Saiful Azim
Akademisk medarbejder FU
PlanteFaciliteter & Værksteder
Thorvaldsensvej 40
1871 Frederiksberg C
ORCID: 0000-0002-2686-7150
1 - 2 ud af 2Pr. side: 10
- 2019
- Udgivet
Manual geo-rectification to improve the spatial accuracy of ortho-mosaics based on images from consumer-grade unmanned aerial vehicles (UAVs)
Azim, Saiful, Rasmussen, Jesper, Nielsen, J., Gislum, R., Laursen, M. S. & Christensen, Svend, 2019, I: Precision Agriculture. 20, s. 1199-1210Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Measuring height of red fescue (Festuca rubra) plots using drone imagery
Andreasen, Christian, Bitarafan, Z., Azim, Saiful & Rasmussen, Jesper, 2019, Improving sown grasslands through breeding and management: Proceedings of the Joint 20th Symposium of the European Grassland Federation and the 33rd Meeting of the EUCARPIA Section "Fodder Crops and Amenity Grasses". Huguenin-Elie, O., Studer, B., Kölliker, R., Reheul, D., Probo, M., P. B., Feuerstein, U., Roldán-Ruiz, I., Mariotte, P. & Hopkins, A. (red.). s. 342 1 s. (Grassland Science in Europe, Bind 24).Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
ID: 181346703
Flest downloads
-
16
downloads
The predictive power of regression models to determine grass weed infestations in cereals based on drone imagery—statistical and practical aspects
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
10
downloads
Pre-harvest weed mapping of Cirsium arvense L. based on free satellite imagery – The importance of weed aggregation and image resolution
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet