Jesper Rasmussen
Emeritus
Section for Crop Sciences
Højbakkegård Allé 13
2630 Taastrup
- 2023
- Published
A non-replicated experimental design in faba bean (Vicia faba L.) variety testing – Embracing plant density variation as a strength
Jensen, Signe Marie, Jørgensen, J. R. & Rasmussen, Jesper, 2023, In: European Journal of Agronomy. 148, 10 p., 126851.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Site-Specific Seed Yield Prediction of Red Fescue (Festuca rubra L.)
Andreasen, Christian, Rasmussen, Jesper & Bitarafan, Z., 2023, Unleashing the potential of precision agriculture - Book of Abstracts (Posters): 14th European Conference on Precision Agriculture. Canavari, M., Vitali, G. & Mattetti, M. (eds.). Universita di Bologna, p. 119-120 2 p. P59Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
- Published
Site-Specific Seed Yield Prediction of Red Fescue (Festuca rubra L.) Based on Drone Imaging and Local Regression Models
Andreasen, Christian, Rasmussen, Jesper & Bitarafan, Z., 2023, In: Agronomy. 13, 2, 12 p., 316.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Uncovering the use and impact of mechanical weed control articles: A citation content analysis
Rasmussen, Jesper, 2023, In: Weed Research. 63, 4, p. 232-236 5 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2021
- 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
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
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
- 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
A novel approach to estimating the competitive ability of Cirsium arvense in cereals using unmanned aerial vehicle imagery
Rasmussen, Jesper & Nielsen, J., 2020, In: Weed Research. 60, 2, p. 150-160Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Droner og sted-specifik bekæmpelse af tidsler før kornhøst
Rasmussen, Jesper, Nielsen, J. & Olsen, Søren Ingvor, 2020, Miljøstyrelsen. 45 p.Research output: Book/Report › Report › Research
- Published
Mens vi vinter på den fuldautomatiske drone
Rasmussen, Jesper, 2020, In: moMentum+. 2020, 4, p. 22-26 5 p.Research output: Contribution to journal › Journal article › Communication
- Published
Optimized soil inversion in the headlands with a novel section-controlled mouldboard ploughing system
Nielsen, S. K., Carstensen, H. C., Munkholm, L. J., Nørremark, M., Rasmussen, Jesper, Bertl, J., Labouriau, R. & Green, O., 2020, In: Soil Use and Management. 36, 3, p. 470-481 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2019
- Published
Seed Yield and Lodging Assessment in Red Fescue (Festuca rubra L.) Sprayed with Trinexapac-Ethyl
Bitarafan, Z., Rasmussen, Jesper, Westergaard, Jesper Cairo & Andreasen, Christian, 7 Oct 2019, In: Agronomy. 9, 10, p. 1-9 617.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Can reproducible comparisons of cereal genotypes be generated in field experiments based on UAV imagery using RGB cameras?
Svensgaard, J., Jensen, Signe Marie, Westergaard, Jesper Cairo, Nielsen, J., Christensen, Svend & Rasmussen, Jesper, 1 May 2019, In: European Journal of Agronomy. 106, p. 49-57Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Assessing herbicide symptoms by using a logarithmic field sprayer
da Cunha, B. R., Andreasen, Christian, Rasmussen, Jesper, Nielsen, J., Ritz, C. & Streibig, Jens Carl, Apr 2019, In: Pest Management Science. 75, 4, p. 1166-1171Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Color Classification Methods for Perennial Weed Detection in Cereal Crops
Forero, M. G., Herrera-Rivera, S., Ávila-Navarro, J., Franco, C. A., Rasmussen, Jesper & Nielsen, J., 2019, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain, November 19-22, 2018, Proceedings. Vera-Rodriguez, R., Fierrez, J. & Morales, A. (eds.). Springer, p. 117-123 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11401 LNCS). (Image Processing, Computer Vision, Pattern Recognition, and Graphics, Vol. 11401).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Droner kan give herbicidebesparelser samt driftsøkonomiske gevinster
Callesen, G. E., Pedersen, Søren Marcus & Rasmussen, Jesper, 2019, In: Tidsskrift for Landoekonomi. 205, 2, p. 11-17 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- Published
Pre-harvest weed mapping of Cirsium arvense in wheat and barley with off-the-shelf UAVs
Rasmussen, Jesper, Nielsen, J., Streibig, Jens Carl, Jensen, J. E., Steenstrup Pedersen, Kim & Olsen, Søren Ingvor, 2019, In: Precision Agriculture. 20, 5, p. 983–999Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Using drone imagery to estimate lodging in red fescue (Festuca rubra)
Andreasen, Christian, Bitarafan, Z., Westergaard, Jesper Cairo & Rasmussen, Jesper, 2019, Improving sown grasslands through breeding and management. Huguenin-Elie, O., Studer, B., Kölliker, R., Regeul, D., Probo, M., Barre, P., Feuerstein, U., Roldán-Ruiz, I., Mariotte, P. & Hopkins, A. (eds.). Wageningen Academic Publishers, p. 309-311 (Grassland Science in Europe, Vol. 24).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2018
- Published
Automatic detection of thistle-weeds in cereal crops from aerial RGB images
Franco, C., Guada, C., Rodríguez, J. T., Nielsen, J., Rasmussen, Jesper, Gómez, D. & Montero, J., 2018, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 17th International Conference, IPMU 2018, Proceedings. Springer, p. 441-452 12 p. (Communications in Computer and Information Science, Vol. 855).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 4236589
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Bias in peer review of organic farming grant applications
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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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305
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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
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