UNSPSC 21101523: Automated management system for agricultural machinery

A device mounted on agricultural machinery that automatically samples and analyzes soil and uses resulting data to set work scope and route generation for the machine. Provides data on plant growth and harvesting.

UNSPSC 21101523 Automated management system for agricultural machinery is a Commodity code. State and local governments soliciting under this code show little activity aligned with its nominal scope; recent opportunities tagged with this code span emergency shelter staffing, executive search services, utility infrastructure upgrades, environmental consulting, tree planting, and goat browsing for noxious weed control. None of these procurements involve automated systems for managing agricultural equipment. The mismatch between the code's stated purpose and the actual work being bought suggests this code is not actively used by state and local agencies for its intended function, or the sourcing system is applying the taxonomy inconsistently.

The geographic spread of recent opportunities extends across Colorado, Florida, and Georgia, with activity from county parks departments, county emergency management offices, cities, and state agencies. Boulder County Parks and Open Space in Colorado issued an RFP in May 2026 for goat browsing services for noxious weed mitigation and wildfire fuel reduction with a response date of May 28, 2026; Orange County, Florida issued an Invitation for Bids for tree planting and establishment services with responses due March 3, 2026; Pasco County, Florida solicited as-needed environmental services through a request for statements of qualifications with a submission deadline of April 14, 2026; and the Georgia Department of Agriculture issued a request for qualifications for utility infrastructure upgrades at its Forest Park facility with responses due February 18, 2026. Given the absence of opportunities that directly align with agricultural machinery management systems, pursuit under this code carries significant risk of misalignment with actual buyer intent.