In livestock, veterinary drug residues are detected through non-destructive methods like hyperspectral imaging. One case in ...

California growers continue to face pressing issues, from persistent drought and limited labor to crop pest concerns. These startups were ... Spornado – Creators of an early-warning disease detection ...

Brain channels 'stopped in time' reveal chemical flow that enables learning and thinking. ScienceDaily . Retrieved May 29, 2025 from www.sciencedaily.com / releases / 2025 / 03 / 250328134900.htm ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

We then used machine learning algorithms trained on existing ... we designed inhibitors that specifically target and block the proteins these genes produce. By analyzing the structure of the ...

It’s not alone in using AI to help pest control. Pessl Instruments has developed iScout, a solar-powered insect trap and camera identification system, while FarmSense’s FlightSensor listens ...

The existing automatic pest detection methods based on a computer require a simple background environment of the pests and cannot locate pests. To solve these problems, based on the idea of deep ...

Currently, the studies on plant diseases and pest stresses mainly focus on a leaf ... In this work, a stress detection and segmentation method by fusing deep learning and image processing techniques ...

In underwater acoustics, deep learning may ... elements in the machine-learning process. Incorporating an ABNN system in sonar equipment for targeted ship detection, the researchers tested two ...

In this paper, we propose a novel deep learning-based FPGA function block detection method with three major steps. In specific, we first analyze the format of the bitstream to obtain the mapping ...