Quick Summary

Rachael Sharp runs a certified seed farm in Allendale, South Carolina with her father. She uses ChatGPT to fill out the state's mandatory water-use reports, calculate exact chemical needs and plan crop rotation. Reports that took two to three days now take minutes, and the farm no longer ends the year with $20,000 of unused chemicals in the shed.

The Use Case

A family farm carries a surprising amount of paperwork: water well and surface-water reports for the state environmental regulator, Department of Agriculture documentation with soil analysis, burn permits, equipment maps for contract sprayers. Chemicals were ordered by rough estimate, and 50 years of crop records lived on paper. Sharp started with what she knew, ChatGPT, and worked through the list. She logs field data by voice, has the model populate the compliance forms and draft the explanatory addendums, asks it to calculate pesticide needs to the tenth of a unit, and uploaded the farm's records from 2015 onward to get rotation and field-placement recommendations. She reviews every output before it goes anywhere.

Real Example

1. Sharp dictates the season's irrigation data from the truck
2. ChatGPT populates the state water-use report and drafts the required explanatory notes
3. She reviews, corrects one well reading and submits, a two-day task done before lunch
4. Before planting, she asks for exact herbicide quantities for each field and orders only that
5. She asks for a rotation plan for next year based on ten years of records and Clemson soil tests
6. When a sprayer breaks, she uploads the manual and troubleshoots in the field

Why It Matters

• Water-use reporting dropped from 2 to 3 days to minutes
• No more over-ordering: "We don't have two pallets worth $20,000 sitting in the shed at the end of the year"
• Rotation recommendations she rates at 95 to 96% accurate, using records the farm never analyzed before

Source

https://www.farmprogress.com/technology/tech-savvy-daughter-brings-ai-tools-to-family-farm