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 …

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 …

Optimizing the readiness for industry 4.0 in fulfilling the Sustainable Development Goal 1: focus on poverty elimination in Africa

R Ajaj, M Buheji, A Hassoun - Frontiers in Sustainable Food Systems, 2024 - frontiersin.org
This study explores the transformative potential of fourth industrial revolution (called Industry
4.0) technologies in the context of poverty elimination, with a particular focus on Africa …

[HTML][HTML] IoT-enabled fire detection for sustainable agriculture: A real-time system using flask and embedded technologies

A Morchid, R Jebabra, A Ismail, HM Khalid… - Results in …, 2024 - Elsevier
In modern agriculture, the threat of fire poses significant economic and environmental risks.
Additionally, traditional fire detection methods are inadequate and poorly integrated with …

[HTML][HTML] A Coffee Plant Counting Method Based on Dual-Channel NMS and YOLOv9 Leveraging UAV Multispectral Imaging

X Wang, C Zhang, Z Qiang, C Liu, X Wei, F Cheng - Remote Sensing, 2024 - mdpi.com
Accurate coffee plant counting is a crucial metric for yield estimation and a key component of
precision agriculture. While multispectral UAV technology provides more accurate crop …

The Convergence of Deep Learning, IoT, Sensors, and Farm Machinery in Agriculture

M Padhiary - Designing Sustainable Internet of Things Solutions for …, 2025 - igi-global.com
This chapter addresses the profound influence of deep learning, the internet of things (IoT),
sensors, and agricultural machinery on contemporary agriculture. These technologies …

Drivers and influencers of blockchain and cloud-based business sustainability accounting in China: Enhancing practices and promoting adoption

Z Tian, L Qiu, L Wang - Plos one, 2024 - journals.plos.org
The field of sustainability accounting aims to integrate environmental, social, and
governance factors into financial reporting. With the growing importance of sustainability …

[HTML][HTML] Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions

DB Olawade, OZ Wada, AO Ige, BI Egbewole… - Hygiene and …, 2024 - Elsevier
Abstract The application of Artificial Intelligence (AI) in environmental monitoring offers
accurate disaster forecasts, pollution source detection, and comprehensive air and water …

Factors predicting innovation-decisions: The effects of performance expectancy, social influence, and facilitating conditions on US Extension's promotion of precision …

CL Lee, R Strong, G Briers, T Murphrey… - NJAS: Impact in …, 2024 - Taylor & Francis
The human and social dimensions of knowledge transfer are essential to understand
applied solutions for improving climate, land sustainability, and food production. The lack of …

[HTML][HTML] Combination of Remote Sensing and Artificial Intelligence in Fruit Growing: Progress, Challenges, and Potential Applications

DEG Furuya, ÉL Bolfe, TC Parreiras, JGA Barbedo… - Remote Sensing, 2024 - mdpi.com
Fruit growing is important in the global agricultural economy, contributing significantly to
food security, job creation, and rural development. With the advancement of technologies …