Agriculture is entering a new phase of development in which decisions in the field are increasingly based not only on farmers’ experience, but also on analysis and scientific data. This shift is shaping what is known as evidence-based agriculture-a model where farming practices rely on measurable indicators and verified information. At the center of this approach lies soil, the resource that determines crop productivity, the resilience of agroecosystems, and agriculture’s capacity to adapt to climate change.
Soil is much more than a medium for plant growth. It regulates the water cycle, stores nutrients, supports soil biodiversity, and plays a crucial role in the global carbon cycle. For this reason, soil management is increasingly seen as a key tool for ensuring food security and addressing climate challenges.
Effective soil management requires reliable and accessible soil data. Modern research increasingly combines satellite observations, climate models, and machine learning to build high-resolution soil datasets. Recent developments make it possible to generate global datasets on soil moisture at different depths, helping to improve drought prediction, optimize irrigation, and support more precise nutrient management.
At the same time, farmers need practical indicators that allow them to monitor soil health directly in their fields. Research shows that factors such as soil structure, organic matter content, pH, nutrient levels, and biological activity-such as the presence of earthworms – can serve as early indicators of changes in soil health. Monitoring these indicators over time helps farmers adapt their management practices and improve the long-term sustainability of their soils.
The relationship between soil and climate is also becoming increasingly important. Soil can act both as a source and a sink of carbon. When managed sustainably, soils can store significant amounts of organic carbon while also improving water retention, reducing erosion, and increasing the resilience of crops to extreme weather conditions.
All of these trends point toward a future where data, science, and farming practices work together. The integration of soil analyses, digital technologies, and on-farm observations enables more precise resource management and better adaptation to climate risks.
Soil remains the foundation of agriculture, but data is becoming the key tool for managing it sustainably. The better we understand soil processes and their relationship with climate, the more resilient and productive agriculture will become in the future.
