Technical insights on agricultural APIs, precision farming, and AI.
Most farm data tools pick a side. Here's how to build workflows that pull from both Climate FieldView and John Deere at the same time, without gluing two APIs together yourself.
When your field data lives across John Deere, FieldView, Trimble, and Raven, the hidden cost isn't the integration. It's what happens when you try to query across all of it at once.
How to estimate ARC-CO versus PLC payments for the 2025 program year using county benchmarks, MYA price assumptions, and PLC yield inputs.
When ag data platforms consolidate through unified APIs, the real winners are developers building cross-provider tools. Here's what that means in practice.
How Leaf's boundary merging works under the hood, what a canonicalFieldId actually means, and why it matters when you're building tools that span John Deere, FieldView, and Trimble.
A staff engineer's take on where AI in farm software is headed, why the data plumbing problem still matters, and how to build tools that hold up in the field.
A practical guide to pulling Climate FieldView field data, operations, and boundaries through Leaf's unified agriculture API, with real code examples.
A step-by-step tutorial for connecting your John Deere Operations Center account to FieldMCP and pulling real field data in minutes.
A practical explanation of the Model Context Protocol and why it's the missing plumbing between farm data systems and AI assistants.