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 …
climate change, and natural disasters, which negatively impact food production and pose a …
[HTML][HTML] Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index …
Recently, there has been a significant advancement in the water quality index (WQI) models
utilizing data-driven approaches, especially those integrating machine learning and artificial …
utilizing data-driven approaches, especially those integrating machine learning and artificial …
Multifaceted anomaly detection framework for leachate monitoring in landfills
R Liu, S Jiang, J Ou, KL Kouadio, B Xiong - Journal of Environmental …, 2024 - Elsevier
The imperative to preserve environmental resources has transcended traditional
conservation efforts, becoming a crucial element for sustaining life. Our deep …
conservation efforts, becoming a crucial element for sustaining life. Our deep …
An Intelligent LoRaWAN-based IoT Device for Monitoring and Control Solutions in Smart Farming through anomaly detection integrated with unsupervised machine …
Smart farming, popularly called precision agriculture, refers to technologies like the Internet
of Things (IoT), Artificial Intelligence (AI), and drones that are rapidly transforming age-old …
of Things (IoT), Artificial Intelligence (AI), and drones that are rapidly transforming age-old …
HCL-MTSAD: Hierarchical Contrastive Consistency Learning for Accurate Detection of Industrial Multivariate Time Series Anomalies
H Sun, Y Huang, L Han, C Fu, C Zhou - arXiv preprint arXiv:2404.08224, 2024 - arxiv.org
Multivariate Time Series (MTS) anomaly detection focuses on pinpointing samples that
diverge from standard operational patterns, which is crucial for ensuring the safety and …
diverge from standard operational patterns, which is crucial for ensuring the safety and …
X Bot Detection Using One-Class Classification Methods with Isolation Forest Algorithm.
Y Miftahuddin, MH Al-Ghifary - International Journal on …, 2024 - search.ebscohost.com
X bots pose a significant issue in the social media landscape, with many shared links
originating from bot-like accounts. This study introduces the application of the Isolation …
originating from bot-like accounts. This study introduces the application of the Isolation …
[PDF][PDF] Anomaly Detection on Univariate Sensing Time Series Data for Smart Aquaculture Using Deep Learning
A Petkovski, V Shehu - SEEU Review - sciendo.com
Aquaculture plays a significant role in both economic development and food production.
Maintaining an ecological environment with good water quality is essential to ensure the …
Maintaining an ecological environment with good water quality is essential to ensure the …