The sensors introduced in the previous section can be deployed for dealing with an extended range of problems such as water management, which is a global concern, or region-specific problems, such as salinity, or studying plants' regional varieties. In this section, the most common remote sensing applications are classified into seven groups: water status studies, disease detection and control, yield mapping and prediction, nutrient management, phenotyping, soil and salinity studies, and other managerial practices. Some of these applications have gained more attention than others in nut crops. For instance, as shown in table 2, more than half of the papers (11 out of 20) focused on water status representing the significance and severity of water management problem in agriculture. On the other hand, only one paper studied disease detection and control, and one aimed at yield mapping and prediction. The rest of the papers focused on other managerial practices. The numbers might show the relative importance of the applications in nut orchards. However, according to the general purpose applications, an increase in the number of less common applications is anticipated . In the following, each application is reviewed in depth.
5.3. Yield mapping and prediction
 W. H. Maes and K. Steppe, “Perspectives for remote sensing with unmanned aerial vehicles in precision agriculture,” Trends in plant science, vol. 24, no. 2, pp. 152–164, 2019.