Tools and Technology

Professional-grade soil measurement and analysis tools accessible to operations of any size.

Midwest Ensemble Explorer

Midwest Ensemble Explorer

Preview ensemble modeling predictions for Midwest corn-soy systems. No account required.

Explore predictions
Fieldvision platform interface

Fieldvision Platform

Complete system for sampling design, data collection, and analysis. Accounts are free.

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Field sampling kit equipment

Field Sampling Kits

Professional-grade hardware for efficient soil sample collection Purchase online.

Get a kit
Dataset Builder interface

Enrich Existing Data

Upload and harmonize datasets from previous sampling for rapid insights in Fieldvision (free Fieldvision account required).

Upload data

Midwest Ensemble Explorer

Free access to validated ensemble modeling predictions for Midwest corn-soy systems.

Explore results from our breakthrough Multi-Model Ensemble study published in Nature Scientific Reports (2025). See predicted impacts of different practice scenarios on soil carbon, greenhouse gas emissions, and crop yields across 12 states and 934 counties.

Who it's for: Farmers, advisors, and researchers interested in Midwest corn-soy systems

What you can explore:
  • • Predicted outcomes for eight conservation practice scenarios
  • • Estimates of carbon sequestration and N₂O emissions reduction
  • • Comparison to dynamic baseline conditions

Current coverage: Midwest corn-soy systems (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin).

Access: Free, no account required.

Try Midwest Ensemble Explorer

Fieldvision Platform

Complete web and mobile system for soil sampling design, field data collection, and analysis.

Fieldvision supports the entire soil measurement process—from planning where to sample through receiving analytical insights. The platform works with soil data from any source, whether you collect samples yourself, use our kits, or work with existing sampling services.

Who it's for: Farmers, land managers, consultants, researchers

What you can do:
Plan sampling
  • • Outline your fields and record management information
  • • Generate optimized sampling designs based on your goals
  • • Reduce sampling intensity while maintaining accuracy
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Collect data
  • • Use the mobile app for GPS-guided navigation to sample locations
  • • Track samples with QR-coded bags
  • • Record field observations and management details
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Analyze results
  • • Upload lab results from any analytical lab
  • • Receive automated analysis and visualizations
  • • Compare your results to regional benchmarks
  • • Track changes over time

Access: Free account at app.tsip.org. Mobile app available in App Store and Google Play (requires Fieldvision account).

Create your account
A field being plowed

Field Sampling Kits

Our drill-auger system collects soil samples 2-3 times faster than traditional push probes while maintaining equivalent accuracy (peer-reviewed, 2023). The kit includes everything needed to sample your land efficiently.

What's included:
  • • Drill-auger soil harvester
  • • Battery-operated drill
  • • QR-coded sample bags
  • • Sampling instructions

Who it's for: Farmers and land managers collecting their own samples

Works with: Fieldvision platform (recommended, but not required). You can use kits independently or integrate with Fieldvision for optimized sampling design and automated analysis.

15-bit Drill Kit

15-bit Drill Kit

30-bit Drill Kit

30-bit Drill Kit

Sample Bag Pouring Process

Sample Bag Pouring Process

Field Sampling Kit Box

Field Sampling Kit Box

Enrich Existing Data

Upload and analyze existing soil data.

Use the Dataset Builder to combine multiple data sets from previous sampling campaigns. Then use Fieldvision to enrich it with information from TSIP's national database. Get instant statistical analysis, regional comparisons, and actionable insights.

Who it's for: Producers, consultants, or organizations with existing soil data

What you can upload:
  • • Lab results from any analytical lab
  • • Historical soil sampling data
  • • Management practice records
  • • Field boundary information
What you receive:
  • • Automated statistical analysis
  • • Regional benchmarking
  • • Data visualizations
  • • Identification of trends and patterns

Access: Free Fieldvision account required

Upload your data

Coming Soon: Custom Ensemble Modeling

Personalized ensemble modeling predictions for your specific operation.

We're developing a program that provides custom ensemble modeling tailored to your farm—using your actual soil data, management history, and practice scenarios. This goes beyond the Midwest Ensemble Explorer to deliver field-specific predictions for your unique conditions.

Who it's for: Farmers, advisors, and organizations wanting field-specific modeling predictions

What you'll receive:
  • • Custom ensemble model predictions based on your soil and management data
  • • Multiple practice scenarios analyzed
  • • Comprehensive environmental impact assessment
  • • Explicit uncertainty ranges

Current status: Pilot phase. Join our waitlist to receive updates on availability.

Sign up to stay up to date on the latest news

How the Tools Work Together

For collecting new soil samples:
  • • Create free Fieldvision account at app.tsip.org
  • • Identify your fields and generate sampling design
  • • Purchase sampling kit (optional—use your preferred collection method) and QR coded sample bags
  • • Use mobile app for GPS-guided sample collection
  • • Send samples to your chosen analytical lab
  • • Upload lab results to Fieldvision for analysis
For analyzing existing data:
  • • Create free Fieldvision account at app.tsip.org
  • • Use Data Uploader to upload existing lab results
  • • Receive automated analysis and regional comparisons
For exploring modeling predictions:

Ready to get started?

Create a free Fieldvision account to access sampling tools and analysis, or explore Midwest Ensemble Explorer predictions without signing up.

Questions? Contact us at support@tsip.org