A study indexed by PubMed in June 2026 evaluates a low-cost fuzzy-logic irrigation controller for vineyards in a semi-arid region of Iran. The prototype used soil moisture, air temperature and a light-based solar-radiation index, with a rainfall gate to avoid unnecessary watering. Pump activation was derived from the calculated irrigation duration.
The control lesson
Solar pumping already changes with irradiance, but water demand changes for different reasons. A controller that only follows panel power can run when the crop does not need water; a controller that only follows a timer can ignore weather and soil conditions. Combining demand signals with available solar energy creates a more deliberate operating schedule.
The study was a pilot and should not be treated as proof that one controller fits every crop, climate or pump. Buyers should ask how sensors are calibrated, what happens when a sensor fails, whether the pump has dry-run protection and how operators can override an automatic decision.
This is independent research, not an Aquasolar product claim. Read the PubMed record, checked 10 August 2026.
