Precision Agriculture Solutions: The 5-Year Evolution of mYields Kft.
- sandorfehervari

- Apr 12
- 2 min read

Precision agriculture solutions are rapidly evolving from simple input optimisation tools into fully integrated farm decision support systems. Over the past five years, mYields Kft. has followed this transformation, developing a data-driven platform that connects soil, nutrients, topography, and operational management into a single precision farming service.
This evolution reflects a broader shift in the industry: from isolated tools toward end-to-end precision agriculture platforms that improve efficiency, reduce costs, and support better decision-making at scale.
From Uniform Farming to Field Zoning and Soil-Based Decisions
One of the first breakthroughs in precision farming is recognising that fields are not uniform. mYields introduced field zoning agriculture methods, allowing farmers to divide fields into management zones based on productivity potential.
This enabled the 3 pillars of Presicion Agriculture:
variable rate nitrogen application & optimised seeding density
Optimised soil sampling
targeted soil nutrient management (P, K, Ca) through structured soil sampling
By aligning inputs with actual field conditions, farmers can reduce fertilizer costs while maintaining or improving yield performance. This marked the first step toward scalable, data-driven farming.
Drone Mapping and Field Topography: Understanding Water and Nutrient Movement
As precision agriculture matured, it became clear that soil data alone was not enough. Field performance is strongly influenced by topography and water movement.
With DRONATION, mYields introduced drone mapping in agriculture, providing high-resolution field topography maps.
This allows farmers and contractors to:
identify slope and elevation differences
understand water flow patterns in fields
anticipate nutrient redistribution across zones
This is critical because nutrients such as nitrogen and sulfur are mobile. Without understanding terrain, even well-designed fertiliser strategies can lead to losses.
Soil Erosion Modeling and Nitrogen Management Optimization
Building on topographic data, mYields developed advanced models to improve nitrogen management in agricultureand reduce environmental and financial losses.
A soil erosion model (10×10m resolution) identifies areas where soil and nutrients are likely to be lost. This ensures that fertilizer investment aligns with true soil potential, not just historical yield data.
In addition, the platform integrates a nitrogen flow model, which adjusts prescription maps based on:
rainfall impact
slope shape
nutrient movement risk
This approach enables farmers to optimize fertilizer use by applying nitrogen where it will remain effective, improving efficiency and reducing waste.
Land Asset Intelligence
Beyond agronomy, the mYields support:
monitoring of land asset, boundary and legal changes
alerts on land sales and changes in the surrounding area
Conclusion: The Future of Digital Farming
The future of agriculture lies in connected, data-driven systems. Precision farming is no longer just about applying inputs more accurately, but about understanding how soil, water, and nutrients interact over time.
The development of mYields Kft. demonstrates how modern digital farming platforms can transform agriculture from reactive management into predictive and optimized decision-making.



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