Agrotti

Agrotti is a specialized mobile app for Agrotti clients that brings precision agriculture tools to field technicians and rural producers to support soil fertility management and plant nutrition. The application aggregates georeferenced data and remote sensing insights to reveal spatial variability across fields, helping users allocate inputs more efficiently, monitor productivity trends and diagnose problems that affect yields. By turning raw field measurements into actionable information, Agrotti helps agronomy teams and farmers make objective, data-driven decisions that can improve profitability and ensure targeted investments deliver measurable results.

Key Features

⭐ Soil fertility and plant nutrition tools designed to manage nutrient plans and field variability.

⭐ Integration of georeferenced data and remote sensing for accurate field mapping and analysis.

⭐ Precision agriculture workflows to optimize distribution of inputs and investment decisions with Agrotti’s methodology.

⭐ Productivity monitoring and problem diagnosis using spatial variability and geostatistics.

Advantages

✅ More efficient allocation of resources, reducing waste and focusing investment where it matters most.

✅ Enhanced ability to track yield evolution and identify issues before they become widespread.

✅ Objective, technology-driven recommendations that combine remote sensing with field experience.

✅ Useful for both technicians and rural producers seeking data-led agribusiness improvements.

Disadvantages

❎ Access is limited to Agrotti clients, so it is not available to general users.

❎ Requires a modern device meeting minimum specs: 4GB RAM, octa-core processor and Android 9.0 or higher.

❎ Primary focus on Brazilian agriculture and local variability may reduce immediate relevance for other regions.

Development Team

Agrotti is developed by a team focused on soil fertility management and plant nutrition, guided by three principles: Technology, Innovation and Objectivity; the solution combines high-technology tools, georeferenced data and remote sensing with extensive experience in spatial variability and geostatistics to increase agricultural profitability in Brazil.