Land cover data generated up to five months before USDA Cropland Data Layer with greater accuracy and resolution
MINNEAPOLIS (November 15, 2023) – CIBO Technologies, the company delivering the leading technology platform powering the transition to sustainable agriculture, today announced the availability of their latest CIBO Crop ID data set identifying cropland cover for the entire continental U.S. for the crop year 2023.
The CIBO science and modeling team combined their computer vision capabilities with an innovative machine learning approach to identify cropland cover with greater accuracy, resolution, and up to five months sooner than the USDA’s Cropland Data Layer (CDL), relied upon by many in the industry to understand the amount of major commodities grown in the previous crop year. Each CIBO Crop ID pixel represents 10×10 meters, compared to the CDL’s 30×30 meter resolution. CIBO’s achievement delivers higher resolution, providing an industry-leading ability to identify crops and land features and deliver high-confidence measurements.
CIBO’s Crop ID raster contains 132 land use labels across the continental U.S. Verified against independent field data, the CIBO model’s ability to identify corn, soy and cotton out-performs the USDA CDL, creating exceptional confidence in the results.
“We are thrilled to release this year’s CIBO Crop ID, a testament to CIBO’s commitment to advancing sustainable agriculture,” said Marie Coffin, VP of Science and Modeling at CIBO. “By harnessing cutting-edge computer vision and machine learning, our science and modeling team has achieved a milestone that will empower stakeholders in the agriculture industry with a valuable resource for decision-making and planning.”
The new cash crop data will be available to users of the CIBO Impact platform. Integrating this data set into CIBO Impact brings a number of benefits to users, such as:
- Faster and easier program enrollment: When growers or their trusted advisors identify their fields, CIBO Impact remotely senses those fields’ practice history. Users confirm or update the sensed information, speeding up the process of prequalifying for and enrolling in sustainability programs. The improved accuracy of CIBO Crop ID data compared to USDA CDL makes this step faster, while the earlier availability of the data means users benefit sooner.
- Confidence in scaled analysis: Companies baselining their supply shed emissions need accurate modeling results. Cash crop is one of the inputs fed into CIBO’s validated ecosystem model, which enables CIBO Impact users to baseline greenhouse gas (GHG) emissions in their supply shed. Better accuracy in cash crop identification leads to even more precise modeling results, giving enterprises the confidence they need when using this data to plan and execute supply shed interventions or identify new geographies for program focus.
- Plan interventions sooner: For companies with net-zero goals, 2030 is arriving fast. Availability of cash crop and modeling results up to five months sooner than before means companies have that much more time to plan their interventions for the following year.
For more information on CIBO Crop ID or to see how you can get started deploying your own conservation, Scope 3 or agricultural carbon credit program in CIBO Impact, contact our team.
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About CIBO
Founded by Flagship Pioneering in 2015, CIBO applies advanced software to deliver a deep understanding of agricultural systems at scale. We focus on delivering solutions that drive regenerative agriculture in order to help mitigate climate change, advance food system resilience and improve grower outcomes. CIBO was named 2021, 2022 and 2023 AgTech “Company of the Year,” 2023 Fast Company Brands that Matter honoree, and is a Thrive 50 company and 2023 Bold Award finalist. Learn more at cibotechnologies.com.
