Konferenzpaper

Autorenliste: Bund, T; Kuebler, S; Struve, C; Honermeier, B

Erschienen in: Land.Technik 2020

Herausgeberliste: Max-Eyth-Gesellschaft für Agrartechnik

Jahr der Veröffentlichung: 2020

Seiten: 61-68

ISBN: 978-3-18-092374-1

eISBN: 978-3-18-102374-7

DOI Link: https://doi.org/10.51202/9783181023747-61

Konferenz: 78th International Conference on Agricultural Engineering

Auflage: 1. Auflage

Serientitel: VDI-Berichte

Serienzählung: 2374

Abstract: 

Volumetric seed metering is state of the art for seeding small grain seeds and in particular cereals. This kind of seed distribution typically results in random spacing including doubles and skips within the trench. Hence, the question is: Does single grain seed singulation improve the potential growing area of single plants and thus, increase crop yield?Here value would be created that could be monetized through higher yield expectations and less seed costs. Picture recognition and Artificial Intelligence can be used to validate seeding quality. Research activity has been started to evaluate the quality of different seeding techniques to compare different methods of evaluating the single plant spacing accuracy and area use efficiency. To improve the validation and verification of plant spacing accuracy, a comparison of the potential growth area per plant  through Voronoi Polygons is an accepted method. Based on research activities in winter wheat, the area-based analysis delivers value to describe the quality of germination and plant distribution in the field, independent of seed rate and row width. In addition, this method can be used to describe crop and yield formation that is also an important driver for yield prediction models.

Harvard-Zitierstil: Bund, T., Kuebler, S., Struve, C. and Honermeier, B. (2020) Seed Spacing in Cereals - Using Artificial Intelligence to define a quality value of precision seed placement, in Max-Eyth-Gesellschaft für Agrartechnik (ed.) Land.Technik 2020. 1. Auflage. Düsseldorf: VDI Verlag. pp. 61-68. https://doi.org/10.51202/9783181023747-61

APA-Zitierstil: Bund, T., Kuebler, S., Struve, C., & Honermeier, B. (2020). Seed Spacing in Cereals - Using Artificial Intelligence to define a quality value of precision seed placement. In Max-Eyth-Gesellschaft für Agrartechnik (Ed.), Land.Technik 2020. (1. Auflage, pp. 61-68). VDI Verlag. https://doi.org/10.51202/9783181023747-61