IoT solutions with artificial intelligence technologies for precision agriculture: definitions, applications, challenges, and opportunities

EEK Senoo, L Anggraini, JA Kumi, BK Luna… - …, 2024 - search.proquest.com
The global agricultural sector confronts significant obstacles such as population growth,
climate change, and natural disasters, which negatively impact food production and pose a …

Artificial intelligence-based aquaculture system for optimizing the quality of water: A systematic analysis

O Capetillo-Contreras, FD Pérez-Reynoso… - Journal of Marine …, 2024 - mdpi.com
The world population is expected to grow to around 9 billion by 2050. The growing need for
foods with high protein levels makes aquaculture one of the fastest-growing food industries …

[HTML][HTML] Charting the aquaculture internet of things impact: Key applications, challenges, and future trend

AF Abdullah, HC Man, A Mohammed, MM Abd Karim… - Aquaculture …, 2024 - Elsevier
Aquaculture plays a pivotal role in global food production, grappling with distinct hurdles in
water quality, feeding operation, and disease control. Efficient management of these core …

A Comprehensive Review On Deep Learning-Based Data Fusion

M Hussain, M O'Nils, J Lundgren… - IEEE Access, 2024 - ieeexplore.ieee.org
The rapid progress in sensor technology and computational capabilities has significantly
improved real-time data collection, enabling precise monitoring of various phenomena and …

Designing A WSNs-based Smart Home Monitoring System through Deep Reinforcement Learning

A Taqwa, IGT Isa, I Ariyanti - Jurnal RESTI (Rekayasa Sistem dan …, 2023 - jurnal.iaii.or.id
The technology of smart home systems has developed rapidly and provides convenience for
human life. Several smart home technologies, especially monitoring systems, have been …

Control of an aquaponic system to improve the yield of gray tilapia and lettuce cultivation.

JH Grados Gamarra… - … Journal of Electrical …, 2025 - search.ebscohost.com
Water quality assessment presents challenges, primarily the paucity of available data and
ongoing system maintenance. This research develops an automated monitoring and control …

An Embedded Hardware Prototype for Fish Farm Monitoring

SA Dodda, J Reddy, A Patwari - … Conference on I-SMAC (IoT in …, 2024 - ieeexplore.ieee.org
Aquaculture plays a significant role in addressing the growing demand for seafood
worldwide. However, traditional aquaculture operations often encounter issues related to …

A Deep Reinforcement Learning Approach in IoT-based Smart Plantation Monitoring System

WT Sung, IGT Isa - 2023 International Automatic Control …, 2023 - ieeexplore.ieee.org
The world's need for food is an important aspect of achieving the sustainable development
goals (SDGs) proclaimed by the United Nations. One of the techniques used in this effort is …

[PDF][PDF] Research Progress of Artificial Intelligence in Intelligent Fisheries Breeding in Prediction and Health Management Systems

D Yang, X Chen, X Sun, G Tan - 2024 - preprints.org
The research in this review emphasizes the crucial importance of integrating artificial
intelligence (AI) into aquaculture to improve efficiency, sustainability, and fish health …

Reinforcement Learning Based Production Planning in the Aquaculture Industry

M Luna, O Perez-Mon, R Rosillo… - 2023 Congress in …, 2023 - ieeexplore.ieee.org
Production planning and decision-making processes in the aquaculture industry are
becoming increasingly complex. Decision-makers must take into consideration a large …