The technological approach of the #soil4nature project is built on the objective, data-driven assessment of regenerative agricultural practices. The aim is not merely to compare different soil management systems, but to analyse their impacts in a measurable, real-time and spatially differentiated manner. For this reason, the project applies an integrated digital monitoring system that connects physical and chemical soil processes with crop development into a single data structure.
The soil sensor network installed on the experimental plots forms the foundation of the system. Sensors are placed at different soil depths (30 and 60 cm) and continuously measure soil moisture, soil temperature and electrical conductivity. These parameters provide indirect information about soil water balance, structural stability and nutrient availability.
Measurements are not based on one-time sampling, but on continuous data collection, making it possible to observe dynamic changes caused by rainfall events, heatwaves or cultivation interventions. This is particularly important when assessing regenerative systems, where improving water retention, stabilising soil temperature and preserving soil structure are key objectives.
Real-time data transmission allows farmers to receive immediate feedback on the effects of different treatments - for example, how moisture distribution changes under strip-till systems or how a cover crop mixture influences soil temperature fluctuations. As a result, soil processes become measurable and comparable, significantly reducing uncertainty during the transition period.
Processes occurring above the soil surface are complemented by drone-based surveys. High-resolution aerial imagery enables spatial analysis of vegetation and the identification of within-field variability. NDVI (Normalized Difference Vegetation Index) analysis is generated from the images, providing insight into photosynthetic activity, plant vitality and biomass status.
This method is particularly suitable for comparing different cultivation and cropping systems. For instance, it allows evaluation of how no-till systems influence crop uniformity, or how plant development dynamics differ under intercropping compared to conventional practices. Drone-based monitoring offers fast, cost-effective and large-scale data acquisition while reducing the need for manual field inspections.
The third pillar of the project’s technological system is the Soil4Nature Dashboard, which integrates soil sensor data and drone-derived analyses into a single digital interface . The system is not merely a data visualisation tool, but a decision-support platform .
It enables:
Integrated data management ensures that farmers do not see isolated parameters, but complex system-level processes. The platform fundamentally supports data-driven agricultural decision-making, whether related to irrigation, nutrient management or evaluation of cultivation strategies.
The combination of soil sensors and close-range remote sensing surveys creates opportunities for automated and precision-based interventions. The system can support targeted irrigation or nutrient application decisions based on measured data. Through integrated analysis, excessive input use can be reduced, resource efficiency can be optimised and environmental pressure can be mitigated.
Data collection is managed through cloud-based systems, ensuring secure storage and continuous accessibility. This enables long-term comparison and the analysis of multi-season trends.
The digital tools applied in the #soil4nature project are not innovations for their own sake. Their purpose is to make soil-regenerative practices measurable and to verify their long-term applicability.
The data-driven approach:
The Soil4Nature technological framework is therefore not simply a collection of precision tools, but an integrated, measurable and scalable model for sustainable soil management in the Pannonian region.