Scientific Irrigation Scheduling for Sustainable Production in Olive Groves

The present study aimed at investigating scientific irrigation scheduling (SIS) for the sustainable production of olive groves. SIS allows farmers to schedule water rotation in their fields abate crop stress and maximize yields, which could be achieved through precise monitoring soil moisture. For this purpose, used three kinds moisture sensors, including tensiometer irrometer gypsum blocks measurement These sensors were calibrated by performing experiments field laboratory Barani Agricultural Research Institute, Chakwal 2018 2019. calibration curves obtained gravimetric analysis 0.3 0.6 m depths, thereby equations developed using regression analysis. coefficient determination (R2) depth tensiometer, irrometer, was found equal 0.98, 0.98; 0.75, 0.89; 0.82, 0.95, respectively. After that, a drip system installed with groves as compared conventional farmer practice, profiles these investigate SIS. results showed that sensor performed expected contributed savings between 17% 25% 2019, respectively, reducing number irrigations toother practices. Additionally, yield efficiencies 8% 9%were observed outcome suggests an effective method providing enhancing efficiency.