-
2
-
-
0035478854
-
Random forests
-
L. Breiman. Random forests. Machine Learning, 45(1):5-32, 2001.
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
3
-
-
84912137635
-
Combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system
-
J. Geipel, J. Link, and W. Claupein. Combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system. Remote Sensing, 6(11):10335, 2014.
-
(2014)
Remote Sensing
, vol.6
, Issue.11
, pp. 10335
-
-
Geipel, J.1
Link, J.2
Claupein, W.3
-
4
-
-
84861191044
-
Support vector machines for crop/weeds identification in maize fields
-
J. M. Guerrero, G. Pajares, M. Montalvo, J. Romeo, and M. Guijarro. Support vector machines for crop/weeds identification in maize fields. Expert Systems with Applications, 39(12):11149-11155, 2012.
-
(2012)
Expert Systems with Applications
, vol.39
, Issue.12
, pp. 11149-11155
-
-
Guerrero, J.M.1
Pajares, G.2
Montalvo, M.3
Romeo, J.4
Guijarro, M.5
-
5
-
-
84878353036
-
Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model
-
W. Guo, U. K. Rage, and S. Ninomiya. Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model. Computers and Electronics in Agriculture, 96:58-66, 2013.
-
(2013)
Computers and Electronics in Agriculture
, vol.96
, pp. 58-66
-
-
Guo, W.1
Rage, U.K.2
Ninomiya, S.3
-
6
-
-
84969174961
-
A survey of image processing techniques for plant extraction and segmentation in the field
-
E. Hamuda, M. Glavin, and E. Jones. A survey of image processing techniques for plant extraction and segmentation in the field. Computers and Electronics in Agriculture, 125:184-199, 2016.
-
(2016)
Computers and Electronics in Agriculture
, vol.125
, pp. 184-199
-
-
Hamuda, E.1
Glavin, M.2
Jones, E.3
-
7
-
-
0036100190
-
How sustainable agriculture can address the environmental and human health harms of industrial agriculture
-
L. Horrigan, R. S. Lawrence, and P. Walker. How sustainable agriculture can address the environmental and human health harms of industrial agriculture. Environ Health Perspect, 110:445-56, 2002.
-
(2002)
Environ Health Perspect
, vol.110
, pp. 445-456
-
-
Horrigan, L.1
Lawrence, R.S.2
Walker, P.3
-
8
-
-
84939801268
-
Sugar beet (beta vulgaris l.) and thistle (cirsium arvensis l.) discrimination based on field spectral data
-
G. R. F. Jose, D. Wulfsohn, and J. Rasmussen. Sugar beet (beta vulgaris l.) and thistle (cirsium arvensis l.) discrimination based on field spectral data. Biosystems Engineering, 139:1-15, 2015.
-
(2015)
Biosystems Engineering
, vol.139
, pp. 1-15
-
-
Jose, G.R.F.1
Wulfsohn, D.2
Rasmussen, J.3
-
9
-
-
84952900716
-
Beyond point clouds - 3d mapping and field parameter measurements using uavs
-
R. Khanna, M. Möller, J. Pfeifer, F. Liebisch, A. Walter, and R. Siegwart. Beyond point clouds - 3d mapping and field parameter measurements using uavs. In Proc. of the IEEE Int. Conf. on Emerging Technologies Factory Automation (ETFA), pages 1-4, 2015.
-
(2015)
Proc. of the IEEE Int. Conf. on Emerging Technologies Factory Automation (ETFA)
, pp. 1-4
-
-
Khanna, R.1
Möller, M.2
Pfeifer, J.3
Liebisch, F.4
Walter, A.5
Siegwart, R.6
-
10
-
-
84977512936
-
An effective classification system for separating sugar beets and weeds for precision farming applications
-
P. Lottes, M. Höferlin, S. Sander, M. Müter, P. Schulze-Lammers, and C. Stachniss. An effective classification system for separating sugar beets and weeds for precision farming applications. In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2016.
-
(2016)
Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA)
-
-
Lottes, P.1
Höferlin, M.2
Sander, S.3
Müter, M.4
Schulze-Lammers, P.5
Stachniss, C.6
-
11
-
-
85027972924
-
Effective visionbased classification for separating sugar beets and weeds for precision farming
-
P. Lottes, M. Höferlin, S. Sander, and C. Stachniss. Effective visionbased classification for separating sugar beets and weeds for precision farming. Journal of Field Robotics, 2016.
-
(2016)
Journal of Field Robotics
-
-
Lottes, P.1
Höferlin, M.2
Sander, S.3
Stachniss, C.4
-
12
-
-
47049087271
-
Verification of color vegetation indices for automated crop imaging applications
-
G. E. Meyer and J. C Neto. Verification of color vegetation indices for automated crop imaging applications. Computers and Electronics in Agriculture, 63(2):282-293, 2008.
-
(2008)
Computers and Electronics in Agriculture
, vol.63
, Issue.2
, pp. 282-293
-
-
Meyer, G.E.1
Neto, J.C.2
-
14
-
-
84863096384
-
Automatic detection of crop rows in maize fields with high weeds pressure
-
M. Montalvo, G. Pajares, J. M. Guerrero, J. Romeo, M. Guijarro, A. Ribeiro, J. J. Ruz, and J. M. Cruz. Automatic detection of crop rows in maize fields with high weeds pressure. Expert System Applications, 39(15):11889-11897, 2012.
-
(2012)
Expert System Applications
, vol.39
, Issue.15
, pp. 11889-11897
-
-
Montalvo, M.1
Pajares, G.2
Guerrero, J.M.3
Romeo, J.4
Guijarro, M.5
Ribeiro, A.6
Ruz, J.J.7
Cruz, J.M.8
-
15
-
-
85027965783
-
Semantic segmentation of mixed crops using deep convolutional neural network
-
A. K. Mortensen, M. Dyrmann, H. Karstoft, R. N. Jörgensen, and R. Gislum. Semantic segmentation of mixed crops using deep convolutional neural network. In Proc. of the International Conf. of Agricultural Engineering (CIGR), 2016.
-
(2016)
Proc. of the International Conf. of Agricultural Engineering (CIGR)
-
-
Mortensen, A.K.1
Dyrmann, M.2
Karstoft, H.3
Jörgensen, R.N.4
Gislum, R.5
-
16
-
-
84885398102
-
Weed mapping in early-season maize fields using objectbased analysis of unmanned aerial vehicle uav images
-
J. M. Peña, J. Torres-Sánchez, A. I. de Castro, M. Kelly, and F. López-Granados. Weed mapping in early-season maize fields using objectbased analysis of unmanned aerial vehicle uav images. PLoS ONE, 8, 2013.
-
(2013)
PLoS ONE
, pp. 8
-
-
Peña, J.M.1
Torres-Sánchez, J.2
De Castro, A.I.3
Kelly, M.4
López-Granados, F.5
-
17
-
-
84928668178
-
Quantifying efficacy and limits of unmanned aerial vehicle uav technology for weed seedling detection as affected by sensor resolution
-
J. M. Peña, J. Torres-Sánchez, A. Serrano-Perez, A. I. de Castro, and F. López-Granados. Quantifying efficacy and limits of unmanned aerial vehicle uav technology for weed seedling detection as affected by sensor resolution. Sensors, 15(3), 2015.
-
(2015)
Sensors
, vol.15
, Issue.3
-
-
Peña, J.M.1
Torres-Sánchez, J.2
Serrano-Perez, A.3
De Castro, A.I.4
López-Granados, F.5
-
18
-
-
84941766152
-
A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method
-
M. Perez-Ortiz, J. M. Peña, P. A. Gutierrez, J. Torres-Sánchez, C. Hervás-Martínez, and F. López-Granados. A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method. Applied Soft Computing, 37:533-544, 2015.
-
(2015)
Applied Soft Computing
, vol.37
, pp. 533-544
-
-
Perez-Ortiz, M.1
Peña, J.M.2
Gutierrez, P.A.3
Torres-Sánchez, J.4
Hervás-Martínez, C.5
López-Granados, F.6
-
19
-
-
84949520283
-
Selecting patterns and features for between- and within-crop-row weed mapping using uavimagery
-
M. Perez-Ortiz, J. M. Peña, P. A. Gutierrez, J. Torres-Sánchez, C. Hervás-Martínez, and F. López-Granados. Selecting patterns and features for between- and within-crop-row weed mapping using uavimagery. Expert Systems with Applications, 47:85-94, 2016.
-
(2016)
Expert Systems with Applications
, vol.47
, pp. 85-94
-
-
Perez-Ortiz, M.1
Peña, J.M.2
Gutierrez, P.A.3
Torres-Sánchez, J.4
Hervás-Martínez, C.5
López-Granados, F.6
-
20
-
-
85027959063
-
Towards automatic UAV data interpretation for precision farming
-
J. Pfeifer, R. Khanna, C. Dragos, M. Popovic, E. Galceran, N. Kirchgessner, A. Walter, R. Siegwart, and F. Liebisch. Towards automatic UAV data interpretation for precision farming. Proc. of the International Conf. of Agricultural Engineering (CIGR), 2016.
-
(2016)
Proc. of the International Conf. of Agricultural Engineering (CIGR)
-
-
Pfeifer, J.1
Khanna, R.2
Dragos, C.3
Popovic, M.4
Galceran, E.5
Kirchgessner, N.6
Walter, A.7
Siegwart, R.8
Liebisch, F.9
-
21
-
-
0002872223
-
Monitoring vegetation systems in the great plains with erts
-
J. W. Rouse, R. H. Haas, J. A. Schell, and D. W. Deering. Monitoring Vegetation Systems in the Great Plains with Erts. NASA Special Publication, 351:309, 1974.
-
(1974)
NASA Special Publication
, vol.351
, pp. 309
-
-
Rouse, J.W.1
Haas, R.H.2
Schell, J.A.3
Deering, D.W.4
-
23
-
-
84926633657
-
An automatic object-based method for optimal thresholding in uav images: Application for vegetation detection in herbaceous crops
-
J. Torres-Sanchez, F. López-Granados, and J. M. Peña. An automatic object-based method for optimal thresholding in uav images: Application for vegetation detection in herbaceous crops. Computers and Electronics in Agriculture, 114:43-52, 2015.
-
(2015)
Computers and Electronics in Agriculture
, vol.114
, pp. 43-52
-
-
Torres-Sanchez, J.1
López-Granados, F.2
Peña, J.M.3
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