Crop monitoring system utilizing IoT, AI and other tech showcased at ASABE
Reports and Proceedings
Updates every hour. Last Updated: 20-Aug-2025 14:10 ET (20-Aug-2025 18:10 GMT/UTC)
When given nutritionally matched diets, participants lost twice as much weight eating minimally processed foods compared to ultra-processed foods, suggesting that cutting down on processing could help to sustain a healthy weight long term, finds a new clinical trial led by researchers at UCL and UCLH.
A team from the Hebrew University of Jerusalem has developed a low-cost, non-invasive method to estimate total leaf area in dwarf tomato plants using 3D reconstruction from standard video footage. The study applies structure-from-motion techniques and machine learning to predict plant growth with remarkable accuracy. This innovative approach eliminates the need for expensive sensors or destructive sampling, making precision agriculture more accessible. The method holds promise for scaling crop monitoring across greenhouses and open fields alike.