TerraGrow: Integrated platform for real time plant monitoring and automated watering system with IoT and fuzzy Sugeno Algorithm
Year: 2025
Type: article
Abstract: Global water scarcity, climate variability, and rising input costs increase the need for precise, evidence based irrigation, yet many available systems are proprietary, expensive, and hard to adapt to diverse field conditions. TerraGrow is an open source, low cost platform that fuses real time soil and microclimate telemetry with a Sugeno type fuzzy controller to automate irrigation while keeping workflows transparent and reproducible. The system streams moisture, pH, temperature, and relative humidity to a lightweight IoT dashboard that supports remote supervision, alarms, and manual override, and it enforces practical safety limits on run time and duty cycle to support reliable field use. Bench and pot trials show predictable moisture to signal behavior that supports simple two point, site specific calibration, stable pH measurements across the agronomic range after buffer calibration, small and consistent temperature and humidity offsets relative to a reference instrument, and short repeatable actuation latencies dominated by deliberate settling windows rather than computation or networking. All firmware, configuration guides, wiring maps, and enclosure models are released under permissive licenses to lower barriers to replication and extension by researchers and growers working toward water efficient, climate resilient irrigation. This low-cost, open-source hardware can be reproduced and adapted for precision agriculture applications, particularly in small-scale or rural farming environments.
Source: HardwareX
Authors: Prima Wijayakusuma, Galang Persada Nurani Hakim, Bin Li
Institutions: Beijing Institute of Technology, Mercu Buana University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $610
OpenAlex ID: W4416731313