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

The article deals with the issue of economic efficiency of the use of drones in agricultural production. There is an opinion about their inefficiency, which is refuted by the study. The purpose of the study is to determine the effectiveness of the use of agricultural drones (using the example of U-30L-6 (BROUAV) in comparison with other technological options. The use of agricultural drones allows not only to reduce the cost of manufactured products, but also to increase crop yields by reducing losses during cultivation, as the number of passes of wheeled vehicles across the field during the growing season is reduced. Among the options considered (trailed sprayer, self-propelled sprayer, agrodrone), the use of copters took the second place in terms of production costs. But due to a decrease in the spraying rate and losses from trampling, the economic effect of using agricultural drones is the highest (3417.34 rubles/ha), which is more than twice as high as when using a self-propelled sprayer.

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“…The price of applying microfertilizers is the same as for the treatment of plant protection chemicals [35][36][37][38].…”

Section: Resultsmentioning

confidence: 99%

Efficiency of using drones in agricultural production

et al. 2023

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“…However, navigating and communicating with AUVs underwater can be challenging due to the geography 76 . Additionally, these devices can deteriorate quickly due to the saline environment, weather and water currents 77 . In contrast, UAVs are smaller, lightweight and easy to navigate and communicate; however, they have limited flight time and are prone to wind and other environmental conditions 78 .…”

Section: Early Diagnosis and Monitoring Methodsmentioning

confidence: 99%

Emerging technologies revolutionising disease diagnosis and monitoring in aquatic animal health

Bohara,

Joshi,

Acharya

et al. 2023

Reviews in Aquaculture

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In recent years, aquaculture has seen tremendous growth worldwide due to technological advancements, leading to research and development of various innovations. Aquaculture farmers prioritise early diagnosis for timely treatment to achieve better productive and economic performance. Aquatic animal health experts still employ traditional diagnostic methods using visual diagnosis, cell culture, media culture, histopathology and serology. However, the developments of technologies in aquamedicine, such as sequencing, biosensors and CRISPR, have enabled rapid disease detection within minutes. Furthermore, integrating sensors, drones, artificial intelligence and the internet in aquaculture farm monitoring has helped farmers take decisive actions to improve production. Advancements in diagnostic techniques have significantly enhanced the efficient detection of bacterial, viral, parasitic and fungal diseases in aquatic animals. Moreover, monitoring water quality, aquatic animal health and animal behaviour on farms has become exceptionally streamlined with cutting‐edge tools like drones, sensors and artificial intelligence. Summarising research and development in aquatic animal health and monitoring aids efficient technology adoption in aquaculture. With these advanced technologies' continued development and adoption in developed countries, the aquaculture industry is experiencing growth and increased efficiency, benefiting farmers and consumers in these regions. However, farmers and educators in developing countries lack information about these technologies. Training of agricultural educators and efficient dissemination of knowledge and technologies through advertising and publication in collaboration with companies is essential. This review delves into emerging technologies capable of replacing the conventional diagnostic and monitoring methods utilised in aquaculture. We also explore their strengths, limitations and potential future applications within aquaculture settings.

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“…UAVs can significantly reduce cost and labors in the aquaculture industry, thus providing stability in fish form through minimizing farm deaths. In aquaculture, UAVs can be used to capture real-time images on underwater species, observing fish behavior, remote sensing, site surveillance, fish feeding management, and for assessment of the species [113]. UAVs offer enormous benefits for monitoring offshore kelp aquaculture farms.…”

Section: Aquaculture Farm Monitoring and Managementmentioning

confidence: 99%

Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends

Mohsan

Othman

et al. 2023

Intel Serv Robotics

161

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Recently, unmanned aerial vehicles (UAVs) or drones have emerged as a ubiquitous and integral part of our society. They appear in great diversity in a multiplicity of applications for economic, commercial, leisure, military and academic purposes. The drone industry has seen a sharp uptake in the last decade as a model to manufacture and deliver convergence, offering synergy by incorporating multiple technologies. It is due to technological trends and rapid advancements in control, miniaturization, and computerization, which culminate in secure, lightweight, robust, more-accessible and cost-efficient UAVs. UAVs support implicit particularities including access to disaster-stricken zones, swift mobility, airborne missions and payload features. Despite these appealing benefits, UAVs face limitations in operability due to several critical concerns in terms of flight autonomy, path planning, battery endurance, flight time and limited payload carrying capability, as intuitively it is not recommended to load heavy objects such as batteries. As a result, the primary goal of this research is to provide insights into the potentials of UAVs, as well as their characteristics and functionality issues. This study provides a comprehensive review of UAVs, types, swarms, classifications, charging methods and regulations. Moreover, application scenarios, potential challenges and security issues are also examined. Finally, future research directions are identified to further hone the research work. We believe these insights will serve as guidelines and motivations for relevant researchers.

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

Cited by 52 publications

References 214 publications

Efficiency of using drones in agricultural production

Efficiency of using drones in agricultural production

Emerging technologies revolutionising disease diagnosis and monitoring in aquatic animal health

Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends

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