J. Nielsen

发表

Potential uses of small unmanned aircraft systems (UAS) in weed research

J. E. Rasmussen, J. Nielsen, F. Garcia-Ruiz, 2013 .

Can reproducible comparisons of cereal genotypes be generated in field experiments based on UAV imagery using RGB cameras?

Jon Nielsen, Svend Christensen, Jesper Svensgaard, 2019, European Journal of Agronomy.

The challenge of reproducing remote sensing data from satellites and unmanned aerial vehicles (UAVs) in the context of management zones and precision agriculture

J. Nielsen, S. Christensen, Saiful Azim, 2020 .

Punch planting, flame weeding and delayed sowing to reduce intra-row weeds in row crops

J. Nielsen, J. Rasmussen, H. Griepentrog, 2011 .

The challenge of reproducing remote sensing data from satellites and unmanned aerial vehicles (UAVs) in the context of management zones and precision agriculture

J. Nielsen, S. Christensen, Saiful Azim, 2020, Precision Agriculture.

Color Classification Methods for Perennial Weed Detection in Cereal Crops

Manuel G. Forero, Jesper Rasmussen, Sergio Herrera-Rivera, 2018, CIARP.

Pre-harvest weed mapping of Cirsium arvense L. based on free satellite imagery – The importance of weed aggregation and image resolution

J. Nielsen, Saiful Azim, J. Rasmussen, 2021 .

Pre-harvest weed mapping of Cirsium arvense in wheat and barley with off-the-shelf UAVs

J. Nielsen, J. Streibig, J. Rasmussen, 2018, Precision Agriculture.

How Important are Crop Spatial Pattern and Density for Weed Suppression by Spring Wheat?

J. Nielsen, H. Griepentrog, J. Weiner, 2012, Weed Science.

Exploiting affine invariant regions and leaf edge shapes for weed detection

Hans Jørgen Andersen, Jon Nielsen, Jesper Rasmussen, 2015, Comput. Electron. Agric..

Simulating the influence of crop spatial pattern on canola yield

Hans W. Griepentrog, Jon Nielsen, Jannie Olsen, 2011 .

Detecting creeping thistle in sugar beet fields using vegetation indices

Hans Jørgen Andersen, Jon Nielsen, Jesper Rasmussen, 2015, Comput. Electron. Agric..

A new method to estimate the spatial correlation between planned and actual patch spraying of herbicides

J. Nielsen, S. Christensen, Saiful Azim, 2019, Precision Agriculture.

Are vegetation indices derived from consumer-grade cameras mounted on UAVs sufficiently reliable for assessing experimental plots?

Jon Nielsen, Jesper Rasmussen, Svend Christensen, 2016 .

A new method to estimate the spatial correlation between planned and actual patch spraying of herbicides

J. Nielsen, S. Christensen, Saiful Azim, 2019, Precision Agriculture.

A novel approach to estimating the competitive ability of Cirsium arvense in cereals using unmanned aerial vehicle imagery

J. Nielsen, J. Rasmussen, 2020 .

Manual geo-rectification to improve the spatial accuracy of ortho-mosaics based on images from consumer-grade unmanned aerial vehicles (UAVs)

Morten Stigaard Laursen, Jon Nielsen, René Gislum, 2019, Precision Agriculture.

The development and assessment of the accuracy of an autonomous GPS-based system for intra-row mechanical weed control in row crops

Hans W. Griepentrog, H. T. Søgaard, Michael Nørremark, 2008 .

Assessing herbicide symptoms by using a logarithmic field sprayer.

J. Nielsen, J. Streibig, J. Rasmussen, 2019, Pest management science.

Automatic Detection of Thistle-Weeds in Cereal Crops from Aerial RGB Images

Javier Montero, Daniel Gómez, J. Tinguaro Rodríguez, 2018, IPMU.