Saiful Azim
Academic employee FU
Plant Facilities and Workshops
Thorvaldsensvej 40
1871 Frederiksberg C
- 2022
- Published
Mapping of Agricultural Drought in Bangladesh using Geographic Information System (GIS)
Aziz, M. A., Hossain, A. B. M. Z., Moniruzzaman, M., Ahmed, R., Zahan, T., Azim, Saiful, Qayum, M. A., Al Mamun, M. A., Kader, M. A. & Rahman, N. M. F., 2022, In: Earth Systems and Environment. 6, p. 657-667Research output: Contribution to journal › Journal article › Research › peer-review
- 2021
- Published
Pre-harvest weed mapping of Cirsium arvense L. based on free satellite imagery – The importance of weed aggregation and image resolution
Rasmussen, Jesper, Azim, Saiful & Nielsen, J., 2021, In: European Journal of Agronomy. 130, 8 p., 126373.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The challenge of reproducing remote sensing data from satellites and unmanned aerial vehicles (UAVs) in the context of management zones and precision agriculture
Rasmussen, Jesper, Azim, Saiful, Boldsen, S. K., Nitschke, T., Jensen, Signe Marie, Nielsen, J. & Christensen, Svend, 2021, In: Precision Agriculture. 22, p. 834-851 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The predictive power of regression models to determine grass weed infestations in cereals based on drone imagery—statistical and practical aspects
Jensen, Signe Marie, Akhter, M. J., Azim, Saiful & Rasmussen, Jesper, 2021, In: Agronomy. 11, 11, 17 p., 2277.Research output: Contribution to journal › Journal article › Research › peer-review
- 2020
- Published
A new method to estimate the spatial correlation between planned and actual patch spraying of herbicides
Rasmussen, Jesper, Azim, Saiful, Nielsen, J., Mikkelsen, B. F., Hørfarter, R. & Christensen, Svend, 2020, In: Precision Agriculture. 21, p. 713-728Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The 2000–2017 drought risk assessment of the western and southwestern basins in Iran
Rousta, I., Olafsson, H., Moniruzzaman, M., Ardö, J., Zhang, H., Mushore, T. D., Shahin, S. & Azim, Saiful, 2020, In: Modeling Earth Systems and Environment. 6, 2, p. 1201-1221Research output: Contribution to journal › Journal article › Research › peer-review
- 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
Most downloads
-
15
downloads
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
Published -
10
downloads
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