Sensors and Measurements for Unmanned Systems: An Overview

Balestrieri, E.; Daponte, P.; Vito, Luca De; Lamonaca, Francesco

doi:10.3390/s21041518

Cited by 61 publications

(26 citation statements)

References 78 publications

(152 reference statements)

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“…Therefore, finding an optimal sensor that can perform various tasks, applications, and types is an unsolvable problem. Individual sensor specifications and characteristics affect the performance of UV aside from other factors such as operating conditions and environment [71]. One of the primary purposes of the sensor is to collect data relevant to a mission beyond plat-form navigation.…”

Section: Unmanned Vehicles and Sensorsmentioning

confidence: 99%

“…UAV's flight position and orientation are determined by combining accelerometers, tilt sensors and, gyroscopes [71]. Aside from GPS, and based on Table 1, USVs can also use radars or inertial navigation systems (INS) if the satellite signal is unavailable.…”

Section: Unmanned Vehicles and Sensorsmentioning

confidence: 99%

“…RGB digital cameras provide high-spatial-resolution. The spatial resolution of the RGB sensor determines the quality of the acquired images [71]. The work of Liu et al [83] provided a detailed discussion of the various sensors shown in Table 2.…”

Section: Data-processing Capabilitymentioning

confidence: 99%

“…One of the challenges to facilitate image and video collection in the underwater environment is data quality, and AUV should be capable of collecting high-definition data for monitoring. Image captures of AUV are affected by the amount of light available in the underwater environment is poor due to the scattering light or turbidity for shallow coastal water [71]. AUVs are not capable of GPS signals; instead, they depend on acoustics, sonar, cameras, INSs, or combinations of such systems to navigate.…”

Section: Data-processing Capabilitymentioning

confidence: 99%

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A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

Ubina

Cheng

2022

Drones

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This paper aims to provide an overview of the capabilities of unmanned systems to monitor and manage aquaculture farms that support precision aquaculture using the Internet of Things. The locations of aquaculture farms are diverse, which is a big challenge on accessibility. For offshore fish cages, there is a difficulty and risk in the continuous monitoring considering the presence of waves, water currents, and other underwater environmental factors. Aquaculture farm management and surveillance operations require collecting data on water quality, water pollutants, water temperature, fish behavior, and current/wave velocity, which requires tremendous labor cost, and effort. Unmanned vehicle technologies provide greater efficiency and accuracy to execute these functions. They are even capable of cage detection and illegal fishing surveillance when equipped with sensors and other technologies. Additionally, to provide a more large-scale scope, this document explores the capacity of unmanned vehicles as a communication gateway to facilitate offshore cages equipped with robust, low-cost sensors capable of underwater and in-air wireless connectivity. The capabilities of existing commercial systems, the Internet of Things, and artificial intelligence combined with drones are also presented to provide a precise aquaculture framework.

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Section: Unmanned Vehicles and Sensorsmentioning

confidence: 99%

Section: Unmanned Vehicles and Sensorsmentioning

confidence: 99%

Section: Data-processing Capabilitymentioning

confidence: 99%

Section: Data-processing Capabilitymentioning

confidence: 99%

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A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

Ubina

Cheng

2022

Drones

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“…Unmanned Aircraft Systems (UAS), Unmanned Aerial Vehicles (UAV), Drones, or Remotely Piloted Aircraft Systems (RPAS) refer to the unmanned systems navigating in the air [14], capable of flying over hard-to-reach areas [15]. This study was based only on the references regarding civilian UAS, not those used in the military sector.…”

Section: Introductionmentioning

confidence: 99%

The Role of UAS–GIS in Digital Era Governance. A Systematic Literature Review

et al. 2021

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UAS (Unmanned Aircraft Systems) technologies, also known as UAV (Unmanned Aerial Vehicle), drones, or Remotely Piloted Aircraft System (RPAS) and GIS (Geographic Information System) are recognised for the value of the results that can be achieved by their combined use. However, their use and the results achieved are rarely framed within the context of Digital Era Governance (DEG), an undertaking that would significantly reduce the capabilities of knowledge transfer from the academic and/or private environment to the public domain. The purpose of this study was to highlight, by a bibliometric analysis, the areas of proposed use of this team of tools and the extent to which these can enter the sphere of interest of public administrations, especially local ones. From a methodological point of view, based on the 439 articles filtered from the Web of Science database where UAS/UAV and GIS technologies were used, several bibliometric analyses have emerged. VOSviewer and R (Bibliometrix tool) were used to conduct the bibliometric analyses. Most scientific publications that used UAV technology as a working tool have predominant applicability in photogrammetry, while GIS applications are found in publications dedicated to image processing, landslides, and cultural and archaeological heritage. We point out that from the point of view of international cooperation, at the level of institutions or countries, certain international organisations from the USA, China, and the central and northern European states have a high interest in this topic, and a low cooperation between academia and public administration is exhibited. The conclusion is represented by the apparent lack of framing of the results of UAS–GIS technologies usage into wider and more topical contexts, such as digital era governance, and also a reduced applicability of the research results.

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Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review

Gano,

Bhadra,

Vilbig

et al. 2024

The Plant Phenome Journal

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Over the last decade, the use of unmanned aerial vehicles (UAVs) for plant phenotyping and field crop monitoring has significantly evolved and expanded. These technologies have been particularly valuable for monitoring crop growth and health and for managing abiotic and biotic stresses such as drought, fertilization deficiencies, disease, and bioaggressors. This paper provides a comprehensive review of the progress in UAV‐based plant phenotyping, with a focus on the current use and application of drone technology to gain information on plant growth, development, adaptation, and yield. We reviewed over 200 research articles and discuss the best tools and methodologies for different research purposes, the challenges that need to be overcome, and the major research gaps that remain. First, the review offers a critical focus on elucidating the distinct characteristics of UAV platforms, highlighting the diverse sensor technologies employed and shedding light on the nuances of UAV data acquisition and processing methodologies. Second, it presents a comprehensive analysis of the multiple applications of UAVs in field phenotyping, underscoring the transformative potential of integrating machine learning techniques for plant analysis. Third, it delves into the realm of machine learning applications for plant phenotyping, emphasizing its role in enhancing data analysis and interpretation. Furthermore, the paper extensively examines the open issues and research challenges within the domain, addressing the complexities and limitations faced during data acquisition, processing, and interpretation. Finally, it outlines the future trends and emerging technologies in the field of UAV‐based plant phenotyping, paving the way for innovative advancements and methodologies.

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Sensors and Measurements for Unmanned Systems: An Overview

Cited by 61 publications

References 78 publications

A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

The Role of UAS–GIS in Digital Era Governance. A Systematic Literature Review

Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review

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