RESEARCH
A drone and ground robot team is reshaping soil mapping and trimming farm labor with sharper, faster field diagnostics
24 Jun 2025

A new soil-mapping system developed at the University of Delaware is offering a faster and less labour-intensive method for analysing farmland, following its debut at the 2025 Farm Robotics Challenge.
The platform combines a drone equipped with gamma-ray sensors and a ground robot that gathers samples only in areas identified by the aerial scan. Internal tests by the research team indicated that this targeted approach reduced manual work by about 70 per cent and improved irrigation efficiency by roughly 15 per cent.
Engineers said the design was intended to fit with existing drone and robot frameworks, limiting the need for specialised hardware. "We're transforming what's possible in real-world farming," said Brian Marks, the project's lead engineer. "This isn't just a concept. It's already working in the field.'
The launch comes as US farms face persistent labour shortages and rising pressure to comply with environmental rules. Researchers argue that systems capable of directing sampling and irrigation more precisely could help smaller producers manage costs while maintaining output.
Analysts view the project as part of a wider shift toward automation in agriculture, with both early-stage companies and larger agribusiness groups investing in sensing and mapping tools. Some technical hurdles remain, including adapting the equipment to uneven terrain and variable soil conditions.
University of Delaware researchers said further trials would examine how the system performs across different crop types and regions. They added that more accurate soil data could help support long-term decisions on water use and fertiliser management as weather patterns become less predictable.
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