This review discusses advancements in using unmanned aerial vehicles (UAVs) for methane emission monitoring in landfills.
Researchers developed a framework for autonomous drones to efficiently explore multi-room environments by prioritizing areas of interest and using inter-robot communication. The approach significantly enhanced exploration efficiency, with potential applications in search and rescue, infrastructure inspection, and environmental monitoring.
According to a study published in the journal Aerospace Science and Technology, UPV/EHU researcher Julián Estévez has created a low-cost, autonomous navigation system that avoids drone collisions between two or more whose routes intersect in midair.
Researchers in the journal Electronics propose using smartphones as mobile assistance devices for UAVs, optimizing task execution through a multi-objective mutation-immune bat (MOMIB) algorithm.
Researchers from Delft University of Technology were inspired by biological discoveries on how ants use their vision and step counting to navigate safely back home.
In a study published in Swarm Intelligence, researchers from Eötvös Loránd University (ELTE), Budapest, Hungary, have also shown how to create the first large-scale autonomous drone traffic solution, after the creation of the world's first self-organizing drone flock.
Researchers from the University of Hawaii developed a novel tool to help in the restoration and resilience-building of Native Hawaiian fishponds and fishpond stewards in Hilo, Hawaii, highlighted the use of Unmanned Aerial Vehicles (UAVs) to promote integrated coastal zone management, especially at cultural heritage sites. The work was published in the Journal of Remote Sensing.
Researchers in Italy have announced the first effective use of commercial drones and artificial intelligence (AI) to monitor the invasive agricultural pest, Halyomorpha halys, also known as the brown marmorated stink bug.
A recent Agronomy article highlights the transformative potential of AI, sensors, and robotics in agriculture, focusing on their roles in enhancing efficiency, productivity, and sustainability. While these technologies promise significant advancements, challenges like high costs and complexity remain, necessitating further research and collaboration among stakeholders.
Researchers from the University of Southampton employ AI and drones to find a mate for the critically endangered Encephalartos woodii, an ancient plant species. Their interdisciplinary approach blends science, technology, and art to save this species from extinction, inspiring hope and innovation in conservation efforts.
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