Monitoring of irrigation systems using genetic algorithms

In this paper we will present an application, which uses genetic algorithms, which predicts the necessary quantity of water used to irrigate a crop. We will interpret the results from the humidity sensors, in order to obtain a better production value at the end of each day. The application is designed for a casual sized crop. We will present results obtained for days from different seasons, as well as results obtained for a different number of humidity sensors. We will not use a classic genetic algorithm. This particular form will not use the cross-over function.