Radiation-Driven Prediction of Daily Irrigation Demand under Different Electrical Conductivity Scenarios in Greenhouse Tomato
Authors: Xiao, L.
Category: Plant Biology
▶ AI Summary
This study developed a low-input model to predict daily irrigation demand for greenhouse tomatoes based on solar radiation, evaluating if adding irrigation-solution electrical conductivity (EC) improves accuracy. Results showed that a radiation-only model was highly effective, with EC providing only a small and scenario-dependent improvement. The proposed framework offers a practical tool for irrigation forecasting in soilless tomato cultivation, supporting integrated water-salt management.