Functions
Field Monitoring, Crop Management, Predictive Analytics
Teсhnologies
AI, Machine Learning, GeoSpatial, Satellite Data, Predictive Modeling, IoT
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Objective:
To develop a comprehensive digital mapping and agricultural operation tool to enhance farm management from planning and execution to adjusting practices based on real-time data analytics.
Interesting Facts:
Solution services a wide range of clients, including plant growers, cooperatives, agri-holdings, government agencies, and insurance companies, simplifying agricultural complexities.
Incorporates a service that calculates plant condition characteristics throughout the growing season using a built-in AI model.
Solution:
- Dynamic Agricultural Modeling: Utilizes geo-referenced soil and weather data to generate accurate, predictive analytics for farming decisions.
- Yield Forecasting and Crop Management: Employs AI for assessing crop area structure and rotation, automated yield forecasts, and quality assessments.
- Comprehensive Data Collection: Gathers satellite, climate, soil, economic, and personal data to support decision-making tools for agronomists and managers.
Architecture and Integration of the Proposed Solution:
The solution's architecture hinged on a robust data pipeline, incorporating PowerBI for analytics visualization, PostgreSQL for database management, NiFi for data flow automation, Python for data processing and ML, and Airflow for orchestrating workflows. This system is interconnected with SAP S4 for enterprise resource planning.
Results:
- Increased Efficiency and Savings: Demonstrated potential savings and increased financial margins by optimizing crop rotations and forecasting yields with high accuracy.
- Precision and Adaptability: Achieved a forecasting accuracy of up to 99.6%, supporting over 2000 fields and multiple crops.
- Integrated Farm Management: Provided a unified platform for data analysis, risk management, and operational planning, integrating seamlessly with existing solutions and IoT devices.
Conclusion:
IT solution represents a significant advancement in digital agriculture, offering precision farming services that improve productivity, reduce errors, and enhance crop quality. With its robust predictive analytics and comprehensive data integration, empowers farmers and agricultural businesses to make informed decisions, ensuring sustainability and profitability in the competitive agriculture industry.
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