Orchestra 
DIGITAL WORLD
BRICS+ Media Centre 
MODERN RUSSIAN 
New domestically developed system aims to enhance policy decisions, legal compliance and food security planning through advanced data analytics
Iran has launched the first phase of an artificial intelligence assistant designed to support strategic decision-making within the Ministry of Agriculture, marking a significant step in the country’s drive to integrate advanced technologies into public administration.
The project, led by a team of academic experts, introduces a smart analytical platform capable of processing laws, regulations and large-scale agricultural data to improve policy accuracy, reduce human error and strengthen national food security planning, as reported by IRNA, a partner of TV BRICS.
According to the project’s lead researcher, artificial intelligence represents a transformative technology with the potential to dramatically increase efficiency in governance and resource management. The new system has been developed to identify legal inconsistencies, assess the implications of proposed decisions and detect potential regulatory conflicts before policies are implemented.
One of the assistant’s core functions is the rapid analysis of decades of legislation. Within seconds, it can determine whether a proposed regulation conflicts with existing laws or overlaps with mandates from other government bodies. Each response is supported by precise references to legal articles and clauses, ensuring transparency and accountability in the decision-making process.
Beyond legal analytics, the AI platform incorporates satellite image processing to monitor cultivated land, identify crop types, estimate orchard and farm areas and forecast agricultural output. These capabilities are expected to provide policymakers with real-time, data-driven insights for production planning and resource allocation.
The system also features human resource analysis tools, enabling the ministry to assess workforce distribution, track expertise profiles, anticipate retirement trends and evaluate training needs. A dedicated management dashboard offers statistical reporting, problem identification and scenario-based recommendations.
Developers emphasised that the platform operates entirely on domestic hardware infrastructure, with all data processed and stored within the country. AI models are trained using national datasets, ensuring data sovereignty and secure deployment for government use.
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