[HTML][HTML] Advancement of remote sensing for soil measurements and applications: A comprehensive review

MI Abdulraheem, W Zhang, S Li, AJ Moshayedi… - Sustainability, 2023 - mdpi.com
Remote sensing (RS) techniques offer advantages over other methods for measuring soil
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …

Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges

F Dou, J Ye, G Yuan, Q Lu, W Niu, H Sun… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …

A high performance-oriented AI-enabled IoT-based pest detection system using sound analytics in large agricultural field

MA Ali, RK Dhanaraj, A Nayyar - Microprocessors and Microsystems, 2023 - Elsevier
The agricultural industry has enormous potential to meet the world's growing need for
nutritious and healthful food. However, pests destroy a significant portion of the harvest and …

[HTML][HTML] Adaptive path planning for fusing rapidly exploring random trees and deep reinforcement learning in an agriculture dynamic environment UAVs

GGR Castro, GS Berger, A Cantieri, M Teixeira, J Lima… - Agriculture, 2023 - mdpi.com
Unmanned aerial vehicles (UAV) are a suitable solution for monitoring growing cultures due
to the possibility of covering a large area and the necessity of periodic monitoring. In …

Carbon mitigation in agriculture: Pioneering technologies for a sustainable food system

P Thamarai, VC Deivayanai, A Saravanan… - Trends in Food Science …, 2024 - Elsevier
The agricultural sector is a significant contributor to greenhouse gas emissions, primarily
through the release of carbon dioxide (CO 2), methane (CH 4), and nitrous oxide (N 2 O) …

When, where, and which?: Navigating the intersection of computer vision and generative ai for strategic business integration

M Hussain - IEEE Access, 2023 - ieeexplore.ieee.org
In today's rapidly evolving digital landscape, Artificial Intelligence (AI) exerts a profound
influence on our daily lives, from predictive text in emails to the ever-present virtual …

[HTML][HTML] Smart Sensors and Smart Data for Precision Agriculture: A Review

A Soussi, E Zero, R Sacile, D Trinchero, M Fossa - Sensors, 2024 - mdpi.com
Precision agriculture, driven by the convergence of smart sensors and advanced
technologies, has emerged as a transformative force in modern farming practices. The …

[HTML][HTML] A comprehensive review of scab disease detection on Rosaceae family fruits via UAV imagery

ZA Ali, C Yang, A Israr, Q Zhu - Drones, 2023 - mdpi.com
Disease detection in plants is essential for food security and economic stability. Unmanned
aerial vehicle (UAV) imagery and artificial intelligence (AI) are valuable tools for it. The …

Temperature‐smart plants: A new horizon with omics‐driven plant breeding

A Raza, S Bashir, T Khare, B Karikari… - Physiologia …, 2024 - Wiley Online Library
The adverse effects of mounting environmental challenges, including extreme temperatures,
threaten the global food supply due to their impact on plant growth and productivity …

Digital agriculture: Mapping knowledge structure and trends

R Zhou, Y Yin - IEEE Access, 2023 - ieeexplore.ieee.org
With the advancement of digital technologies, digital agriculture improves agricultural
efficiency and sustainability, reducing resource waste and environmental burden. Hence …