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Objectives of the service
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Farmers and agribusiness operators face the challenges of unpredictable weather patterns, resource constraints, and fragmented data. Our service merges satellite data from sources like Sentinel, real-time weather updates, and field-level inputs to deliver actionable insights that reduce guesswork. Color-coded dashboards clarify crop health, irrigation needs, and risk indicators, empowering users to act swiftly. This approach addresses the need for reliable, user-friendly solutions that minimize resource waste, strengthen yields, and meet sustainability goals.
The present activity integrates Earth observation with advanced analytics, ensuring seamless data flows and clear visual outputs for field supervisors, risk managers, and agronomists. The solution standardizes how raw satellite imagery, weather forecasts, and in-field observations converge into consistent, decision-ready information. It also secures cost-efficiency and scalability, allowing broad adoption without heavy new infrastructure. By clarifying data, removing technical complexity, and delivering immediate alerts, the service drives a shift toward proactive, data-driven farming practices, resulting in tangible benefits for agriculture.
Users and their needs
Currently, the solution targets contract farming organizations in Turkey, primarily involving field supervisors, agronomists, and risk managers who oversee daily farm operations. These users depend on timely, accurate data to reduce guesswork, optimize input usage, and respond quickly to weather shifts or crop stress events. Real-time satellite imagery and field logs enable swift decision-making, yet providing clear, actionable insights at scale remains a core challenge. Each user requires an intuitive interface to handle diverse data sets, all while ensuring connectivity in rural areas that may have limited internet access.
User needs include:
Easy-to-use dashboards for quick interpretation of crop health indices
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Reliable offline functionality for remote farm locations
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Seamless integration with existing farm management software
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Personalized alerts for anomalies or urgent field tasks
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On-demand access to historical data
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Complete digitalization of the agricultural operations
Addressing these challenges allows stakeholders to harness data-driven decisions that enhance yields, reduce resource waste, and move toward more sustainable agricultural practices.
Service/ system concept
Our solution delivers real-time satellite imagery and field data in one easy-to-use interface, giving farm managers and agronomists immediate insights into crop health, soil moisture, and potential issues like pest outbreaks. Users can access an online dashboard and mobile app to view color-coded maps, track weather forecasts, and set alerts for key growth stages or abnormal conditions. By merging multiple data sources—satellite images, local weather stations, and in-field observations—the platform turns raw information into practical recommendations.
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Space Added Value
Our solution leverages Earth Observation (EO) data from satellites like Sentinel-2 and Sentinel-1 to deliver precise, real-time insights for agriculture. By integrating these high-resolution images with weather and soil information, we produce color-coded crop health indices, identify moisture anomalies, and detect early stress signals in the field. This direct use of satellite data accelerates decision-making for tasks like irrigation scheduling, fertilizer application, and pest control, ultimately boosting yields and resource efficiency.
Space-based information adds exceptional coverage and frequency, capturing vast areas without the need for on-ground sensor installations. This is especially critical in remote or large-scale operations where physical field checks are costly or slow. Our approach also enhances the value of existing Copernicus services, transforming raw EO imagery into actionable results that farmers and agronomists can apply daily. By doing so, we provide a scalable and cost-effective alternative to more traditional field scouting techniques, underscoring how satellite data can support sustainable food production and climate resilience.
Current Status
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