AgroTico Smart

IoT, Artificial Intelligence, Precision Agriculture, ESP32, Sensor Integration, Data Analysis, Machine Learning

Main project image

Award-winning Costa Rican precision agriculture platform using IoT and AI to analyze soil and microclimate data for optimized farming decisions.

Visit the project ↗

🌱 AgroTico Smart

Costa Rican innovation transforming agriculture

AgroTico Smart is a precision agriculture platform developed by students from Colegio Técnico Profesional Don Bosco in Costa Rica. The project was created to help farmers face challenges such as climate change, water scarcity, and low productivity through accessible and locally developed technology.

🏆 Regional Champions – Samsung Solve for Tomorrow 2025 (Latin America)
🏆 National Champions – Costa Rica
🏆 LATAM Finalists – Samsung Solve for Tomorrow 2025


🚜 What is AgroTico Smart?

AgroTico Smart is an end-to-end agricultural technology solution that combines:

The platform transforms soil and microclimate data into smart, data-driven farming decisions, making advanced technology accessible to small and medium-scale farmers.


🤖 Platform Features

🌦️ Real-Time Monitoring

🧠 AI-Powered Decision Support

📊 Crop Management


📈 Real-World Impact

AgroTico Smart was deployed with small farmers and cooperatives in the Chorotega and Northern Huetar regions of Costa Rica.

Key results:


🧩 AgroTico Smart Kit

A unique, ready-to-deploy product that includes everything needed to implement precision agriculture on a farm:

💲 Estimated cost: $400


👥 The Team Behind AgroTico Smart

🌱 A multidisciplinary team of young innovators committed to social impact and sustainable agriculture:

Supported by:


🌍 More Than Technology — Social Impact

AgroTico Smart bridges education, innovation, and sustainability, demonstrating how young talent can deliver real solutions for agriculture while contributing to a more resilient and sustainable future for Costa Rica and Latin America.


This project demonstrates the intersection of electronics, IoT, AI, and sustainable agriculture, showcasing skills in system design, programming, machine learning, and project leadership.