounds, variable scales of ...

1 College of Information and Technology, Jilin Agricultural University, Changchun, China 2 College of Horticulture, Jilin Agricultural University, Changchun, China In order to overcome the key ...

Abstract: Current crop disease VQA models primarily focus on object counting and detection. However, accurately identifying various disease stages and determining control measures re quire additional ...

The Apple Watch is on the wrist of millions of users across the world. Over the years, Apple has developed algorithms that collect data from the integrated PPG sensor to sense irregular heart rhythms ...

Plant disease recognition technologies have advanced rapidly thanks to deep learning and large annotated datasets, but agricultural applications face unique hurdles. Data collection in the field is ...

Abstract: The economic growth of the country largely hinge on the crop production quality and quantity. The production rate can be improved by disease detection in well-time. Many image processing ...