Case study

Farm data for more productive livestock operations

Challenge

Livestock producers kept few records, making it hard to improve productivity or demonstrate good practices.

We built GanApp, an app to record and analyze livestock farm information.

Farm records that support management decisions and technical assistance.

DAP's role. DAP designed and built the app.

Somos Río LempaEl Salvador2026

Challenge: Producers and extension staff in the watershed needed timely agronomic guidance, but in-person technical assistance can't cover every question.
Outcome: An always-available assistance channel, with answers traceable to their sources and an improvement cycle driven by expert review.

Live

AnacaféGuatemala2017–2020

Challenge: Coffee-farming families were making management decisions without access to climate information or timely technical assistance.
Outcome: An internationally recognized farmer-information model (MIT Technology Review Innovators Under 35, Cracking the Nut 2017).

AI agents and assistants for landscapes

~6,000coffee farmers reached

GIZ

Challenge: Tracking good practices relied on paper forms that were hard to consolidate and verify.
Outcome: Structured field data that makes follow-up and reporting easier.

Traceability, MRV/dMRV and verification

Next step

Tell us about your challenge. In a first conversation we'll see whether a diagnostic makes sense for your organization.