The Challenge

INIA faced the challenge of optimizing nitrogen fertilization in Uruguayan crops in the face of climate uncertainty, soil variability, and fluctuating costs/prices. The solution needed to convert complex agronomic models into an accessible, scalable, and integrable digital tool that allows for scenarios of application rates and dates, manages climate, soil, and market data, and connects with other systems. An intuitive interface was needed for producers and agronomists to aid in decision-making and improved crop management.

Optifert-N
Optifert-N

The Solution

Optifert N is a platform designed to optimize the management of nitrogen fertilization of crops. The system allows producers to manage properties and paddocks, integrating high-precision technical models developed by INIA. Its core is a configurable module that associates models with specific crops and allows defining between three and four application times based on phenological phases, adjusting doses and windows based on climate, soil condition, and yield objectives. It offers a RESTful API for programmatic access and easy integration with third parties, and it is implemented as a Mini App within the INIA Móvil institutional Super App, centralizing the management of properties and paddocks, management data, and recommendations.

The Result

With this new app, INIA strengthens the services provided to users through its institutional SuperApp. It facilitates efficient management of properties, farms, and pastures through two web applications (backend and frontend) that facilitate the administration and monitoring of fertilization practices; the ability to calculate fertilization models that support decisions and improve crop management, increasing precision and profitability. In addition, the INIA technical team can configure and update the models without modifying the source code, which facilitates maintenance, rapid adaptation to new evidence, and regionalization. Advanced users and allied institutions can consume the technical models directly and automatically, enhancing collaboration, interoperability, and scalability of the platform.

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