AIMC Topic: Unmanned Aerial Devices

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Development of a deep learning-based surveillance system for forest fire detection and monitoring using UAV.

PloS one Mar 12, 2024
This study presents a surveillance system developed for early detection of forest fires. Deep learning is utilized for aerial detection of fires using images obtained from a camera mounted on a designed four-rotor Unmanned Aerial Vehicle (UAV). The o...
Artificial Intelligence Algorithms Wildfires Deep Learning Unmanned Aerial Devices
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Monitoring of Antarctica's Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI.

Sensors (Basel, Switzerland) Feb 6, 2024
Vegetation in East Antarctica, such as moss and lichen, vulnerable to the effects of climate change and ozone depletion, requires robust non-invasive methods to monitor its health condition. Despite the increasing use of unmanned aerial vehicles (UAV...
Antarctic Regions Artificial Intelligence Unmanned Aerial Devices Ecosystem Remote Sensing Technology
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YOLO-IHD: Improved Real-Time Human Detection System for Indoor Drones.

Sensors (Basel, Switzerland) Jan 31, 2024
In the field of unmanned systems, the combination of artificial intelligence with self-operating functionalities is becoming increasingly important. This study introduces a new method for autonomously detecting humans in indoor environments using unm...
Unmanned Aerial Devices Culture Humans Reproducibility of Results Artificial Intelligence Computer Systems
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Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach.

The Science of the total environment Dec 23, 2023
Recent advances in remote sensing techniques provide a new horizon for monitoring the spatiotemporal variations of harmful algal blooms (HABs) using hyperspectral data in inland water. In this study, a hierarchical concatenated variational autoencode...
Unmanned Aerial Devices Environmental Monitoring Lakes Plants Deep Learning Harmful Algal Bloom Cyanobacteria Chlorophyll A
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Wildlife conservation using drones and artificial intelligence in Africa.

Science robotics Dec 20, 2023
The use of drones and artificial intelligence may offer more reliable methods of counting populations and monitoring wildlife.
Unmanned Aerial Devices Animals, Wild Africa Robotics Conservation of Natural Resources Artificial Intelligence Animals
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Bringing underserved communities life-saving aid through aerial logistics.

Science robotics Dec 20, 2023
Autonomous drone delivery of medical supplies has improved access to health care for local communities in Africa.
Africa Robotics Medically Underserved Area Unmanned Aerial Devices
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Surface sediment classification using a deep learning model and unmanned aerial vehicle data of tidal flats.

Marine pollution bulletin Nov 30, 2023
This study proposes a deep learning model, U-Net, to improve surface sediment classification using high-resolution unmanned aerial vehicle (UAV) images. We constructed training datasets with UAV images and corresponding labeling data acquired from th...
Deep Learning Unmanned Aerial Devices
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Drone-Robot to Clean Power Line Insulators.

Sensors (Basel, Switzerland) Jun 13, 2023
The inspection and maintenance of transmission systems are necessary for their proper functioning. In this way, among the line's critical points are the insulator chains, which are responsible for providing insulation between conductors and structure...
Electric Power Supplies Unmanned Aerial Devices Robotics Aircraft Electronics
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Estimation of Off-Target Dicamba Damage on Soybean Using UAV Imagery and Deep Learning.

Sensors (Basel, Switzerland) Mar 19, 2023
Weeds can cause significant yield losses and will continue to be a problem for agricultural production due to climate change. Dicamba is widely used to control weeds in monocot crops, especially genetically engineered dicamba-tolerant (DT) dicot crop...
Crops, Agricultural Herbicides Plant Weeds Dicamba Unmanned Aerial Devices Glycine max Plant Breeding Deep Learning
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UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping.

Sensors (Basel, Switzerland) Feb 6, 2023
Recent advances in unmanned aerial vehicles (UAV), mini and mobile sensors, and GeoAI (a blend of geospatial and artificial intelligence (AI) research) are the main highlights among agricultural innovations to improve crop productivity and thus secur...
Edible Grain Deep Learning Artificial Intelligence Nitrogen Zea mays Unmanned Aerial Devices
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