Optimal irrigation scheduling combining water content sensors and remote sensing dataPhD: Mireia FontanetDirector: Daniel Fernández
This thesis aims to improve irrigation scheduling by combining different tools available at the present time. This combination aims to answer different kind of questions when irrigation scheduling in a field site must be defined. For this, each tool has been used and supported by others. In addition, this thesis will discuss when and how these tools might be employed
Lloc
Edifici C1, aula 002
Data inici
25/11/2019
Hora inici
11:30
Data final
25/11/2019
Hora final
13:30