Litcius/Paper detail

Plant-Driven Precision Irrigation in Aeroponics: Real-Time Turgor Sensing for Sustainable Lettuce Cultivation

Panagiotis Karnoutsos, Dimitrios Katsantonis, Anna Gkotzamani, Αθανάσιος Κουκουνάρας, Thomas Α. Kotsopoulos, Xanthoula Eirini Pantazi, V.P. Fragos

2025Agriculture5 citationsDOIOpen Access PDF

Abstract

The narrow margin for irrigation error in aeroponics necessitates advanced control strategies beyond fixed timer-based approaches. This study evaluates a plant-driven irrigation method based on real-time leaf turgor feedback in aeroponic romaine lettuce (Lactuca sativa L. var. longifolia) cultivation. A leaf thickness–turgor sensor was interfaced with an Arduino Mega 2560 to activate misting events dynamically. Two identical aeroponic systems were operated in a fully controlled environment: a conventional timer-based control (TC) system applying mist every 10 min and an Arduino-controlled (AC) system triggered by turgor changes. Over two independent 37-day cultivation cycles, the AC strategy reduced total water use by an average of 15.9% and pump activations by 17.2% while improving water use efficiency by 17.8% and nutrient use efficiency for N, P, and K by an average of 17.8%, with no statistically significant differences in shoot biomass, height, or yield. Although root dry weight was significantly higher under TC, the AC treatment led to a 45.0% reduction in leaf nitrate accumulation and non-significant increases in phenolic content. These findings demonstrate the potential of turgor-responsive irrigation for enhancing sustainability, resource use efficiency, and the quality of produce in aeroponic systems, thereby supporting its broader integration into controlled-environment agriculture (CEA).

Topics & Concepts

Turgor pressureIrrigationHydroponicsAgronomyEnvironmental scienceGreenhouseIrrigation schedulingMistNitrateWater-use efficiencyShootFertigationAgricultural engineeringHorticultureNutrientWater useSustainable agricultureDrought toleranceAgricultureMathematicsBiologyEvapotranspirationDry weightPostharvestSmart Agriculture and AI