AIMC Topic: Unmanned Aerial Devices

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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...
Humans Artificial Intelligence Culture Unmanned Aerial Devices Reproducibility of Results 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...
Plants Harmful Algal Bloom Deep Learning Environmental Monitoring Chlorophyll A Unmanned Aerial Devices Cyanobacteria Lakes
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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.
Artificial Intelligence Animals Conservation of Natural Resources Africa Unmanned Aerial Devices Robotics Animals, Wild
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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.
Medically Underserved Area Unmanned Aerial Devices Africa Robotics
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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 Electronics Robotics Aircraft
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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...
Dicamba Deep Learning Glycine max Crops, Agricultural Plant Weeds Plant Breeding Unmanned Aerial Devices Herbicides
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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...
Nitrogen Artificial Intelligence Zea mays Unmanned Aerial Devices Edible Grain Deep Learning
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Drone-assisted collection of environmental DNA from tree branches for biodiversity monitoring.

Science robotics Jan 18, 2023
The protection and restoration of the biosphere is crucial for human resilience and well-being, but the scarcity of data on the status and distribution of biodiversity puts these efforts at risk. DNA released into the environment by organisms, i.e., ...
Robotics Biodiversity Humans Animals Unmanned Aerial Devices Trees DNA, Environmental
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Artificial intelligence for automated detection of large mammals creates path to upscale drone surveys.

Scientific reports Jan 18, 2023
Imagery from drones is becoming common in wildlife research and management, but processing data efficiently remains a challenge. We developed a methodology for training a convolutional neural network model on large-scale mosaic imagery to detect and ...
Artificial Intelligence Neural Networks, Computer Animals Unmanned Aerial Devices Software Cattle Reindeer
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