This paper reviews the different remote sensing techniques found in literature to monitor plant water status, allowing farmers control irrigation management and avoid unnecessary periods of shortage a needless waste valuable water. The scope this covers broad range 77 references published between years 1981 2021 collected from search web sites, especially Scopus. Among them, 74 are research pap...

The response of the shallow portion ground (vadose zone) and earth structures is affected by interaction with atmosphere. Very frequently, surface covered vegetation and, as a result, transpiration plays major role in ground–atmosphere​ interaction. soil plant form continuous hydraulic system that needs to be characterised model ‘boundary condition’ geotechnical water flow problem. Water takes ...

The incorporation of distributed control systems in power plants has become increasingly standard. However, particularly under alarm conditions, ease of access to plant-wide signals complicates the task of monitoring plant operation. Data mining techniques are ideally suited to dealing with such data, which tends to be highly correlated and collinear. Typically, models identify relationships un...

Conventional predictive maintenance involves continuous processing of real-time data from plant sensors of critical variables that are indicators of the health of the equipment. Some intelligent monitoring systems using rules elicited from maintenance personnel have being developed to infer the causes of impending faults. In this paper we propose a novel approach to intelligent predictive maint...

Precision agriculture is area with lack of cheap technology. The refinement of the production system brings large advantages to the producer and the use of images makes the monitoring a more cheap methodology. Macronutrients monitoring can to determine the health and vulnerability of the plant in specific stages. In this paper is analyzed the method based on computational intelligence to work w...

1. Scope, aims and benefits of Data Reconciliation 1.1. Importance of Measurements for Process Monitoring 1.2. Sources of Experimental Errors 1.3. How to Achieve Measurement Redundancy 2. Exploiting redundancy 2.1. Variable Classification 2.2. Benefits of Model Based Data Validation 3. Mathematical formulation of the validation problem 3.1. Data Validation for Steady State Systems 3.2. Solution...