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.

Blue River Technology is profiled on the APIs.io network. Tagged areas include Company, Agriculture, Robotics, Computer Vision, and Machine Learning.

Blue River Technology’s developer surface includes engineering blog and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

9.3/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs 6 Features

CompanyAgricultureRoboticsComputer VisionMachine LearningArtificial IntelligenceAgtechAutonomyPrecision AgricultureNorth America

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 9.3/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.4 / 20

Commercial Clarity 2.1 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/blue-river-technology: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Features 6

Notable capabilities this provider offers.

Sector: Agricultural robotics / precision agriculture

Flagship product: See & Spray (computer-vision targeted spraying)

Technology: Computer vision, machine learning, robotics, edge AI

Parent: John Deere (Deere & Company), acquired 2017

Headquarters: Santa Clara, California, USA

Developer API: none published (embedded in John Deere machinery)

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 5

The organization behind the API

Website

About

Blog

Jobs

LinkedIn

Other 2

Properties that don't map to a standard resource type

Products

Products

ParentCompany

ParentCompany

Source (apis.yml)

aid: blue-river-technology
name: Blue River Technology
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/blue-river-technology/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- dcvc
x-tier: stub
x-tier-reason: portfolio-lead
x-parent-company: John Deere (Deere & Company)
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
image: https://www.bluerivertechnology.com/favicon.ico
tags:
- Company
- Agriculture
- Robotics
- Computer Vision
- Machine Learning
- Artificial Intelligence
- Agtech
- Autonomy
- Precision Agriculture
- North America
apis: []
common:
- type: DomainSecurity
  url: security/blue-river-technology-domain-security.yml
- type: Website
  url: https://www.bluerivertechnology.com/
- type: About
  url: https://www.bluerivertechnology.com/mission/
- type: Products
  url: https://www.bluerivertechnology.com/products/
- type: Blog
  url: https://www.bluerivertechnology.com/blog/
- type: Jobs
  url: https://www.bluerivertechnology.com/careers/open-positions/
- type: PrivacyPolicy
  url: https://www.deere.com/en/privacy-and-data/
- type: LinkedIn
  url: https://www.linkedin.com/company/blue-river-technology/
- type: ParentCompany
  url: https://www.deere.com/
- type: Features
  data:
  - 'Sector: Agricultural robotics / precision agriculture'
  - 'Flagship product: See & Spray (computer-vision targeted spraying)'
  - 'Technology: Computer vision, machine learning, robotics, edge AI'
  - 'Parent: John Deere (Deere & Company), acquired 2017'
  - 'Headquarters: Santa Clara, California, USA'
  - 'Developer API: none published (embedded in John Deere machinery)'
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence