Water is the most important element of food production, and the easiest and most cost-
efficient way to transport it is through open-channel irrigation systems (OCIS). These types of …

A stochastic model predictive control scheme is developed within the context of planning
water-level references for an automated channel. The references are provided as inputs to …

Machine learning techniques are employed to describe the temporal behavior of soil
moisture using meteorological data as inputs. Three different Artificial Neural Network …

Machine learning techniques are employed to describe the temporal behavior of soil
moisture using meteorological data as inputs. Two different models, a feedforward Artificial …

Randomised approaches, such as the scenario approach, are employed to approximately
solve robust optimisation problems with possibly infinite number of convex constraints. The …

This work proposes a Stochastic Model Predictive control (SMPC) for an irrigation canal with
uncertainties where a moving robot takes measurements across the canal considering …

Irrigation planning and management is vital in achieving food security. The water delivery to
many small farms at varying times can be difficult to manage. Deviations between the …

(English) This thesis is devoted to exploring existing research around modeling, control, and
estimation strategies in OCIS, in order to identify improvement opportunities and propose …