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Boost precision agriculture with unmanned aerial vehicle remote sensing and edge intelligence: A survey
J Liu, J **ang, Y **, R Liu, J Yan, L Wang - Remote Sensing, 2021 - mdpi.com
In recent years unmanned aerial vehicles (UAVs) have emerged as a popular and cost-
effective technology to capture high spatial and temporal resolution remote sensing (RS) …
effective technology to capture high spatial and temporal resolution remote sensing (RS) …
A bibliometric review of the use of unmanned aerial vehicles in precision agriculture and precision viticulture for sensing applications
This review focuses on the use of unmanned aerial vehicles (UAVs) in precision agriculture,
and specifically, in precision viticulture (PV), and is intended to present a bibliometric …
and specifically, in precision viticulture (PV), and is intended to present a bibliometric …
Enhancing hill farming efficiency using unmanned agricultural vehicles: a comprehensive review
The harsh terrain and remoteness of hill farming offer unique problems that frequently result
in output inefficiencies and increased labor expenses for completing farm operations on …
in output inefficiencies and increased labor expenses for completing farm operations on …
[HTML][HTML] A dynamic reconfigurable architecture for hybrid spiking and convolutional fpga-based neural network designs
This work presents a dynamically reconfigurable architecture for Neural Network (NN)
accelerators implemented in Field-Programmable Gate Array (FPGA) that can be applied in …
accelerators implemented in Field-Programmable Gate Array (FPGA) that can be applied in …
Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition
One of the most sophisticated platforms for hosting intelligent systems is bio-inspired. This
study proposes pattern recognition hardware using a biologically inspired Spiking Neural …
study proposes pattern recognition hardware using a biologically inspired Spiking Neural …
Crop health assessment through hierarchical fuzzy rule-based status maps
Precision agriculture is evolving toward a contemporary approach that involves multiple
sensing techniques to monitor and enhance crop quality while minimizing losses and waste …
sensing techniques to monitor and enhance crop quality while minimizing losses and waste …
Formal Methods for Autonomous Vehicles
G Provan - IT Professional, 2024 - ieeexplore.ieee.org
This article describes the impact that autonomous vehicle operation will have on a range of
domains and how formal methods can guarantee the safe operation of those vehicles. The …
domains and how formal methods can guarantee the safe operation of those vehicles. The …
Radar perception for autonomous unmanned aerial vehicles: A survey
The advent of consumer and industrial Unmanned Aerial Vehicles (UAVs), commonly
referred to as drones, has opened business opportunities in many fields, including logistics …
referred to as drones, has opened business opportunities in many fields, including logistics …
Close proximity aerial image for precision viticulture. A review
Accurately detecting and localizing vineyard disease detections are essential to reduce
production losses. A great variety of scientific work focuses on remote sensing methods …
production losses. A great variety of scientific work focuses on remote sensing methods …
An embedded instrument for online condition monitoring of unmanned and autonomous systems
B Wang, B Chen, D Liu, X Peng - IEEE Instrumentation & …, 2022 - ieeexplore.ieee.org
With the integration of Artificial Intelligence (AI) and robots, unmanned and autonomous
systems (UAS) have been widely used both in civil and military fields. However, the …
systems (UAS) have been widely used both in civil and military fields. However, the …