A collaborative team of researchers from the Donald Danforth Plant Science Center, the University of Florida, Gainesville and ...
Abstract: Smart farming leverages advanced technologies to enhance crop monitoring, disease detection, and precision agriculture, ensuring higher productivity and sustainability. Early identification ...
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 ...
1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...
BERKELEY, Calif. — A breakthrough technology turns smartphone cameras into powerful diagnostic tools, potentially revolutionizing how doctors detect diseases. Berkeley researchers developed a ...
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