Design, development, and field evaluation of a dual-mode robotic-human system for in situ soil compaction assessment in agricultural fields
Rattachement africain : ca. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Soil compaction is a major constraint in mechanized agriculture. Its accurate measurement is essential for understanding machinery impacts, optimizing crop growth, and guiding soil management practices. However, its strong spatial and depth-wise variability makes it difficult to characterize with traditional hand-held penetrometers alone. This study aimed to develop and evaluate a robotic penetrometer system for field-scale compaction mapping in sandy-loam potato–forage rotations on Prince Edward Island (PEI), Canada, over two consecutive growing seasons (2024 and 2025) at six depths. In 2024, we collected co-located penetration-resistance profiles with a FieldScout SC900 and the robotic penetrometer in electrical-conductivity (EC) zones derived from SWAT Box maps in two potato fields. In 2025, after calibration, the robot was deployed on a regular grid in two alfalfa fields that had grown potatoes in the previous year. In total, depth-wise mean profiles from the two instruments showed excellent agreement (R 2 ≈0.97), while point-wise paired measurements exhibited moderate but positive correlation (R 2 ≈0.60), reflecting micro-scale heterogeneity and differences in insertion mechanics. Spatial results revealed low to moderate compaction with localized hotspots in the 2024 potato fields, but extensive, vertically coherent high-resistance zones in the 2025 alfalfa fields, indicating persistent subsoil compaction following intensive potato traffic and limited subsequent tillage. The study demonstrates that a calibrated robotic penetrometer can reproduce conventional measurements while providing higher spatial resolution, deeper and more consistent penetration, and seamless integration with geospatial analysis. These capabilities support controlled-traffic farming, targeted subsoiling, and data-driven decision support for managing soil structure in traffic-sensitive cropping systems.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Design, development, and field evaluation of a dual-mode robotic-human system for in situ soil compaction assessment in agricultural fields
- Date Crossref
- 01/07/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
University of Prince Edward Island Canadian Centre for Climate Change and Adaptation pays non établi dans la noticeUniversité ou école supérieure
-
University of Guelph pays non établi dans la noticeUniversité ou école supérieure
-
Faculty of Sustainable Design Engineering pays non établi dans la noticeUniversité ou école supérieure
-
Prince Edward Island Potato Board pays non établi dans la noticeInstitution
-
School of Computer Science pays non établi dans la noticeUniversité ou école supérieure
Canadian Centre for Climate Change and Adaptation — University of Prince Edward Island, University of Guelph et Faculty of Sustainable Design Engineering, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.