AIMC Topic: Unmanned Aerial Devices

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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 ...
Trees Unmanned Aerial Devices Light Forests Biomass Support Vector Machine Remote Sensing Technology Eucalyptus Algorithms Ecosystem Machine Learning
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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...
Aircraft Fragaria Neural Networks, Computer Image Processing, Computer-Assisted Unmanned Aerial Devices
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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...
Moths Unmanned Aerial Devices Oryza Plant Diseases Animals Deep Learning Plant Leaves Remote Sensing Technology
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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...
Deep Learning Humans Public Health Surveillance COVID-19 Physical Distancing Pandemics SARS-CoV-2 Unmanned Aerial Devices
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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...
Unmanned Aerial Devices Fagus Seasons Climate Change Plant Leaves Forests Machine Learning
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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...
Artificial Intelligence Insect Control Heteroptera Animals Unmanned Aerial Devices Nymph
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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 ...
Farmers Unmanned Aerial Devices Humans India Artificial Intelligence Environmental Monitoring
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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...
Deep Learning Wildfires Unmanned Aerial Devices Artificial Intelligence Algorithms
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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 Unmanned Aerial Devices Ecosystem Artificial Intelligence Remote Sensing Technology
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