Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques
Early and accurate diagnosis is a critical first step in mitigating losses caused by plant
diseases. An incorrect diagnosis can lead to improper management decisions, such as …
diseases. An incorrect diagnosis can lead to improper management decisions, such as …
Autonomous recharging and flight mission planning for battery-operated autonomous drones
Unmanned aerial vehicles (UAVs), commonly known as drones, are being increasingly
deployed throughout the globe as a means to streamline monitoring, inspection, mapping …
deployed throughout the globe as a means to streamline monitoring, inspection, mapping …
Adaptive informative path planning using deep reinforcement learning for uav-based active sensing
Aerial robots are increasingly being utilized for environmental monitoring and exploration.
However, a key challenge is efficiently planning paths to maximize the information value of …
However, a key challenge is efficiently planning paths to maximize the information value of …
An informative path planning framework for active learning in uav-based semantic mapping
Unmanned aerial vehicles (UAVs) are frequently used for aerial mapping and general
monitoring tasks. Recent progress in deep learning enabled automated semantic …
monitoring tasks. Recent progress in deep learning enabled automated semantic …
Adaptive path planning for UAVs for multi-resolution semantic segmentation
Efficient data collection methods play a major role in helping us better understand the Earth
and its ecosystems. In many applications, the usage of unmanned aerial vehicles (UAVs) for …
and its ecosystems. In many applications, the usage of unmanned aerial vehicles (UAVs) for …
[HTML][HTML] Mapping of potential fuel regions using uncrewed aerial vehicles for wildfire prevention
This paper presents a comprehensive forest mapping system using a customized drone
payload equipped with Light Detection and Ranging (LiDAR), cameras, a Global Navigation …
payload equipped with Light Detection and Ranging (LiDAR), cameras, a Global Navigation …
A review of the informative path planning, autonomous exploration and route planning using UAV in environment monitoring
MAA dos Santos, KCT Vivaldini - … International Conference on …, 2022 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have been used in several applications for monitoring
environments and mapping. To carry out the mapping of these environments, the UAV …
environments and mapping. To carry out the mapping of these environments, the UAV …
An automated machine learning framework in unmanned aircraft systems: new insights into agricultural management practices recognition approaches
KY Li, NG Burnside, RS de Lima, MV Peciña, K Sepp… - Remote Sensing, 2021 - mdpi.com
The recent trend of automated machine learning (AutoML) has been driving further
significant technological innovation in the application of artificial intelligence from its …
significant technological innovation in the application of artificial intelligence from its …
Multi-robot informative path planning from regression with sparse gaussian processes
This paper addresses multi-robot informative path planning (IPP) for environmental
monitoring. The problem involves determining informative regions in the environment that …
monitoring. The problem involves determining informative regions in the environment that …
Overcome the Fear Of Missing Out: Active sensing UAV scanning for precision agriculture
This paper deals with the problem of informative path planning for a UAV deployed for
precision agriculture applications. First, we observe that the “fear of missing out” data lead to …
precision agriculture applications. First, we observe that the “fear of missing out” data lead to …