Saiful Azim
Academic employee FU
Plant Facilities and Workshops
Thorvaldsensvej 40
1871 Frederiksberg C
ORCID: 0000-0002-2686-7150
1 - 2 out of 2Page size: 10
- 2019
- Published
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, In: Precision Agriculture. 20, p. 1199-1210Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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. (eds.). p. 342 1 p. (Grassland Science in Europe, Vol. 24).Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
ID: 181346703
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The predictive power of regression models to determine grass weed infestations in cereals based on drone imagery—statistical and practical aspects
Research output: Contribution to journal › Journal article › Research › peer-review
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Pre-harvest weed mapping of Cirsium arvense L. based on free satellite imagery – The importance of weed aggregation and image resolution
Research output: Contribution to journal › Journal article › Research › peer-review
Published