As with many other sectors the amount of agriculture data based are increasing on a daily
basis. However, the application of data mining methods and techniques to discover new …

Data Mining in Agriculture represents a comprehensive effort to provide graduate students
and researchers with an analytical text on data mining techniques applied to agriculture and …

Accurate detection and identification of natural or intentional contamination events in a
drinking water pipe is critical to drinking water supply security and health risk management …

The contamination detection technology helps in water quality management and protection
in surface water. It is important to detect sudden contamination events timely from dynamic …

We consider the problem of designing a contaminant warning system for a municipal water
distribution network that uses imperfect sensors, which can generate false-positive and false …

This study presents a method for detecting contamination events of sources of drinking water
based on the Dempster–Shafer (DS) evidence theory. The detection method has the …

Timely deployment of contaminant warning systems requires on‐line sensors and
advancement of data analysis and decision support systems to accurately detect water …

Drinking water network is vulnerable to toxic chemicals. Anomaly detection-based event
detection can provide reliable indication of contamination by analyzing the real-time water …

Concerns about water quality and possible intentional contamination of water distribution
systems are making on‐line monitoring an increasingly important priority for many water …

Abstract The Fault Detection (FD) Problem in control theory concerns of monitoring a system
to identify when a fault has occurred. Two approaches can be distinguished for the FD …