Data from: TerraGrow: Integrated Platform for Real Time Plant Monitoring and Automated Watering System With IoT And Fuzzy Sugeno Algorithm

Article title TerraGrow : Integrated Platform for Real Time Plant Monitoring and Automated Watering System With IoT And Fuzzy Sugeno Algorithm Authors Prima Wijayakusumaa, Galang Persada Nurani Hakimb, Bin Lia Affiliations a School of Integrated Circuits and Electronics, Beijing Institute of Technology, China b Department of Electrical Engineering, Faculty of Engineering, Universitas Mercu Buana, Indonesia Corresponding author’s email address [e-mail] Abstract Global water scarcity, climate variability, and rising input costs are pushing agriculture toward precise, evidence-based irrigation, yet many available systems remain proprietary, expensive, and difficult to adapt. TerraGrow is an open-source, low-cost controller that runs all sensing and closed-loop irrigation locally on a single ESP32 using real-time soil-moisture, pH, temperature, and humidity inputs with a Sugeno-type fuzzy policy. Its modular and ergonomic hardware with a printable enclosure, integrated pump driver, and labeled connectors allows non-experts to assemble, calibrate, and service the unit quickly in the field. Compared with earlier low-cost IoT irrigation nodes, TerraGrow’s novelty lies in fully local multi-sensor fuzzy control and an easy-to-deploy form factor supported by complete, reproducible design files. Yielding quantified gains in tests, soil moisture was held within a 60–80% band, enabled by precise sensing and a consistent hardware–firmware implementation. By combining local autonomy, simple deployment, and open documentation, TerraGrow makes practical precision irrigation more accessible to resource-constrained growers. Technical info Fig. 1. End‑to‑end layout of TerraGrow. Fig. 2. TerraGrow’s architecture diagram systems. Fig. 3. Sensing Unit. (A) Physical assembly and (B) Schematic. Fig. 4. Actuation Unit. (A) shows the physical layout in the top cap: ESP32 (U1), DMS (U2), DHT11 (S2), relay (K1), battery (B1), and the incoming moisture (S1) and pH (S3) harnesses. (B) shows the wiring schematic ESP32 GPIO drives the relay, the relay switches the pump through the NO contact, and all grounds join at the controller. This keeps high-current lines away from the analog part. Fig. 5. Build wiring overview. Fig. 6. TerraGrow operation instructions. Fig. 7. Blynk IoT dashboard configurations. Fig. 8. The proposed pseudocode of TerraGrow. Fig. 9. TerraGrow firmware programs flowchart. Fig. 10. Bench and field first-run setups. Fig. 11. Soil moisture vs ADC. Fig. 12. Temperature and Relative humidity DHT11 vs HTC-2. Fig. 13. pH response to buffer additions.