UAV Platforms for Data Acquisition and Intervention Practices in Forestry: Towards More Intelligent Applications DOI Creative Commons
Huihui Sun, Hao Yan, Mostafa Hassanalian

et al.

Aerospace, Journal Year: 2023, Volume and Issue: 10(3), P. 317 - 317

Published: March 22, 2023

Unmanned air vehicle (UAV) systems for performing forestry applications have expanded in recent decades and great economic benefits. They are validated to be more appealing than traditional platforms various aspects, such as repeat rate, spatial resolution, accuracy. This paper consolidates the state-of-the-art unmanned field with a major focus on UAV heterogeneous platforms, which applied variety of applications, wood production, tree quantification, disease control, wildfire management, wildlife conservation, species classification, etc. review also studies practical under multiple environments, including wild managed forests, grassland, urban green parks, stockyards. Special forest environments terrains present customized demands systems. The challenges deployment analyzed from environmental characterization, maneuverability mobility improvement, global regulatory interpretation. To better apply into forestry, future directions terms enhancement sensory adaption, need further developed synchronizing all possible agents automatic functioning exploration.

Language: Английский

Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends DOI Open Access
Syed Agha Hassnain Mohsan, Nawaf Qasem Hamood Othman, Yanlong Li

et al.

Intelligent Service Robotics, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 16, 2023

Language: Английский

Citations

401
IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends DOI Creative Commons
Sameer Qazi, Bilal A. Khawaja, Qazi Umar Farooq

et al.

IEEE Access, Journal Year: 2022, Volume and Issue: 10, P. 21219 - 21235

Published: Jan. 1, 2022

Smart agriculture techniques have recently seen widespread interest by farmers. This is driven several factors, which include the availability of economically-priced, low-powered Internet Things (IoT) based wireless sensors to remotely monitor and report conditions field, climate, crops. enables efficient management resources like minimizing water requirements for irrigation use toxic pesticides. Furthermore, recent boom in Artificial Intelligence can enable farmers deploy autonomous farming machinery make better predictions future on present past minimize crop diseases pest infestation. Together these two enabling technologies revolutionized conventional practices. survey paper provides: (a) A detailed tutorial available advancements field smart systems through IoT AI techniques; (b) critical review challenges their deployment; (c) An in-depth discussion about trends including both technological social, when will be widely adopted globally.

Language: Английский

Citations

211
Synergy of green hydrogen sector with offshore industries: Opportunities and challenges for a safe and sustainable hydrogen economy DOI
Sumit Kumar, Til Baalisampang, Ehsan Arzaghi

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 384, P. 135545 - 135545

Published: Dec. 14, 2022

Language: Английский

Citations

82
Water Quality Management in Aquaculture DOI Creative Commons
Fatimah Md. Yusoff, Wahidah Ahmad Dini Umi, Norulhuda Mohamed Ramli

et al.

Cambridge Prisms Water, Journal Year: 2024, Volume and Issue: 2

Published: Jan. 1, 2024

Abstract The aquaculture industry requires good water quality for its successful operation but produces wastes that can cause environmental deterioration and pose high risks to the sector. Adequate waste treatment recycling are necessary make a sustainable profitable contribute circular economy. Polluted sources, excess feeding, overstocking, use of antibiotics/chemicals harmful algal blooms major causes low production in systems. Discharges untreated would have serious impacts on receiving bodies, eventually itself. Possible solutions include technological innovations environmentally friendly systems, efficient processes management improved legislation governance. Environmentally feasible technologies such as system, integrated multi-trophic aquaponics including features viable options schemes. Best practices integrating advanced technologies, supported by automation sensors, modeling artificial intelligence-internet things environment, stable value chain. In general, low-cost impact reduction through governance crucial achieving sustainability natural management.

Language: Английский

Citations

68
Role of artificial intelligence (AI) in fish growth and health status monitoring: a review on sustainable aquaculture DOI
Arghya Mandal, Apurba Ratan Ghosh

Aquaculture International, Journal Year: 2023, Volume and Issue: 32(3), P. 2791 - 2820

Published: Oct. 10, 2023

Language: Английский

Citations

50
Low-Cost Water Quality Sensors for IoT: A Systematic Review DOI Creative Commons

Edson Tavares de Camargo,

Fábio Alexandre Spanhol, Juliano Scholz Slongo

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(9), P. 4424 - 4424

Published: April 30, 2023

In many countries, water quality monitoring is limited due to the high cost of logistics and professional equipment such as multiparametric probes. However, low-cost sensors integrated with Internet Things can enable real-time environmental networks, providing valuable information public. To facilitate widespread adoption these sensors, it crucial identify which accurately measure key parameters, their manufacturers, reliability in different environments. Although there an increasing body work utilizing questions remain unanswered. address this issue, a systematic literature review was conducted determine are being used for remote monitoring. The results show that three primary vendors selected papers. Most range price from US$6.9 US$169.00 but up US$500.00. While papers suggest suitable monitoring, few compare reference devices. Therefore, further research necessary accuracy compared

Language: Английский

Citations

47
Exploring opportunities of Artificial Intelligence in aquaculture to meet increasing food demand DOI Creative Commons
Mohd Ashraf Rather, Ishtiyaq Ahmad,

Azra Shah

et al.

Food Chemistry X, Journal Year: 2024, Volume and Issue: 22, P. 101309 - 101309

Published: March 19, 2024

The increasing global population drives a rising demand for food, particularly fish as preferred protein source, straining capture fisheries. Overfishing has depleted wild stocks, emphasizing the need advanced aquaculture technologies. Unlike agriculture, not seen substantial technological advancements. Artificial Intelligence (AI) tools like Internet of Things (IoT), machine learning, cameras, and algorithms offer solutions to reduce human intervention, enhance productivity, monitor health, feed optimization, water resource management. However, challenges such data collection, standardization, model accuracy, interpretability, integration with existing systems persist. This review explores adoption AI techniques advance industry bridge gap between food supply demand.

Language: Английский

Citations

30
Exploring the Potential of the Blue Economy: A Systematic Review of Strategies for Enhancing International Business in Bangladesh in the context of Indo-Pacific Region DOI Creative Commons
Tahsina Khan, Md Mehedi Hasan Emon

Review of Business and Economics Studies, Journal Year: 2024, Volume and Issue: 12(2), P. 55 - 73

Published: July 28, 2024

This systematic review aims to provide a methodical analysis of the Blue Economy in Indo-Pacific region, particularly from perspective Bangladesh, focusing on its growth trajectory, key stakeholders, policy frameworks, technological advancements, trade and investment trends, as well challenges opportunities for international business expansion. The methods employed comprehensive search electronic databases, inclusion exclusion criteria were applied identify relevant studies analysis. results revealed that 2000 2020, sectors country, such fisheries, aquaculture, maritime transportation, tourism, saw notable development. International development agencies, corporations, academic institutions, governments, civil society organizations are some major players projects. frameworks facilitate include integrated ocean management, blue initiatives, security governance, resilience adaptation climate change. Innovation expansion have been fueled by breakthroughs, autonomous underwater vehicles, renewable energy projects, remote sensing technologies, marine biotechnology. Rising demand sustainable goods services, technical advancement, regional collaboration all contributed an increase industries internationally. study concludes there is significant potential region drive economic growth, promote social progress, ensure environmental sustainability. However, regulatory complexity, access finance, inadequate infrastructure, degradation need be addressed fully realize this potential. Addressing these requires coordinated efforts businesses, academia, organizations, along with focus inclusive practices.

Language: Английский

Citations

22
A Review on the Use of Computer Vision and Artificial Intelligence for Fish Recognition, Monitoring, and Management DOI Creative Commons
Jayme Garcia Arnal Barbedo

Fishes, Journal Year: 2022, Volume and Issue: 7(6), P. 335 - 335

Published: Nov. 17, 2022

Computer vision has been applied to fish recognition for at least three decades. With the inception of deep learning techniques in early 2010s, use digital images grew strongly, and this trend is likely continue. As number articles published grows, it becomes harder keep track current state art determine best course action new studies. In context, article characterizes by identifying main studies on subject briefly describing their approach. contrast with most previous reviews related technology recognition, monitoring, management, rather than providing a detailed overview being proposed, work focuses heavily challenges research gaps that still remain. Emphasis given prevalent weaknesses prevent more widespread type practical operations under real-world conditions. Some possible solutions potential directions future are suggested, as an effort bring developed academy closer meeting requirements found practice.

Language: Английский

Citations

46
Digital twin-based intelligent fish farming with Artificial Intelligence Internet of Things (AIoT) DOI Creative Commons
Naomi A. Ubina,

Hsun-Yu Lan,

Shyi‐Chyi Cheng

et al.

Smart Agricultural Technology, Journal Year: 2023, Volume and Issue: 5, P. 100285 - 100285

Published: July 9, 2023

This paper focuses on designing a Digital Twin infrastructure that supports an agile-based Artificial Intelligence Internet of Things (AIoT) system for intelligent fish farming in aquaculture. Our includes the Things, cloud technology, and (AI) as its building blocks. physical entity is equipped with smart devices such sensors actuators embedded machines (fish feeding sorting machines) collect transmits big data to using wireless communication networks real-time remote monitoring. We have four major digital twin services: automate process, metric estimation count, size, weight), environmental monitoring (water condition, net hole, green algae), health (vitality, mortality, diseases). Each service multiple AI services (or objects) capable performing complex other functions optimizations, predictions, analyses decision-making optimize farm profits production. integrated prototype represents virtual accessible web mobile where users can perform various their related services.

Language: Английский

Citations

40