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https://www.ishs.org/ishs-article/807_33
The software includes a complete, web based, Decision Support System (DSS) that consists of an expert planner for farm zoning (MOPECO) and a universal irrigation scheduler, based on crop-water stress models (UNIPI) and water and nutrient uptake calculations.
https://www.researchgate.net/publication/40790758_Decision_support_for_optimised_irrigation_scheduling
The software includes a complete, web based, Decision Support System (DSS) that consists of an expert planner for farm zoning (MOPECO) and a universal irrigation scheduler, based on crop-water ...
https://actahort.org/books/807/807_33.htm
The software includes a complete, web based, Decision Support System (DSS) that consists of an expert planner for farm zoning (MOPECO) and a universal irrigation scheduler, based on crop-water stress models (UNIPI) and water and nutrient uptake calculations.Cited by: 5
http://www.geomations.com/GR/SigrimisDSS_ISHSAntalya_Fullpaper6pg.pdf
nutrient solution are available, a decision support system (DSS) based on these nutrient uptake models can be developed. This system provides a tool for better management of irrigation systems with the aim to save water and nutrients and to reduce environmental impact (Sigrimis et al ., 2001, Ferentinos et al 2003, Anastasiou et al 2005).
https://www.ars.usda.gov/ARSUserFiles/3495/49.%20agronomy-09-00686.pdf
Decision Support System for Irrigation Scheduling (DSSIS) Framework As a key component of the newly developed decision support system for irrigation scheduling (DSSIS), the RZWQM2 model served as the engine in making irrigation scheduling decisions.
http://core.ac.uk/display/29250586
The software includes a complete, web based, Decision Support System (DSS) that consists of an expert planner for farm zoning (MOPECO) and a universal irrigation scheduler, based on crop-water stress models (UNIPI) and water and nutrient uptake calculations.
https://www.researchgate.net/publication/336836006_A_Model-Based_Real-Time_Decision_Support_System_for_Irrigation_Scheduling_to_Improve_Water_Productivity
Decision Support System for Irrigation Scheduling (DSSIS), based on water stresses predicted by an agro-hydrological model, was constructed and ev aluated. The DSSIS employed the Root Zone Water...
https://www.icid.org/wif2_full_papers/wif2_w.3.1.06.pdf
2nd World Irrigation Forum (WIF2) 6-8 November 2016, Chiang Mai, Thailand W.3.1.06 1 AN OPTIMIZED, REAL TIME DECISION SUPPORT SYSTEM FOR BASIN SCALE IRRIGATION SCHEDULING Terry van Kalken1, Craig Mackay2, Nachi Nachiappan3, Henrik Madsen4 and AnneKatrine V. Falk5 ABSTRACT
http://www.figaro-irrigation.net/fileadmin/user_upload/figaro/docs/Haifa_7_Optimal_and_sub-optimal_irrigation_scheduling_using_AquaCrop_-_Rafi_Linker.pdf
Optimal and Sub-Optimal Irrigation Scheduling using AquaCrop. Decision Support System Engine Crop model Expected weather Water quotas Soil data Prices DSS Optimization procedure Optimal irrigation ... What should be optimized? Approaches for computation of optimal and sub-
https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/irrigation-scheduling
Jul 15, 2005 · Irrigation scheduling can be defined as “the process of determining when to irrigate and how much water to apply, based upon measurements or estimates of soil water or water used by the plant” (ASABE, 2007). The method of estimating irrigation scheduling depends on either soil or plant monitoring or soil water balance estimates.
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