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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Azure Data Manager for Agriculture enhances the Microsoft Intelligent Data Platform by incorporating specialized data connectors and functionalities tailored for the agriculture sector, enabling seamless integration of farm data from various sources. By utilizing premium datasets, developers can expedite the creation of innovative digital agriculture solutions. This access to readily available and reliable farm data alleviates data management burdens, allowing teams to concentrate on fostering innovation instead. Applications developed using agronomic data can deliver predictive insights and support sustainable farming practices. By tapping into rich farm data, organizations can devise solutions that boost productivity, minimize risks, and facilitate informed decision-making throughout the agri-food value chain. Moreover, high-quality farm data fosters trust among stakeholders and is supported by a cloud infrastructure that prioritizes security and compliance. Ultimately, this approach ensures that agricultural advancements are both effective and responsible, paving the way for a more sustainable future in farming.

Description

Microsoft Graph serves as the essential link for organizations to access Microsoft 365 data, focusing on productivity, identity, and security. The Microsoft Graph Data Connect feature allows developers to securely and efficiently transfer selected Microsoft 365 datasets into Azure data stores. This functionality is particularly beneficial for training machine learning and AI models that can derive valuable insights for enhanced analytics solutions. Developers can easily copy large volumes of data from a Microsoft 365 tenant directly into Azure Data Factory without needing to write any code. This streamlined process ensures that organizations can obtain the required data, delivered to their applications on a regular schedule, with just a few straightforward steps. Furthermore, the Microsoft Graph Data Connect includes a granular consent model that empowers organizations to manage how their data is accessed. This model mandates that developers clearly define the specific data types or content filters their applications will utilize. Additionally, administrators are required to provide explicit consent before any access to Microsoft 365 data is permitted, ensuring a secure and controlled environment for data handling. In this way, organizations can effectively leverage their data while maintaining strict oversight and compliance.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Microsoft Azure Yes 
Microsoft 365 No 
Sharpr No 

Integrations

Microsoft Azure Yes 
Microsoft 365 Yes 
Sharpr Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$0.75 per 1K objects extracted
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1974

Country

United States

Website

azure.microsoft.com/en-us/products/data-manager-for-agriculture

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/graph-data-connect/

Product Features

Farm Management

Barcoding / RFID No 
Built-in Accounting No 
CRM No 
Contract Management No 
Crop Management No 
Customer Management No 
Financial Management No 
Greenhouse Management No 
Inventory Management No 
Labor Management No 
Livestock Management No 
Order Processing No 
Pricing Management No 
Supplier Management No 
Traceability No 
Weather Records No 

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