A research team developed two types of granular compound fertilizers, Hcf-P and Hcf-G, specifically designed suitable for unmanned air vehicle (UAV) spraying.
Tag: UAV
Scientists Are Using Drones to Find Missing WWII Servicemen
Binghamton University Anthropology Professor Carl Lipo and Associate Professor of Geography Thomas Pingel are using the same technology used to locate Maya ruins amid the jungles of Guatemala to recreate the scene of the 1944 Battle of Guam in intricate detail, potentially leading to the recovery of missing servicemen.
Machine learning helps determine health of soybean fields
Using a combination of drones and machine learning techniques, researchers from The Ohio State University have recently developed a novel method for determining crop health and used it to create a new tool that may aid future farmers.
Control System Helps Several Drones Team Up to Deliver Heavy Packages
A research team has developed a modular solution for drone delivery of larger packages without the need for a complex fleet of drones of varying sizes. By allowing teams of small drones to collaboratively lift objects using an adaptive control algorithm, the strategy could allow a wide range of packages to be delivered using a combination of several standard-sized vehicles.
Researchers use drones, machine learning to detect dangerous ‘butterfly’ landmines
Using advanced machine learning, drones could be used to detect dangerous “butterfly” landmines in remote regions of post-conflict countries, according to research from Binghamton University, State University at New York.
Applying Deep Learning to Automate UAV‐Based Detection of Scatterable Landmines
Recent advances in unmanned‐aerial‐vehicle‐ (UAV‐) based remote sensing utilizing lightweight multispectral and thermal infrared sensors allow for rapid wide‐area landmine contamination detection and mapping surveys. We present results of a study focused on developing and testing an automated technique of…