Robotic arms in precision agriculture: A comprehensive review of the technologies, applications, challenges, and future prospects

T **, X Han - Computers and Electronics in Agriculture, 2024 - Elsevier
In precision agriculture, robotic arms exhibit significant technical advantages, such as
enhancing operational precision and efficiency, reducing labor costs, and supporting …

Internet of Things and wireless sensor networks for smart agriculture applications: A survey

MN Mowla, N Mowla, AFMS Shah, KM Rabie… - IEEe …, 2023 - ieeexplore.ieee.org
The increasing food scarcity necessitates sustainable agriculture achieved through
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …

Quantum Machine Learning: Classifications, Challenges, and Solutions

W Lu, Y Lu, J Li, A Sigov, L Ratkin, LA Ivanov - Journal of Industrial …, 2024 - Elsevier
Recently, research at the intersection of quantum mechanics and machine learning has
gained attention. This interdisciplinary field aims to tackle the computational efficiency of …

[HTML][HTML] Agriculture 4.0 adoption challenges in the emerging economies: Implications for smart farming and sustainability

MH Islam, MZ Anam, MR Hoque, M Nishat… - Journal of Economy and …, 2024 - Elsevier
To ensure food security in this age of production and supply disruption, the agricultural
sectors of emerging economies are gradually adopting more smart technologies to achieve …

Low-altitude intelligent transportation: System architecture, infrastructure, and key technologies

C Huang, S Fang, H Wu, Y Wang, Y Yang - Journal of Industrial Information …, 2024 - Elsevier
In the context of the burgeoning low-altitude economy, low-altitude intelligent transportation
(LAIT) has emerged as the focal point of research. This study comprehensively explores the …

Survey: federated learning data security and privacy-preserving in edge-Internet of Things

H Li, L Ge, L Tian - Artificial Intelligence Review, 2024 - Springer
The amount of data generated owing to the rapid development of the Smart Internet of
Things is increasing exponentially. Traditional machine learning can no longer meet the …

A mini review on the applications of artificial intelligence (AI) in surface chemistry and catalysis

F Al-Akayleh, ASA Ali Agha… - Tenside Surfactants …, 2024 - degruyter.com
This review critically analyzes the incorporation of artificial intelligence (AI) in surface
chemistry and catalysis to emphasize the revolutionary impact of AI techniques in this field …

[HTML][HTML] Advancements in sensor-based technologies for precision agriculture: an exploration of interoperability, analytics and deployment strategies

BK Shukla, N Maurya, M Sharma - Engineering Proceedings, 2023 - mdpi.com
In response to escalating global food demand and growing environmental concerns, the
incorporation of advanced sensor technologies in agriculture has become paramount. This …

Multi IRS‐Aided Low‐Carbon Power Management for Green Communication in 6G Smart Agriculture Using Deep Game Theory

F Masood, J Ahmad, A Al Mazroa… - Computational …, 2025 - Wiley Online Library
Power consumption management is vital in achieving sustainable and low‐carbon green
communication goals in 6G smart agriculture. This research aims to provide a low‐power …

[HTML][HTML] Strategic analysis for advancing smart agriculture with the analytic SWOT/PESTLE framework: A case for Turkey

D Uztürk, G Büyüközkan - Agriculture, 2023 - mdpi.com
In the contemporary discourse, smart agriculture (SA) stands out as a potent driver for
sustainable economic growth. The challenges of navigating SA transition are notably …