Case study

Data to plan rainwater harvesting

Challenge

Farming families needed to size rainwater-harvesting solutions in the face of climate variability.

We built Cosecha H2O, a tool that uses climate data to support planning of water-harvesting systems.

Better-informed water investment decisions.

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

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

FUNDECORCosta Rica

Challenge: Managing forest and conservation properties required up-to-date spatial information that was easy to access for planning, follow-up and reporting.
Outcome: Centralized landscape information available for decision-making and for reporting to partners and funders.

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

Next step

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