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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Land Tender empowers decision-makers at various levels to evaluate and respond to risks affecting communities and ecosystems in almost real-time while identifying opportunities to enhance ecosystem advantages. It leverages reliable data at the tree or household level, all presented through an intuitive management interface that accurately reflects on-ground realities. Users can create and analyze an unlimited number of scenarios, tailoring them according to specific objectives and constraints, and simulating outcomes over time. Plans can be monitored and adjusted based on the results of treatments as well as shifts in conditions or goals. The platform facilitates collaboration and fosters quick consensus by enabling users to share scenarios and visualize both similarities and differences effectively. Land Tender offers unmatched transparency regarding the data, modeling, and scientific consensus that inform the best approaches to achieving planning goals. Additionally, it comes with an extensive user manual that includes detailed documentation on strategic resource areas, hazard modeling, and references to the foundational scientific literature. This comprehensive support ensures users have all the tools they need to make informed decisions that benefit both communities and ecosystems.

Description

ML.NET is a versatile, open-source machine learning framework that is free to use and compatible across platforms, enabling .NET developers to create tailored machine learning models using C# or F# while remaining within the .NET environment. This framework encompasses a wide range of machine learning tasks such as classification, regression, clustering, anomaly detection, and recommendation systems. Additionally, ML.NET seamlessly integrates with other renowned machine learning frameworks like TensorFlow and ONNX, which broadens the possibilities for tasks like image classification and object detection. It comes equipped with user-friendly tools such as Model Builder and the ML.NET CLI, leveraging Automated Machine Learning (AutoML) to streamline the process of developing, training, and deploying effective models. These innovative tools automatically analyze various algorithms and parameters to identify the most efficient model for specific use cases. Moreover, ML.NET empowers developers to harness the power of machine learning without requiring extensive expertise in the field.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
Bing
C#
F#
Google Cloud AutoML
Microsoft Defender Antivirus
Microsoft Outlook
Microsoft Power BI
ONNX
TensorFlow

Integrations

.NET
Bing
C#
F#
Google Cloud AutoML
Microsoft Defender Antivirus
Microsoft Outlook
Microsoft Power BI
ONNX
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Vibrant Planet

Founded

2004

Country

United States

Website

www.vibrantplanet.net/landtender

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

dotnet.microsoft.com/en-us/apps/ai/ml-dotnet

Product Features

Forestry

Barcoding / RFID
Contract Management
Cost Accounting
Customer Management
Financial Management
Harvest Management
Order Processing
Pricing Management
Production Tracking
Supplier Management
Transportation Management

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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