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FarmBeats is a B2B PaaS offering from Microsoft that makes it easy for AgriFood companies to build intelligent digital agriculture solutions on Azure. FarmBeats allows users to acquire, aggregate, and process agricultural data from various sources (farm equipment, weather, satellite) without the need to invest in deep data engineering resources. Customers can build SaaS solutions on top of FarmBeats and leverage first class support for model building to generate insights at scale. Use FarmBeats client library for Python to do the following. * Create & update farmers, farms, fields, seasonal fields and boundaries. * Ingest satellite and weather data for areas of interest. * Ingest farm operations data covering tilling, planting, harvesting and application of farm inputs.
| Package | Summary | Distribution | Download |
| python313-azure-agrifood-farming-1.0.0b2-2.3.noarch.html | Microsoft Azure AgriFood Farming client library | OpenSuSE Tumbleweed for noarch | python313-azure-agrifood-farming-1.0.0b2-2.3.noarch.rpm |
| Microsoft Azure AgriFood Farming client library | python313-azure-agrifood-farming-1.0.0b2-2.3.noarch.rpm | ||
| python313-azure-agrifood-farming-1.0.0b2-2.3.noarch.html | Microsoft Azure AgriFood Farming client library | OpenSuSE Ports Tumbleweed for noarch | python313-azure-agrifood-farming-1.0.0b2-2.3.noarch.rpm |
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