Technical Notes
28 July 2025
Early Access
A test for monitoring erosion on the Cape Fear experimental hillslope using a low-cost camera

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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Department of Agriculture and Forest Sciences (DAFNE), Tuscia University, Viterbo, Italy.
Department of Agriculture and Forest Sciences (DAFNE), Tuscia University, Viterbo, Italy.
Department of Agriculture and Forest Sciences (DAFNE), Tuscia University, Viterbo, Italy.
Department for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), Tuscia University, Viterbo, Italy.
Department for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), Tuscia University, Viterbo, Italy.
Remote sensing and image analysis are gaining popularity as low-cost, continuous alternatives to traditional soil erosion measurement methods. This technical note presents a comparison between direct erosion measurements and image-based estimates on a semi-natural hillslope, taken before and after an artificial rainfall event. Although discrepancies between the two methods ranged from 18% to 27%, the image-based approach successfully detects rills as small as 5-7 cm, highlighting its potential for real-time, continuous monitoring in field applications.
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How to Cite
“A test for monitoring erosion on the Cape Fear experimental hillslope using a low-cost camera” (2025) Journal of Agricultural Engineering [Preprint]. doi:10.4081/jae.2025.1786.
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