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What is Azure Data Manager for Agriculture?

Azure Data Manager for Agriculture enriches the Microsoft Intelligent Data Platform by integrating specialized data connectors and features tailored for seamless incorporation of agricultural data from diverse sources. Leveraging high-quality datasets accelerates the creation of cutting-edge digital agriculture solutions, enabling you to focus on enhancing farming practices. The availability of accessible, premium agricultural data streamlines data management processes, allowing for a more efficient approach to innovation. With applications based on agronomic data, you can derive predictive insights that promote sustainable farming techniques. Harnessing the extensive array of farm data enables the development of solutions that enhance productivity, reduce risks, and improve decision-making across the agri-food value chain. Building trust among stakeholders is facilitated through the adoption of reliable farm data, all while benefiting from a secure and compliant cloud infrastructure, which ultimately strengthens the agricultural sector's resilience. This comprehensive strategy not only optimizes operational efficiency on farms but also fosters the long-term viability of food production systems, ensuring a sustainable future for agriculture. By embracing such data-driven approaches, the agricultural community can adapt to challenges and seize new opportunities effectively.

What is AiDash?

Our AI dashboard merges the functionalities of multiple data sources, customized AI models, and cognitive applications to deliver a unified enterprise solution. This cutting-edge strategy improves operational efficiency, tackles business obstacles, and promotes rapid returns on investment. AiDash skillfully leverages a wide array of data from various origins to present a thorough overview. By utilizing information from both satellite imagery and ground-level insights, our platform aggregates extensive data to produce valuable analyses. This effort also incorporates data collection through smartphones, vehicle-mounted devices, and handheld sensors to ensure real-time information gathering. We develop intelligent data sets by employing Artificial Intelligence techniques. Our AI algorithms are not only advanced and pre-trained but are also crafted for specific applications, allowing them to derive relevant insights from historical data while devising optimal strategies for operational and management teams. In addition, we emphasize the monitoring of vegetation growth along the Right of Way (RoW) for power lines, oil and gas pipelines, roads, and railways, which guarantees precise classification of assets and elements within the area of interest (AoI). This all-encompassing, data-driven methodology ultimately equips organizations with the capability to make well-informed decisions and apply effective solutions across different industries, thus fostering a more sustainable future.

Media

Media

Integrations Supported

ArcGIS
KLGAME
Microsoft Azure

Integrations Supported

ArcGIS
KLGAME
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1974

Company Location

United States

Company Website

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

Company Facts

Organization Name

AiDash

Company Location

United States

Company Website

www.aidash.com/platform

Categories and Features

Farm Management

Barcoding / RFID
Built-in Accounting
CRM
Contract Management
Crop Management
Customer Management
Financial Management
Greenhouse Management
Inventory Management
Labor Management
Livestock Management
Order Processing
Pricing Management
Supplier Management
Traceability
Weather Records

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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