Drones and 3D models unlock new genetic insights into wheat plant height
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Nov-2025 20:11 ET (30-Nov-2025 01:11 GMT/UTC)
A research team has developed a cost-effective method to measure wheat plant height in unprecedented detail using drone-based cross-circling oblique (CCO) imaging and 3D canopy modeling.
Bentham Science Publisher’s latest release Effective Engineering Management: Fostering Sustainability and Responsible Leadership is an authoritative reference designed to equip engineers, managers, and decision-makers with the strategies and tools needed to lead responsibly in today’s complex industrial landscape.
A real-time detection algorithm GBiDC-PEST for four tiny pests on mobile devices was developed. Model size was reduced by 80% while maintaining accuracy (>80%) in GBiDC-PEST. The GBiDC-PEST optimization algorithm and its mobile deployment offer a robust technical framework for the rapid, onsite identification and localization of tiny pests. This advancement provides valuable insights for effective pest monitoring, counting, and control in various agricultural settings