2025 CIBO Crop ID Data Now Available Six Months Ahead of USDA

The 2025 edition of the CIBO Crop ID dataset is now live in CIBO Impact. CIBO Crop ID provides users with the most current, high-resolution crop classification data available across the entire continental U.S. 

When users create a new field in CIBO Impact, the platform now automatically populates the remotely sensed cash crop value for 2025, allowing for faster, more confident field profiling. This builds off CIBO’s existing annual cash crop data back to 2017, allowing for up to 9 years of full historical field profiling.  

Delivering land-use data in September puts CIBO roughly six months ahead of the USDA, whose annual CDL release typically occurs in February. That time advantage gives organizations the ability to analyze the current crop year and act on insights months before public data becomes available.

Precision Data, Delivered Early

At the core of CIBO Crop ID’s capability is a cloud-based AI platform that combines computer vision, machine learning, and multi-sensor satellite imagery to classify cropland with unmatched accuracy and speed. The system processes data from Sentinel-2 and Landsat 8/9 satellites, using proprietary temporal modeling and weather-normalized reflectance corrections to eliminate noise and improve classification stability. 

Each pixel represents 10x10 meters—a ninefold improvement in resolution over the USDA’s 30x30 meter pre-2024 standard and on par with the current 2024 CDL product. With approximately 100 billion pixels across 132 crop and land-use classes, CIBO can deliver higher resolution and an industry-leading ability to identify crops and land features.

Specifically, these models are trained and validated against independent field data, enabling CIBO’s algorithms to outperform public CDL sources in identifying key crops like corn, soy, and cotton. The results are integrated directly into CIBO Impact’s ecosystem model, which powers sustainability baselining, greenhouse gas estimation, and supply shed emissions analysis. The seamless connection between data and modeling allows companies to move from crop identification to carbon and sustainability insights without leaving the platform.

How Businesses Benefit

Having early access to 2025 classifications and crop and modeling results six months sooner offers unique advantages:

• Advance planning: Earlier modeling builds in more time to plan interventions for the following year. For example:
  • For CPGs that rely on agricultural supply chains, earlier insights allows them to anticipate commodity crop shifts and environmental stressors, enabling them to reduce risk exposure and improve sourcing decisions.
  • Financial and insurance firms can model exposure, price risk and refine underwriting based on current-season conditions rather than waiting for outdated public releases.
• Confidence in scaled analysis: Companies baselining supply shed emissions need accurate modeling results. Cash crop is a key input to CIBO’s validated ecosystem model, which enables CIBO Impact users to baseline greenhouse gas (GHG) emissions in their supply shed. More accurate crop identification delivers more precise modeling—giving companies greater confidence to plan interventions and target new program geographies.
• Faster and easier program enrollment: When growers or their advisors identify fields, CIBO Impact remotely senses practice history. Users simply confirm or update the data, accelerating prequalification and enrollment in sustainability programs. With higher accuracy and earlier availability than USDA CDL, CIBO Crop ID enables users to act sooner.

Turning Data Into Action

With 2025 CIBO Crop ID data available now, CIBO Impact users gain both time and accuracy. The platform’s automated field profiling, integrated modeling, and verified data pipeline eliminate manual data entry and guesswork, while its early release schedule ensures users have additional time to plan sustainability interventions.