Fern leaf pockets hide secrets of plant-microbe symbiosis
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Updates every hour. Last Updated: 19-Aug-2025 14:10 ET (19-Aug-2025 18:10 GMT/UTC)
A new study introduces a machine learning tool that combines satellite imagery and weather data to monitor chickpea crop health. The system accurately estimates Leaf Area Index (LAI) and Leaf Water Potential (LWP) across commercial fields, helping farmers make smarter irrigation decisions and improve yields. This research marks the first large-scale application of such technology in chickpea farming.
A group of UBC Okanagan students has helped create technology that could improve how doctors and scientists detect everything from tumours to wildfires.
Working under the guidance of Associate Professor Xiaoping Shi from UBCO’s Department of Computer Science, Mathematics, Physics and Statistics, the students designed and tested a system called an adaptive multiple change point energy-based model segmentation (MEBS).