Chronological assessment of heuristic data driven approaches for soil water content simulation in subsurface drip irrigated rice.

Accurate estimation of soil water content (SWC) is essential for effective agriculture and water resources management. While various methods have been developed for in-situ SWC measurement, practical limitations and the need for comprehensive water sensor networks make their use complicated. To overcome these challenges, heuristic data-driven models may provide a suitable alternative to practical methods for SWC simulation under different cultivation conditions.

Analysis of the Variability in Soil Moisture Measurements by Capacitance Sensors in a Drip-Irrigated Orchard.

Among the diverse techniques for monitoring soil moisture, capacitance-type soil moisture sensors are popular because of their low cost, low maintenance requirements, and acceptable performance. However, although in laboratory conditions the accuracy of these sensors is good, when installed in the field they tend to show large sensor-to-sensor differences, especially under drip irrigation. It makes difficult to decide in which positions the sensors are installed and the interpretation of the recorded data.