How to Install and Uninstall python312-azure-agrifood-farming Package on openSuSE Tumbleweed

Last updated: November 08,2024

1. Install "python312-azure-agrifood-farming" package

Please follow the instructions below to install python312-azure-agrifood-farming on openSuSE Tumbleweed


    
        
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                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python312-azure-agrifood-farming
            
                    
    
    Copied

2. Uninstall "python312-azure-agrifood-farming" package

Please follow the step by step instructions below to uninstall python312-azure-agrifood-farming on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python312-azure-agrifood-farming
            
                    
    
    Copied

3. Information about the python312-azure-agrifood-farming package on openSuSE Tumbleweed

Information for package python312-azure-agrifood-farming:
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Repository : openSUSE-Tumbleweed-Oss
Name : python312-azure-agrifood-farming
Version : 1.0.0b2-1.7
Arch : noarch
Vendor : openSUSE
Installed Size : 7.0 MiB
Installed : No
Status : not installed
Source package : python-azure-agrifood-farming-1.0.0b2-1.7.src
Upstream URL : https://github.com/Azure/azure-sdk-for-python
Summary : Microsoft Azure AgriFood Farming client library
Description :
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.