Abstract:
Farms, both public and private, make up the largest irrigated crop in Saudi Arabia by surface area. Although there have been improvements in sprinkler head technology and weather assimilation, state-of-the-art irrigation systems do nothing to adjust for heterogeneous terrain or varying crop environments. In this work, a computationally lightweight soil moisture movement model is developed, which allows the computation of optimal irrigation valve scheduling using standard optimization techniques. A prototype sensor system is produced with the ability to sense local soil moisture conditions, wirelessly communicate, and independently actuate based on the optimal schedule is centrally computed. This prototype could then be deployed to control a parallel irrigation systems covering a total of more than 10,000 ft2. It is shown that crop health can be maintained by using the topography of the space to take advantage of runoff to provide improved coverage while using an average of 23.4% less water. We also show that the initial capital and operating costs of our system could be amortized by our water savings in 13 months while maintaining and/or improving quality of irrigation and crop health.
