Low-Cost, Compact Mobile Robot for Autonomous Soil Monitoring in Crop Fields

This paper presents the development and evaluation of a mobile robotic platform for autonomous crop field scouting and soil sensing. The system combines a durable commercial chassis kit with custom 3D-printed casings, enabling reliable operation across diverse outdoor field environments. The robot features encoder-controlled motors and a swivelmounted front frame, allowing versatile and agile navigation through narrow crop rows and uneven terrain, as demonstrated in field trials conducted in cotton and peanut fields. A soil sensing mechanism, driven by a 360° servo motor and employing a linear gear-and-rack mechanism, enables consistent soil penetration. Integrated with a low-cost 7 -in-1 soil sensor, the platform provides real-time mapping of key soil parame-ters-nitrogen, phosphorus, potassium, electrical conductivity, pH, temperature, and moisture-to support data-driven farm management decisions. Preliminary experiments evaluated the robot's field navigation and soil sensing performance. Results demonstrate the potential of the platform for low-cost, mobile soil sensing, while also highlighting limitations in the current sensor's accuracy.

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Published
2025-06-30
DOI
https://doi.org/10.1109/ur65550.2025.11077987
Citations
1
Primary Topic
Smart Agriculture and AI
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article
Field-Weighted Citation Impact
1.75
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Low-Cost, Compact Mobile Robot for Autonomous Soil Monitoring in Crop Fields

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1 citations
Smart Agriculture and AI
1.75
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Low-Cost, Compact Mobile Robot for Autonomous Soil Monitoring in Crop Fields

Kiju Lee, Shayne C. Gad, John M. Cason, Robert G. Hardin, Juan Landivar, Mahendra Bhandari, Muthukumar Bagavathiannan
article en
1 citations

Abstract

This paper presents the development and evaluation of a mobile robotic platform for autonomous crop field scouting and soil sensing. The system combines a durable commercial chassis kit with custom 3D-printed casings, enabling reliable operation across diverse outdoor field environments. The robot features encoder-controlled motors and a swivelmounted front frame, allowing versatile and agile navigation through narrow crop rows and uneven terrain, as demonstrated in field trials conducted in cotton and peanut fields. A soil sensing mechanism, driven by a 360° servo motor and employing a linear gear-and-rack mechanism, enables consistent soil penetration. Integrated with a low-cost 7 -in-1 soil sensor, the platform provides real-time mapping of key soil parame-ters-nitrogen, phosphorus, potassium, electrical conductivity, pH, temperature, and moisture-to support data-driven farm management decisions. Preliminary experiments evaluated the robot's field navigation and soil sensing performance. Results demonstrate the potential of the platform for low-cost, mobile soil sensing, while also highlighting limitations in the current sensor's accuracy.

Texas College (US), Texas A&M University (US), Texas A&M University – Corpus Christi (US)
Zero hunger
Openalex Percentile: Top 13%
Smart Agriculture and AI
1.75
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