Modern fertilizer advisory system using satellite data, autonomous drones, and soil reflectance spectroscopy to increase crop potential, optimize fertilizer usage, and reduce CO₂ emissions
Project Description
Nirby Sp. z o.o. is implementing a project titled "Nowoczesny system doradztwa nawozowego wykorzystujący dane satelitarne, autonomiczne drony oraz odbiciową spektroskopię gleby w celu zwiększenia potencjału upraw, optymalizacji zużycia nawozów oraz redukcji emisji CO₂."Funding agreement no. FENG.01.01-IP.02-3237/23
Project Scope / Planned Activities
The project plans to conduct research and development (R&D) activities aimed at developing an innovative solution for rapid and precise soil parameter analysis and fertilizer recommendations for agricultural fields.The project includes, among others:
development and design of an autonomous drone (Unmanned Aerial Vehicle) for soil measurements,
conducting spectroscopic research and developing data analysis algorithms,
creating an IT platform for managing the measurement system,
developing a fertilizer advisory algorithm based on satellite data and measurement data.
Target groups
The project is primarily aimed at:
farms,
agricultural producers interested in precision farming,
entities involved in agricultural consulting and fertilizer optimization.
The solution will be available to farmers who want to increase the efficiency of their agricultural production and reduce fertilizer costs.
Project ObjectivesThe objective of the project is to develop an innovative soil monitoring and fertilizer advisory system that enables rapid analysis of soil properties without the need for traditional sampling and time-consuming laboratory tests.
Project Results
The project will result in an innovative technology enabling:
increased agricultural production potential,
optimization of mineral fertilizer usage,
reduction of CO₂ emissions and minimization of the negative impact of fertilization on the environment,
preparation of digital variable rate fertilization maps, usable in agricultural machinery.
The project will contribute to the development of precision agriculture and increase the availability of modern soil analysis methods for a wide range of farmers.