Saiful Azim
Academic employee FU
Plant Facilities and Workshops
Thorvaldsensvej 40
1871 Frederiksberg C
ORCID: 0000-0002-2686-7150
1 - 3 out of 3Page size: 10
- 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
ID: 181346703
Most downloads
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16
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