IoT-Assisted Hydroponic System for Andrographis paniculata: Enhanced Productivity and Pharmaceutical-Grade Quality

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Authors: Krit Funsian, Yaowarat Sirisathitkul, Pumiphat Khotchanakhen, Apiwit Bunta, Kanittha Srikwan, Kingkan Bunluepuech, Athakorn Promwee, Chih-Yi Chiu, Karanrat Thammarak
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References: 31

Abstract

This study presents an Internet of Things (IoT)-assisted semi-open hydroponic system for cultivating Andrographis paniculata under tropical conditions, aiming to enhance biomass productivity, andrographolide (AG) yield, and production efficiency. IoT-assisted hydroponics, non-IoT hydroponics, and soil-based cultivation were compared in 10 m2 greenhouses. The IoT system enabled real-time monitoring and adaptive regulation of temperature, relative humidity, light intensity, nutrient solution pH, and electrical conductivity (EC). IoT-assisted hydroponics achieved earlier harvest (≈90 days) and the highest fresh biomass yield (0.409 ± 0.014 kg m−2) while maintaining per-plant productivity (15.74 ± 0.54 g plant−1) comparable to soil-based cultivation. Andrographolide concentration reached 25.58 ± 3.36 mg g−1 DW (2.56% w/w), meeting pharmacopeial requirements. Owing to stable environmental regulation and tolerance to high planting density, the IoT system produced the highest areal AG productivity (209.5 mg m−2), representing a four- to tenfold increase over the other systems. Despite higher operational costs, IoT-assisted hydroponics achieved the lowest AG unit cost (≈6.77 USD g−1). While most previous studies emphasize tissue-level AG concentration, system-level productivity and cost efficiency under realistic cultivation conditions remain insufficiently explored. Overall, IoT-enabled semi-open hydroponics provides a scalable and economically viable approach for medicinal plant production, bridging the gap between open-field cultivation and fully controlled plant factory systems.

Fields of Study & Subjects

Innovations in Aquaponics and Hydroponics Systems Plant Growth and Agriculture Techniques Smart Agriculture and AI

Publication details

Journal / source
IoT
Volume
7
Issue
1
Pages
28–28
Publication date
10 March 2026
Language
EN