Jesper Rasmussen
Emeritus
Section for Crop Sciences
Højbakkegård Allé 13
2630 Taastrup
- 2021
- 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
- Published
Site‐specific weed management—constraints and opportunities for the weed research community: Insights from a workshop
Lati, R. N., Rasmussen, Jesper, Andujar, D., Dorado, J., Berge, T. W., Wellhausen, C., Pflanz, M., Nordmeyer, H., Schirrmann, M., Eizenberg, H., Neve, Paul, Jørgensen, R. N. & Christensen, Svend, 2021, In: Weed Research. 61, 3, p. 147-153Research output: Contribution to journal › Journal article › Research › peer-review
- Published
A new approach to quantify weed suppression, crop tolerance and weed-free yield in cereal variety trials without weed-free plots
Rasmussen, Jesper, Jensen, Signe Marie & Mariegaard Pedersen, T., 2021, In: Weed Research. 61, 5, p. 406-419Research output: Contribution to journal › Journal article › Research › peer-review
- 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 importance of spectral correction of UAV-based phenotyping with RGB cameras
Svensgaard, J., Jensen, Signe Marie, Christensen, Svend & Rasmussen, Jesper, 2021, In: Field Crops Research. 269, 108177.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 4236589
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1559
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Bias in peer review of organic farming grant applications
Research output: Contribution to journal › Journal article › Research › peer-review
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1275
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Pre-harvest assessment of perennial weeds in cereals based on images from unmanned aerial systems (UAS)
Research output: Contribution to conference › Poster › Research
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311
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Crop water stress maps for an entire growing season from visible and thermal UAV imagery
Research output: Contribution to journal › Journal article › Research › peer-review
Published