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Soil Tillage Quality Measurement: A Methodical Approach

Graf, Marina ORCID iD icon 1; Fuchshumer, Franz; Geimer, Marcus 1
1 Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT)

Abstract:

This paper presents a methodical approach for measuring the process quality of the agricultural task soil tillage. This is a crucial step towards the development of automation in the context of autonomous agricultural field work. Therefore, the relevant parameters that define the process quality for autonomous tillage must be identified. These parameters depend on the agricultural task, such as primary tillage, stubble cultivation, or seedbed preparation, and are based on the farmer’s expertise and focus. The quality parameters are the identified set of parameters for each task that indicate the quality of the process. For each individual parameter, the proposed measurement method can be applied. The method involves three basic steps. (1) Different algorithms are implemented to characterize the quality parameter based on, e.g., 3D point cloud data or image data. The algorithms are verified in a deterministic environment, such as a simulation environment or a test bench. (2) Afterwards, the Spearman correlation coefficient of the var-ious parameter metrics is analyzed to cluster the metrics into groups with similar physical properties. ... mehr


Preprint §
DOI: 10.5445/IR/1000173849
Veröffentlicht am 30.08.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 01.07.2024
Sprache Englisch
Identifikator KITopen-ID: 1000173849
Erschienen in AgEng 2024 Proceedings Book
Veranstaltung Agricultural Engineering Challenges in Agroecosystems Conference (AgEng 2024), Athen, Griechenland, 01.07.2024 – 04.07.2024
Seiten 367-373
Schlagwörter Tillage, Agricultural Process Quality, Measurement Method, Process Sensor Technol-ogy
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