Agricultural and Environmental Implications of Information-Driven Irrigation Scheduling: Insights from a Field-Scale Study with a Gravelly Loam Soil in South Florida
Young Gu Her, Sandra Guzmán, Ashley Smyth, Laura Vasquez, Qingren Wang, and Yuncong Li
This article presents findings from a study (Song et al. 2022) that investigated how irrigation scheduling methods using soil moisture sensors and estimates of water loss from soil and plants (i.e., evapotranspiration) can conserve water and reduce nutrient loss while maintaining or even improving crop productivity in south Florida. The insights gained are intended to help farmers, homeowners, and Extension agents better understand the benefits of information-driven irrigation scheduling and adopt an evidence-based practice for improved agricultural productivity and environmental sustainability. Written by Young Gu Her, Sandra Guzmán, Ashley Smyth, Laura Vasquez, Qingren Wang, and Yuncong Li, and published by the UF/IFAS Department of Agricultural and Biological Engineering, March 2026.