New web-based tool SSPOT optimises soil sampling for precision agriculture
The USDA Agricultural Research Service (ARS) in collaboration with the University of Nebraska–Lincoln (UNL) and the ARS Partnership for Data Innovations (PDI) have developed a digital tool that streamlines the process of selecting optimal soil sample locations. The Soil Sample Planning Organizer Tool (SSPOT) tool is now available.
Understanding soil variability is key to effective precision farming. Factors such as pH levels, nutrient distribution, and organic carbon content influence crop productivity. However, determining the right number and placement of soil samples remains a challenge. SSPOT addresses this by using advanced algorithms to identify the most representative sampling locations within a given area, saving time and resources while improving data accuracy.
Specialised optimisation algorithms
With SSPOT, farmers and land managers can select their Area of Interest (AOI) on an interactive map and apply 1 of 2 specialised optimisation algorithms. These algorithms leverage data from the USDA Soil Survey Geographic Database, ensuring that soil samples comprehensively reflect field conditions. Users can customise sampling parameters and export their results for practical use in the field.
How can farmers benefit?
- Save time and costs: SSPOT simplifies sampling decisions, reducing unnecessary fieldwork and improving efficiency;
- Improve soil health monitoring: The tool helps farmers make data-driven decisions to enhance soil fertility and optimize fertiliser use;
- Enhance sustainability: By mapping soil variability accurately, farmers can minimise environmental impact while maintaining crop productivity.
Collaborative effort
SSPOT is the result of interdisciplinary collaboration. The initial algorithm was developed at UNL by Trenton Franz, a professor of hydrogeophysics, alongside consultant Ben Cook, who created the first SSPOT prototype. The USDA ARS team refined and tested the software, integrating feedback from industry stakeholders. Esri, Inc., an industry leader in geographic information system (GIS) technology, provided crucial support in developing the tool’s interface.
“Every project aiming to understand soil variability faces the same questions: How many samples should I take, and where should I collect them? SSPOT was designed to help farmers and researchers answer these questions efficiently,” said Franz.
Looking ahead
Beyond its immediate benefits for farmers, SSPOT will support the USDA’s Natural Resources Conservation Service in conservation monitoring activities. As precision agriculture evolves, digital tools like SSPOT will play an increasingly vital role in sustainable soil management worldwide.
