Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

When Valeria Kogan started her PhD program in bioinformatics, the scientific field that uses computation and software to analyze biological data, in 2017, she imagined her career would always be ...

A research team developed the Point-Line Net, a deep learning method based on the Mask R-CNN framework, to automatically recognize maize field images and determine the number and growth trajectory of ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...