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 ...

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 ...

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 ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...