We empower agribusinesses to monitor regenerative practices in their supply chain.

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We enable GHG emission accounting at scale

Using remote sensing we provide all the critical information for GHG modeling and regenerative practice verification

  • Phenological data & vegetation time-series (incl. daily NDVI)
  • Field-level sustainable practices data (incl. cover crops, tillage)
  • Carbon models
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Reliable data for any model

No matter which GHG Accounting framework you use, accuracy depends on reliable field data. Streambatch seamlessly delivers the essential inputs. Plug-and-play with any tool.

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Do Agricultural Analysis.
Not Data Engineering.

Streambatch offers a light-weight solution that feeds farming practice data into any GHG accounting system or workflow.

Phenology

Retrieve information on growing season timing and NDVI for farm

Sustainable Practices

Detect and monitor field-level practices such as tilling and cover cropping  

Carbon

Leverage Streambatch practice and phenology data to drive industry-standard carbon models


{
  "cropType": "Potato",
  "location": 'farm_polygon',
  "dateRange": "2023-04-01 to 2023-09-30",
  "phenology": {
    "start_of_season": "2023-04-15",
    "peak_of_season": "2023-06-20",
    "end_of_season": "2023-09-10",
    "peak_of_season_ndvi": 0.901943,
    "rate_of increase_ndvi": 0.010133,
    "long_integral_of_season_ndvi": 67.187084,
    "valley_of_season_ndvi": 0.081875,
  }
} 



  
{
  "cropType": "Corn",
  "location": "farm_polygon",
  "sustainabilityPractices": {
    "tillageType": "No-till",
    "coverCrop": "True",
  }
}




{
  "cropType": "Soybean",
  "location": "farm_polygon",
  "soilCarbon": {
    "measurementDate": "2023-05-20",
    "carbonContent": "3.2%",
  }
}

1 - Connect

Send basic field data to Streambatch

2 - Measure

Get accurate, quantitative assessments of farming practices

3 - Integrate

Generate accurate GHG accounting from your model of choice

See examples of the bot

Introducing Streambatch

Introducing Streambatch

By: Tammer Kamel, CEO & Founder

June 23, 2023
Exploring NDVI as a Predictor of Corn Yield
Case Study

Exploring NDVI as a Predictor of Corn Yield

In our recent study, we investigate the predictive power of NDVI metrics (max, mean, cumulative) for estimating corn yield in the US Corn Belt.

May 10, 2023
Historical Crop Patterns in the US Corn Belt
Case Study

Historical Crop Patterns in the US Corn Belt

In this case study, we build a historical profile of crop patterns across the US Corn Belt by leveraging detailed Sentinel-2 derived NDVI.

May 10, 2023

Ready?

MRV at scale demands robust modeling enabled by high resolution remote sensing. We've built just that. Streambatch delivers MRV solutions for organizations who are serious about rigorous, transparent validation of farming practices at scale.

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