Idea Number One
Goals of the Unified Digital Agriculture Platform
1. Sustainable agricultural development and food security. Integration of digital solutions to increase productivity, competitiveness, governance quality, support for industry participants, product quality, and food security in accordance with Russia’s Food Security Doctrine, while also ensuring long-term and forward-looking development in the digital transformation of the agro-industrial and fisheries sectors of the Russian Federation.
2. A unified digital platform. Creation of a platform that provides operational and integration mechanisms, master and reference data management, processing, analytics, modeling, and forecasting mechanisms, thereby establishing an ecosystem foundation for the agro-industrial sector.
3. Development of agricultural human capital. Ensuring sustainable development of workforce capital and capability in the agro-industrial sector by providing access to knowledge, methodologies, technologies, and tools for upskilling.
Tasks Required to Achieve the Goal of Creating the Unified Digital Agriculture Platform
To achieve the goal of sustainable agricultural development and food security, the following tasks must be solved:
1. Create a unified information space for interaction among all participants, providing centralized access to data and its analysis:
- Develop the architecture of a central data warehouse for the Unified Digital Agriculture Platform, providing centralized manual and automatic data collection, storage, and processing, including a domain data architecture and a namespace mechanism for logical data organization;
- Integrate external and internal information systems and deploy analytics and visualization tools.
- Ensure data protection and access management.
2. Improve data quality and the reliability of calculated indicators through centralized storage and automated processes for data verification and updating:
- Automate data validation, updating, and cleansing.
- Create analytical modules for anomaly monitoring.
- Provide access to historical data and versioning.
3. Ensure accurate trend forecasting and target-attainment planning based on current data by implementing predictive analytics mechanisms built on machine learning and artificial intelligence, as well as plan-vs-actual, factor, cluster, and associative analysis of sector indicators:
- Deploy predictive analytics, scenario modeling, and automated analysis of sector metrics.
- Create convenient interfaces for access to forecasts and analytics.
4. Increase the speed of response and decision-making by automating notifications to information-exchange participants about various events:
- Automate participant notifications about events through multichannel alerts.
- Configure event-based notification triggers.
5. Reduce information-security risks through centralization and unification of standard infrastructure functions:
- Centralize protection functions and implement encryption, multi-level authentication, and access control.
- Create a threat monitoring and access-control system.
To achieve the goal of creating a platform that provides operational and integration mechanisms, master and reference data management, processing, analytics, modeling, and forecasting, and that forms an ecosystem foundation for the agro-industrial sector, the following tasks must be solved:
1. Create a single integration point between the systems of the Ministry of Agriculture of Russia and the information systems of other agencies for end-to-end data exchange and the prevention of duplicate information:
- Implement an integration gateway and synchronize data to prevent duplication.
- Develop the data-exchange architecture.
- Set up monitoring for incoming data quality.
2. Ensure the unity of reference data (MDM/reference data) used in the systems of the Ministry of Agriculture of Russia, the Federal Agency for Fishery, and Rosselkhoznadzor:
Develop a unified registry of reference data and normalize classifiers and directories.
- Automate updates and API-based access.
- Implement change-control and data-audit mechanisms.
- Automate complex information-processing workflows:
- Create a business-process modeling subsystem.
- Deploy real-time data-management tools.
- Integrate systems to support end-to-end processes.
3. Reduce time and resource costs through automation of complex information-processing workflows:
- Create mechanisms for automatic data registration via API.
- Implement format-and-logic validation methods and models (FLK) at the moment of data entry to minimize errors and eliminate the need for later correction.
- Implement automatic data prefill based on previous inputs and templates, reducing the need for manual data entry.
- Integrate mobile and web applications to simplify access to the Unified Digital Agriculture Platform and make data entry as convenient as possible for users.
- Develop a visual business-process modeling subsystem with low-code/no-code functionality to simplify process creation and adaptation.
- Deploy tools for automation and management of information flows, as well as the system’s functional capabilities at all levels of information processing.
- Ensure integration with internal and external systems for end-to-end processes and real-time data exchange.
4. Ensure data transparency and develop decision-support mechanisms for regional agricultural authorities by providing them access to federal data on the status of their regions:
- Provide real-time access to federal data.
- Develop analysis and visualization tools tailored to regional authorities.
- Organize data collection and update procedures to improve data quality.
To achieve the goal of ensuring sustainable development of agricultural human capital and capability by providing access to knowledge, methodologies, technologies, and tools for upskilling, the following is required:
5. Raise the educational level of agricultural participants, regional agricultural management staff, and subordinate institutions of the Ministry of Agriculture of Russia:
- Develop a system for storage and cataloging of training materials.
- Integrate with educational and research institutions.
- Introduce tools for knowledge sharing and access to current research.
- Create collaboration modules for specialists.