Oracle has unveiled a new AI-powered solution aimed at providing governments with real-time data and actionable insights into agriculture performance and crop production.

The system, known as Oracle Government Data Intelligence for Agriculture, forms part of Oracle's Digital Government Suite. It is designed to address food system resiliency by harnessing cloud computing, artificial intelligence, and secure infrastructure to help public sector organisations monitor, predict, and respond to issues that have the potential to impact food security.

Aggregating data sources

Built on Oracle Cloud Infrastructure, the solution brings together a variety of large-scale data sets. Data inputs include satellite imagery, weather data, soil information, historical crop records, and both proprietary and government datasets. By aggregating this information, the system provides governments with a comprehensive view of the many variables that affect crop yields and agricultural distribution.

AI models underpin the analytical capabilities of the application. These models help forecast crop yields, detect emerging threats such as disease or adverse weather, simulate the impact of potential interventions, and quantify overall risks. The resulting insights aim to inform decision makers on matters such as resource allocation, strategy development, and long-term agricultural planning.

"Food security is a global challenge that impacts all nations," said Mike Sicilia, CEO, Oracle. "With current advances in cloud computing, AI, and satellite technology, we can completely transform agriculture operations to support more predictable outputs. Oracle Data Intelligence for Agriculture brings these elements together in one secure system to help nations get the visibility and predictive insights they need to proactively drive greater food system resiliency."

Dashboards and automated alerts

The dashboards provided by the solution deliver real-time visibility into agricultural progress against national or regional goals. Policymakers and administrators can track yield data and other key metrics in detail, allowing for swift identification and response to potential problems such as harvest shortfalls or surpluses.

Automated alerts within the platform serve to highlight emerging risks, enabling government teams to develop, test, and implement threat response or intervention plans. Any actions taken and their outcomes are fed back into the system to refine the predictive models and improve recommendations for future events.

Supporting policy and risk mitigation

Paula Ingabire, Minister of ICT & Innovation for Rwanda, highlighted the potential impact of such technology for governments facing significant food security challenges.

"We believe technology holds the key to helping Rwanda address some of our largest societal issues," said Hon. Paula Ingabire, Minister of ICT & Innovation, Rwanda. "Working with Oracle, we are looking at how AI-enabled solutions like Agriculture Data Intelligence can provide vital insights to help us forecast crop production and support better, more timely decisions that can build a more resilient food system for our people."

The application is intended for use by government teams focused on threat assessment, food security monitoring, and developing response strategies. By providing a consolidated view of agriculture data within secure dashboards, the solution enables officials to conduct more detailed analysis of risks and potential disruptions to supply chains or production.

Part of a wider suite

Oracle Government Data Intelligence for Agriculture is one offering within the wider Oracle Digital Government Suite, which provides a range of cloud, AI, network, and application tools for government digital transformation. This suite is positioned as a means for governments to address complex challenges by leveraging modern technology designed for reliability, scalability, and security.

The new agriculture data solution is currently available and is intended to assist agencies in strategic planning, resource prioritisation, and implementation of risk mitigation strategies in the agricultural sector.

Source - https://securitybrief.com.au