16 Sep 2021 3:05 PM

The project is envisioned to contribute to solving the growing lack of interest of the Filipino youth in agriculture which may have long term effects in food security in the country. The project’s primary goal is to encourage the Filipino youth to consider taking up areas of study and research, and eventually career paths, that would lead to the fusion of information and communications technology (ICT) and agriculture. Through innovation in this fusion, we will be able to ensure our future generation’s food security.


About Project GUL.AI

The Project is a research and development project conceptualized and proposed by the Computer Software Division’s (CSD) Research and Development group. The project aims to promote to the Filipino youth the study and practice of agriculture and crop science, and its fusion with Information and Communications Technology (ICT), through the implementation of a portable and automated phenotyping platform. It is designed to showcase the application of Internet of Things (IoT) technologies to phenotyping of plants through remote and automated operation of the platform. It will also showcase the application of Artificial Intelligence (AI) and statistical analytical methods to the analysis of the generated multivariate datasets from the phenotyping platform. The output of such analysis may be used to generate plant growth models. Through experimentation using the platform, users will be able to identify ideal plant-growing conditions for specific plants.





  • To construct prototype instances of the platform
  • To develop an online information management system for managing datasets generated from distributed instances of the platforms
  • To develop a mobile application for the remote monitoring and management of the platform
  • To conduct validation activities with partner agencies


Functionalities Developed

Phenotyping Platform Component

The phenotyping platform component of the system is composed of the hydroponics module, the computer box module, and the peripherals. As of December 2019, the project team was able to develop the Prototype Version 1.0 of the hydroponics module. It is composed of a modified off-the-shelf container box that is fitted with plant-growing buckets and sensor holders.

Web Application Component

The web application component of the system is composed of functionalities that users can use to visualize the datasets generated by their platform instance. In 2019, online web services for the submission and remote storage of periodically generated platform datasets were created by the development team. The web application will be the interface of the users to the system for viewing the status of their ongoing and previous experiments.

Mobile Application Component

A mobile application will be paired by users to their platform instances. Using the mobile application, users can monitor the status of their platform instances, define experiment profiles, execute experiments using these profiles, and monitor their experiment’s status. In 2019, the development team was able to design the user interface for the mobile application component of the system. Users will be able to pair their mobile application with one or more platform instances. They will also be able to monitor their platform instances remotely via the app.