Food and nutrition security in Southeast Asian countries still relies mostly in small-scale farming systems that are in vulnerable areas and prone to various abiotic and biotic stresses. Biotic stress management remains to be one of the main challenges for researchers as it requires combination of accurate estimates of production and seasonal attainable yields to the complex spatial interaction of pest and disease between fields at farm and landscape level. Modelling is a useful research tool that can help research to detangle key determinants of productivity under stresses. It supports decision making tool models to generate valuable specific information to improve farming systems productivity and its impact at different scale from the field, to the region, and to the country. The project hopes to bring together four (4) research and education institutes from Southeast Asia and the Pacific to demonstrate the potential of data generation through modelling platform. It envisions to build the capacity of agriculture researchers in using data from different sources, and in providing access to modelling and data analytics tools. Moreover, the project focuses on the development of a tool called AgPractices&Domains that aims to target integrated pest and disease management options in rice-based cropping systems. Researchers and students will be engaged through workshops and webinars on data modelling, data analytics tools, and on the use of AgPractices&Domains platform.

In partnership with the Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), and the local partner universities from Myanmar (University of Computer Sciences Yangon, UCSY) and Philippines (University of the Philippines Los Baños, UPLB), the project will develop cloud-based AgPractices&Domains platform for network of researchers that can carry out rice cropping systems monitoring and evaluation with the use of combined survey and data modelling tools as well as provide a community of practice that will facilitate learning and exchanges between partners and countries of the project. The platform targets to reach at least 50 direct users and potential trainers who will support network of users in their respective institute, and around 200 users accessing the platform. The AgPractices&Domains platform will strengthen the National Research and Education Networks' (NRENs) Asi@Connect as well as accelerate information dissemination in the region that supports R&D for rice crop farmers' adaptation to climate variability, and promotion of integrated pest and disease management.

Food and nutrition security in Southeast Asian countries still relies mostly in small-scale farming systems that are in vulnerable areas and prone to various abiotic and biotic stresses. Biotic stress management remains to be one of the main challenges for researchers as it requires combination of accurate estimates of production and seasonal attainable yields to the complex spatial interaction of pest and disease between fields at farm and landscape level. Modelling is a useful research tool that can help research to detangle key determinants of productivity under stresses. It supports decision making tool models to generate valuable specific information to improve farming systems productivity and its impact at different scale from the field, to the region, and to the country. The project hopes to bring together four (4) research and education institutes from Southeast Asia and the Pacific to demonstrate the potential of data generation through modelling platform. It envisions to build the capacity of agriculture researchers in using data from different sources, and in providing access to modelling and data analytics tools. Moreover, the project focuses on the development of a tool called AgPractices&Domains that aims to target integrated pest and disease management options in rice-based cropping systems. Researchers and students will be engaged through workshops and webinars on data modelling, data analytics tools, and on the use of AgPractices&Domains platform.

Generally, the AgPractices&Domains platform will serve as an application will help researchers to collect data on rice cropping systems, and access modelling and data analytics tools to estimate climatic and pest and disease risk. Moreover, it will act as a one stop shop for researchers in the evaluation of the impacts of practices, changes in managing risks, and in defining domains where these risks are of high priorities and require closed monitoring.

The application will have two panels for inputs and outputs.

The key deliverables of the project are as follows: