Detection of Colchicum autumnale in drone images, using a machine-learning approach.

Autor: Petrich, Lukas^1,2 (AUTHOR) lukas.petrich@uni-ulm.de, Lohrmann, Georg² (AUTHOR), Neumann, Matthias¹ (AUTHOR), Martin, Fabio² (AUTHOR), Frey, Andreas² (AUTHOR), Stoll, Albert² (AUTHOR), Schmidt, Volker¹ (AUTHOR)

Publikováno v: Precision Agriculture. Dec2020, Vol. 21 Issue 6, p1291-1303. 13p.

Vision based detection of volunteer potatoes as weeds in sugar beet and cereal fields

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dris___00893::ac43dbe2a5e87b0ac5beb24f238a3c8f

Vision based detection of volunteer potatoes as weeds in sugar beet and cereal fields

Autor: Nieuwenhuizen, A. T., Den Oever, J. H. W., Tang, L., Hofstee, J. W., Joachim Müller

Publikováno v: Scopus-Elsevier
Vision based detection of volunteer potatoes as weeds in sugar beet and cereal fields: Precision Agriculture '05 conferentie, Uppsala
Vision based detection of volunteer potatoes as weeds in sugar beet and cereal fields: Precision Agriculture '05 conferentie, Uppsala,. Uppsala: Wageningen Academic Publishers
Publons

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::16e81524becf3ee8d4b88cb33424a399
http://www.scopus.com/inward/record.url?eid=2-s2.0-38549086073&partnerID=MN8TOARS

Detection of Colchicum autumnale in drone images, using a machine-learning approach

Autor: Andreas Frey, Matthias Neumann, Lukas Petrich, Georg Lohrmann, Albert Stoll, Volker Schmidt, Fabio Martin

Publikováno v: Precision Agriculture. 21:1291-1303

Colchicum autumnale are toxic autumn-blooming flowering plants, which often grow on extensive meadows and pastures. Thus, they pose a threat to farm animals especially in hay and silage. Intensive grassland management or the use of herbicides could r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::47fc7164d03f3eae11b1d00d11d792e1
https://doi.org/10.1007/s11119-020-09721-7

Colour based detection of volunteer potatoes as weeds in sugar beet fields using machine vision.

Autor: A. Nieuwenhuizen, L. Tang, J. Hofstee, J. Müller, E. van Henten

Publikováno v: Precision Agriculture; Dec2007, Vol. 8 Issue 6, p267-278, 12p