Recent advancements and challenges of AIoT application in smart agriculture: A review
As the most popular technologies of the 21st century, artificial intelligence (AI) and the
internet of things (IoT) are the most effective paradigms that have played a vital role in …
internet of things (IoT) are the most effective paradigms that have played a vital role in …
Internet of Things and wireless sensor networks for smart agriculture applications: A survey
The increasing food scarcity necessitates sustainable agriculture achieved through
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …
[HTML][HTML] Review of low-cost, off-grid, biodegradable in situ autonomous soil moisture sensing systems: Is there a perfect solution?
Soil moisture monitoring is essential for a variety of applications including agriculture,
forestry, and environmental monitoring. However, soil moisture sensors may be expensive …
forestry, and environmental monitoring. However, soil moisture sensors may be expensive …
A Survey of AI Techniques in IoT Applications with Use Case Investigations in the Smart Environmental Monitoring and Analytics in Real-Time IoT Platform
In this paper, we have developed the SEMAR (Smart Environmental Monitoring and
Analytics in Real-Time) IoT application server platform for fast deployments of IoT …
Analytics in Real-Time) IoT application server platform for fast deployments of IoT …
GCP: A multi-strategy improved wireless sensor network model for environmental monitoring
J Wang, N Wang, H Wang, K Cao, AM El-Sherbeeny - Computer Networks, 2024 - Elsevier
Nowadays, smart environmental monitoring devices are widely used in various fields, and
one of the most representative tools is the wireless sensor network (WSN). WSNs are easy …
one of the most representative tools is the wireless sensor network (WSN). WSNs are easy …
Integration of Internet of Things (IoT) and machine learning for management of ground water banks in drought-prone areas: a case study from Imjai Organic Garden …
This study presents an innovative approach integrating Internet of Things (IoT) and machine
learning for optimized water management in precision agriculture, focusing on jasmin, date …
learning for optimized water management in precision agriculture, focusing on jasmin, date …
[HTML][HTML] Sustainable management and agriculture resource technology system using remote sensing descriptors and IoT
The agricultural sector is a paramount arena of research pertaining to both global and Indian
context. Despite India's agricultural dominance, productivity has consistently declined due to …
context. Despite India's agricultural dominance, productivity has consistently declined due to …
Smart Farming Technologies: A Methodological Overview and Analysis
K Chicaiza, R Paredes, IM Sarzosa, SG Yoo… - IEEE …, 2024 - ieeexplore.ieee.org
This paper presents a comprehensive examination of smart farming solutions through a
systematic review of literature available in various digital repositories. Methodologically, we …
systematic review of literature available in various digital repositories. Methodologically, we …
A multi-model deep learning approach to address prediction imbalances in smart greenhouses
The creation of smart greenhouses is playing a crucial role in paving the way toward
precision agriculture characterized by enhanced efficiency. Integral to these greenhouses …
precision agriculture characterized by enhanced efficiency. Integral to these greenhouses …
A Systematic Review and Meta-Analysis of Intelligent Irrigation Systems
The water crisis, global warming and climate changes have become recently prominent
world issues. Saving and conserving water have become, therefore, an imperative for water …
world issues. Saving and conserving water have become, therefore, an imperative for water …