Variable rate irrigation using remote sensing and Fuzzy control system

Abstract

The implementation of fuzzy logic decision support system was successful to develop prescription maps for VRI with central pivots. However, a broader and commercial application will depend on the integration of data collection systems, management strategies, and hardware control. In other words, the fuzzy logic model performed as expected, providing excellent results. However, the reliability of data sources (NDVI, surface soil water, and canopy temperature) to develop a reliable prescription map is the scope of future study. The future study will focus on the field implementations and determine whether any additional data (different types of data, high quality data, and/or more frequent data) will be required for developing the map.