Enabling the easy management and access to raw and processed incoming data pipelines for structured and unstructured agri-data sources
A critical challenge for the agriculture industry has been the effective management of the volume and variety of relevant farming management and advisory data sources on and off the field.
Cropin Data Hub addresses this by structuring agri-data through an agri-object model, which enables it to interface with all agri-data sources such as in-field farm management apps, IoT devices and drones, mechanization data from farming equipment, remote sensing satellite information and weather advisory sources. It can help cut down data engineering efforts by upto 80% for organizations & enterprises that need to build similar data integrations for intelligent insights on their own.
The Cropin Data Hub also has pre-built advanced data frameworks designed to solve the most common and constantly challenging problems in agriculture remote monitoring, such as cloud-free satellite imagery, boundary-detection of farm plots, segmentation of land use, and so on. It enables combining enterprise, agronomy, & remote field data with Cropin’s Crop Intelligence models and datasets to surface significant insights and value for the business while sparing the need to expend critical resources on re-inventing the wheel.
Processed data inputs with meta-data to solve for search and query needs.
Aggregate data from various sources across applications, IoT devices, weather, and earth observation data amongst others.
Contextual custom reports and visualizations are available on OLAP for easy access and use.
Cropin Data Hub is a unified platform that simplifies managing structured and unstructured agri-data, cutting data engineering efforts by up to 80% while delivering actionable insights for agri-businesses.
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