Evidence map›Paper›PMID 41377110›Full record

ArticleHardwareX2025

TerraGrow: Integrated platform for real time plant monitoring and automated watering system with IoT and fuzzy Sugeno Algorithm.

Prima Wijayakusuma, Galang Persada Nurani Hakim, Bin Li

Erratum issuedAbstract read
In one paragraph

Article in HardwareX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Prima WijayakusumaBeijing Institute of Technology, China.
Galang Persada Nurani HakimUniversitas Mercu Buana, Indonesia.
Bin LiBeijing Institute of Technology, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 lets non-experts 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 and reproducible design files. Bench and greenhouse tests showed stable moisture regulation and reduced unnecessary watering, enabled by precise sensing and a consistent hardware and firmware implementation. By combining local autonomy, simple deployment, and open documentation, TerraGrow makes practical precision irrigation more accessible to resource-constrained growers.

Indexed as

ESP32Fuzzy Sugeno controlInternet of Things (IoT)Smart irrigationSoil moisture and pH sensingWireless Sensor Networks (WSN)

Identifiers

PMID41377110
PMCPMC12689219

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.