AIMC Topic: Unmanned Aerial Devices

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Face mask identification with enhanced cuckoo optimization and deep learning-based faster regional neural network.

Scientific reports Nov 29, 2024
A mask identification and social distance monitoring system using Unmanned Aerial Vehicles (UAV) in the outdoors has been proposed for a health establishment. The above approach performed surveillance of the surrounding area using cameras installed i...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Unmanned Aerial Devices
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An improved trajectory tracking control of quadcopter using a novel Sliding Mode Control with Fuzzy PID Surface.

PloS one Nov 21, 2024
This paper presents Super Twisting Sliding Mode Control with a novel Fuzzy PID Surface for improved trajectory tracking of quadrotor unmanned aerial vehicles under external disturbances. First, quadrotor dynamic model with six degrees of freedom (6-D...
Unmanned Aerial Devices Models, Theoretical Fuzzy Logic Algorithms Computer Simulation
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Forest Aboveground Biomass Estimation Based on Unmanned Aerial Vehicle-Light Detection and Ranging and Machine Learning.

Sensors (Basel, Switzerland) Nov 2, 2024
is a widely planted species in plantation forests because of its outstanding characteristics, such as fast growth rate and high adaptability. Accurate and rapid prediction of biomass is important for plantation forest management and the prediction ...
Algorithms Ecosystem Machine Learning Biomass Trees Support Vector Machine Light Remote Sensing Technology Unmanned Aerial Devices Forests Eucalyptus
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Estimation of Strawberry Canopy Volume in Unmanned Aerial Vehicle RGB Imagery Using an Object Detection-Based Convolutional Neural Network.

Sensors (Basel, Switzerland) Oct 28, 2024
Estimating canopy volumes of strawberry plants can be useful for predicting yields and establishing advanced management plans. Therefore, this study evaluated the spatial variability of strawberry canopy volumes using a ResNet50V2-based convolutional...
Fragaria Unmanned Aerial Devices Image Processing, Computer-Assisted Aircraft Neural Networks, Computer
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Protocol for UAV fault diagnosis using signal processing and machine learning.

STAR protocols Oct 1, 2024
Unmanned aerial vehicles (UAVs) require fault diagnosis for safe operation. Here, we present a protocol for UAV fault diagnosis using signal processing and artificial intelligence. We describe steps for collecting vibration-based signal data, preproc...
Algorithms Signal Processing, Computer-Assisted Unmanned Aerial Devices Neural Networks, Computer Machine Learning
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Monitoring the leaf damage by the rice leafroller with deep learning and ultra-light UAV.

Pest management science Sep 12, 2024
BACKGROUND: Rice leafroller is a serious threat to the production of rice. Monitoring the damage caused by rice leafroller is essential for effective pest management. Owing to limitations in collecting decent quality images and high-performing identi...
Plant Diseases Moths Unmanned Aerial Devices Remote Sensing Technology Oryza Deep Learning Plant Leaves Animals
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Innovation in public health surveillance for social distancing during the COVID-19 pandemic: A deep learning and object detection based novel approach.

PloS one Sep 9, 2024
The Corona Virus Disease (COVID-19) has a huge impact on all of humanity, and people's disregard for COVID-19 regulations has sped up the disease's spread. Our study uses a state-of-the-art object detection model like YOLOv4 (You Only Look Once, vers...
Public Health Surveillance Humans Unmanned Aerial Devices SARS-CoV-2 Physical Distancing Pandemics Deep Learning COVID-19
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European beech spring phenological phase prediction with UAV-derived multispectral indices and machine learning regression.

Scientific reports Jul 9, 2024
Acquiring phenological event data is crucial for studying the impacts of climate change on forest dynamics and assessing the risks associated with the early onset of young leaves. Large-scale mapping of forest phenological timing using Earth observat...
Seasons Plant Leaves Fagus Climate Change Machine Learning Unmanned Aerial Devices Forests
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First use of unmanned aerial vehicles to monitor Halyomorpha halys and recognize it using artificial intelligence.

Pest management science Apr 17, 2024
BACKGROUND: Halyomorpha halys is one of the most damaging invasive agricultural pests in North America and southern Europe. It is commonly monitored using pheromone traps, which are not very effective because few bugs are caught and some escape and/o...
Animals Nymph Insect Control Unmanned Aerial Devices Artificial Intelligence Heteroptera
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AI-PUCMDL: artificial intelligence assisted plant counting through unmanned aerial vehicles in India's mountainous regions.

Environmental monitoring and assessment Apr 2, 2024
This work introduces a novel approach to remotely count and monitor potato plants in high-altitude regions of India using an unmanned aerial vehicle (UAV) and an artificial intelligence (AI)-based deep learning (DL) network. The proposed methodology ...
Artificial Intelligence India Environmental Monitoring Farmers Humans Unmanned Aerial Devices
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