Blue River Technology
Blue River Technology is an agricultural robotics and machine-learning company headquartered in Santa Clara, California, and a wholly owned subsidiary of John Deere (Deere & Company), which acquired it in 2017. Founded in 2011 by Jorge Heraud and Lee Redden out of Stanford University, the company builds intelligent machinery that combines computer vision, machine learning, robotics, and full-stack software to make farming more precise and sustainable. Its flagship product, See & Spray, uses onboard cameras and deep-learning models to distinguish crops from weeds in real time and target herbicide only where it is needed, dramatically reducing chemical use. Blue River operates as John Deere's autonomy and computer-vision engineering hub, applying the same perception and edge-AI stack across agriculture, construction, and mining equipment. The company does not publish a public developer API, SDK, or documentation portal; its technology ships embedded in John Deere machinery and is surfaced to growers through John Deere Operations Center rather than a standalone developer program.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Blue River Technology the way a machine reads it — 7 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Blue River Technology scores 9.3/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Blue River Technology
Each block below is one kind of artifact we hold for Blue River Technology. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Features 6
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Blue River Technology — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Access & Security 1
Authentication, authorization, and security posture
Commercial 1
Pricing, plans, and the legal terms of use
Company 5
The organization behind the API
Other 2
Properties that don't map to a standard resource type
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