Premium
Optimal Control of Irrigation Scheduling Using a Random Time Frame
Author(s) -
McGuckin J. Thomas,
Mapel Craig,
Lansford Robert,
Sammis Ted
Publication year - 1987
Publication title -
american journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.949
H-Index - 111
eISSN - 1467-8276
pISSN - 0002-9092
DOI - 10.2307/1241313
Subject(s) - irrigation scheduling , irrigation , sorghum , dynamic programming , scheduling (production processes) , agricultural engineering , computer science , acre , mathematical optimization , environmental science , mathematics , agronomy , agricultural science , engineering , biology
A dynamic programming model of irrigation scheduling is developed which accounts for stochastic weather conditions, results in simple irrigation decision rules, and can be operated on current microcomputers. The model employs heat unit intervals instead of chronological time to define the dynamic equations of the crop‐soil system. Procedures are outlined for estimating the transition probabilities of climate within the heat unit intervals. When compared to maximum yield irrigation scheduling, the model increases net returns of corn, sorghum, and cotton by $@@‐@@10.00 to $@@‐@@30.00 per acre.