Jesper Rasmussen

Jesper Rasmussen

Emeritus

ORCID: 0000-0002-7496-983X

Publication year:
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1 - 6 out of 6Page size: 10
  1. 2021
  2. 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. 406-419

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. 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

  4. 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. 147-153

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. 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

  6. 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

  7. 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: 4236589