Integrated non-linear model for optimal cropping pattern and irrigation scheduling under deficit irrigation

Surfactant effect on forage yield and water use efficiency for berseem clover and basil in intercropping and limited irrigation treatments

“…In recent years, the focus is shifting towards increasing productivity efficiency within the constraints of available limited water resources. As such, deficit irrigation is becoming a possible option, i.e., in irrigating crops, reducing water requirements while minimizing the adverse effects of extreme water stress on crop yield (Garg and Dadhich, 2014). In addition, water loss by evapotranspiration is very high during the growing season in semi-arid regions.…”

Predicting Maize Transpiration, Water Use and Productivity for Developing Improved Supplemental Irrigation Schedules in Western Uruguay to Cope with Climate Variability

“…Aiming at supporting irrigation scheduling, the Stewart's model [12,[19][20][21] is largely used (e.g., [13,14] for maize). In recent years, the model was applied to a variety of crops [22][23][24] and maize [25][26][27]. Recently, that model was modified to relate yield with crop transpiration [28].…”

Optimal design of integrated agricultural water networks

“…Nevertheless, the simultaneous scheme could be a good strategy to optimize the water use in agriculture, the reported works have (Biazin et al, 2012;Moges et al, 2011;Oweis and Hachum, 2006). With respects to the optimal use of water, several methodologies have been proposed for improving the irrigation process through the optimization of irrigation scheduling (Garg and Dadhich, 2014;Naadimuthu et al, 1999;Pereira, 1999;Rao et al, 1988), the minimization of water losses during the irrigation process to increase the yield crop (Burke et al, 1999), the optimal geometric design of irrigation piping (Theocharis et al, 2006), the increment of the operating efficiency of reservoirs for irrigation (Moradi-Jalal et al, 2007), the evaluation of the crop yields in terms of the water use efficiency as well as the application of supplemental irrigation as function of soil water deficit (Xiao et al, 2007), the optimal allocation for the reuse of treated water (Bin et al, 2012), the multi-objective optimization of irrigation under uncertain conditions (Li and Guo, 2014), and the optimal design of irrigation processes through an evolutive strategy (Belaqziz et al, 2014).…”