AIMC Topic: Unmanned Aerial Devices

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Enhanced recognition and counting of high-coverage Amorphophallus konjac by integrating UAV RGB imagery and deep learning.

Scientific reports Feb 22, 2025
Accurate counting of Amorphophallus konjac (Konjac) plants can offer valuable insights for agricultural management and yield prediction. While current studies have primarily focused on detecting and counting crop plants during the early stages of low...
Deep Learning Image Processing, Computer-Assisted Crops, Agricultural Unmanned Aerial Devices Amorphophallus Agriculture Remote Sensing Technology
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SugarViT-Multi-objective regression of UAV images with Vision Transformers and Deep Label Distribution Learning demonstrated on disease severity prediction in sugar beet.

PloS one Feb 13, 2025
Remote sensing and artificial intelligence are pivotal technologies of precision agriculture nowadays. The efficient retrieval of large-scale field imagery combined with machine learning techniques shows success in various tasks like phenotyping, wee...
Beta vulgaris Unmanned Aerial Devices Machine Learning Remote Sensing Technology Deep Learning Plant Diseases Image Processing, Computer-Assisted Artificial Intelligence
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U3UNet: An accurate and reliable segmentation model for forest fire monitoring based on UAV vision.

Neural networks : the official journal of the International Neural Network Society Jan 30, 2025
Forest fires pose a serious threat to the global ecological environment, and the critical steps in reducing the impact of fires are fire warning and real-time monitoring. Traditional monitoring methods, like ground observation and satellite sensing, ...
Neural Networks, Computer Algorithms Remote Sensing Technology Fires Environmental Monitoring Unmanned Aerial Devices Forests Wildfires
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Paying more attention on backgrounds: Background-centric attention for UAV detection.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2025
Under the advancement of artificial intelligence, Unmanned Aerial Vehicles (UAVs) exhibit efficient flexibility in military reconnaissance, traffic monitoring, and crop analysis. However, the UAV detection faces unique challenges due to the UAV's sma...
Neural Networks, Computer Artificial Intelligence Humans Attention Unmanned Aerial Devices Algorithms
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Field-scale detection of Bacterial Leaf Blight in rice based on UAV multispectral imaging and deep learning frameworks.

PloS one Jan 17, 2025
Bacterial Leaf Blight (BLB) usually attacks rice in the flowering stage and can cause yield losses of up to 50% in severely infected fields. The resulting yield losses severely impact farmers, necessitating compensation from the regulatory authoritie...
Plant Diseases Xanthomonas Remote Sensing Technology Oryza Unmanned Aerial Devices Deep Learning Plant Leaves
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Acrobatics at the insect scale: A durable, precise, and agile micro-aerial robot.

Science robotics Jan 15, 2025
Aerial insects are exceptionally agile and precise owing to their small size and fast neuromotor control. They perform impressive acrobatic maneuvers when evading predators, recovering from wind gust, or landing on moving objects. Flapping-wing propu...
Animals Robotics Equipment Design Biomechanical Phenomena Unmanned Aerial Devices Flight, Animal Wings, Animal Aircraft Insecta
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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines.

Sensors (Basel, Switzerland) Jan 13, 2025
Assessing vines' vigour is essential for vineyard management and automatization of viticulture machines, including shaking adjustments of berry harvesters during grape harvest or leaf pruning applications. To address these problems, based on a standa...
Remote Sensing Technology Vitis Unmanned Aerial Devices Support Vector Machine Plant Leaves Machine Learning Geographic Information Systems
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A pack hunting strategy for heterogeneous robots in rescue operations.

Bioinspiration & biomimetics Jan 7, 2025
This study focuses on improving coordination among teams of heterogeneous robots, including unmanned aerial vehicles and unmanned ground vehicles, drawing inspiration from natural pack-hunting strategies. The goal is to increase the effectiveness of ...
Unmanned Aerial Devices Humans Decision Making Animals Biomimetics Robotics Rescue Work
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Multitemporal monitoring of forest indicator species using UAV and machine learning image recognition.

Environmental monitoring and assessment Dec 2, 2024
In natural restoration, it is important to improve the efficiency of monitoring. Remote sensing using unmanned aerial vehicle (UAV) platforms plays a major role in improving monitoring efficiency. UAV platforms are particularly suited for monitoring ...
Flowers Unmanned Aerial Devices Forests Japan Rhododendron Environmental Monitoring Remote Sensing Technology Machine Learning
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Assessing Huanglongbing Severity and Canopy Parameters of the Huanglongbing-Affected Citrus in Texas Using Unmanned Aerial System-Based Remote Sensing and Machine Learning.

Sensors (Basel, Switzerland) Nov 29, 2024
Huanglongbing (HLB), also known as citrus greening disease, is a devastating disease of citrus. However, there is no known cure so far. Recently, under Section 24(c) of the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA), a special local ...
Texas Plant Diseases Unmanned Aerial Devices Citrus Machine Learning Remote Sensing Technology
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