Research area

Agro-Informatics

Information systems, knowledge management and data technology for agribusiness: ERP, blockchain traceability and IoT early warning.

Agro-Informatics

Overview

Agro-Informatics connects the rest of our work to the people who use it: enterprise and knowledge systems for cooperatives and communities, an ERP for the plant factory, blockchain traceability for rice and IoT early warning for village industry.

Our approach

Every project starts in the field: we sense what is happening, model what it means, and turn the result into decisions farmers and operators can act on.

Why it matters

What changesin the field.

87.8usability score (SUS, grade A+) of the rice traceability system
100%of 82 test scenarios passed on the blockchain platform
0.993R² of the PM2.5 sensor in the air quality early-warning system

What we do

Our work in agro-informatics.

Enterprise and decision support systems for cooperatives
Knowledge management systems
Blockchain traceability for supply chains
IoT early-warning and monitoring dashboards

Center projects

What we havebuilt and tested.

2 projects from the center's research portfolio. Open a slide to see the system, the setup and the results.

Smart coffee enterprise support system, Badung, Bali

A farmer-centred integrated database for a smallholder coffee cooperative, with a support-system pyramid from transactions to executive decisions, a cooperative dashboard and a knowledge-sharing architecture.

  • Activity traceable from farm to cooperative

Knowledge management system, Agrotechno Edu Park Sriharjo

Turns data into knowledge through a knowledge taxonomy and knowledge-gap measurement, piloted on irrigation modernisation.

  • Built with the community it serves
WithYanmarMinistry of Public Works and Housing

Student research

Theses thatmoved it forward.

3 undergraduate theses supervised at the center, with their methods, key results and research framework.

  • Plant factoryERPDecision support

    Plant factory records were scattered across notes, spreadsheets and chat. A Google Sheets and Apps Script ERP with a central database links eight modules: activity, orders, customers, visits, visitors, human resources, financial summary and dashboard.

    100%black-box test pass rate across all eight modules
    8integrated modules
    • Next: sensor integration through APIs and harvest forecasting

In practice

Agro-Informatics in practice.

Let's grow the futureof farming together.

Partner with our researchers, pilot smartagri on your fields, or join the team building data-driven agriculture.