A comprehensive review of recent research trends on unmanned aerial vehicles (uavs)
The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and
industrial sectors has attracted a wave of new researchers and substantial investments in …
industrial sectors has attracted a wave of new researchers and substantial investments in …
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Globally, the external internet is increasingly being connected to industrial control systems.
As a result, there is an immediate need to protect these networks from a variety of threats …
As a result, there is an immediate need to protect these networks from a variety of threats …
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 …
Internet-of-things-based multiple-sensor monitoring system for soil information diagnosis using a smartphone
Y Wu, Z Yang, Y Liu - Micromachines, 2023 - mdpi.com
The rise of Internet of Things (IoT) technology has moved the digital world in a new direction
and is considered the third wave of the information industry. To meet the current growing …
and is considered the third wave of the information industry. To meet the current growing …
A Survey on Heterogeneity Taxonomy, Security and Privacy Preservation in the Integration of IoT, Wireless Sensor Networks and Federated Learning
Federated learning (FL) is a machine learning (ML) technique that enables collaborative
model training without sharing raw data, making it ideal for Internet of Things (IoT) …
model training without sharing raw data, making it ideal for Internet of Things (IoT) …
IoT-based agro-toolbox for soil analysis and environmental monitoring
The agricultural sector faces numerous challenges in ensuring optimal soil health and
environmental conditions for sustainable crop production. Traditional soil analysis methods …
environmental conditions for sustainable crop production. Traditional soil analysis methods …
Enhancing plant disease detection: A novel CNN-based approach with tensor subspace learning and HOWSVD-MDA
Abstract Machine learning has revolutionized the field of agricultural science, particularly in
the early detection and management of plant diseases, which are crucial for maintaining …
the early detection and management of plant diseases, which are crucial for maintaining …
Nutrient recovery from anaerobic digestate: Fertilizer informatics for circular economy
K Chojnacka, M Chojnacki - Environmental Research, 2024 - Elsevier
This study explores the integration of fertilizer informatics into the circular economy, with a
focus on enhancing nutrient recovery from anaerobic digestate. It utilizes advanced …
focus on enhancing nutrient recovery from anaerobic digestate. It utilizes advanced …
Applications of knowledge distillation in remote sensing: A survey
With the ever-growing complexity of models in the field of remote sensing (RS), there is an
increasing demand for solutions that balance model accuracy with computational efficiency …
increasing demand for solutions that balance model accuracy with computational efficiency …
[HTML][HTML] Charting the aquaculture internet of things impact: Key applications, challenges, and future trend
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 …
water quality, feeding operation, and disease control. Efficient management of these core …