-
2
-
-
84887105216
-
Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
-
D. J. Mulla, "Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps," Biosystems engineering, vol. 114, no. 4, pp. 358-371, 2013.
-
(2013)
Biosystems Engineering
, vol.114
, Issue.4
, pp. 358-371
-
-
Mulla, D.J.1
-
3
-
-
84887120344
-
Identification of agricultural crops by computer processing of erts mss data
-
M. E. Bauer and J. E. Cipra, "Identification of agricultural crops by computer processing of erts mss data," LARS Technical Reports, p. 20, 1973.
-
(1973)
LARS Technical Reports
, pp. 20
-
-
Bauer, M.E.1
Cipra, J.E.2
-
4
-
-
85034069279
-
Weed detection in soybean crops using convnets
-
A. dos Santos Ferreira, D. M. Freitas, G. G. da Silva, H. Pistori, and M. T. Folhes, "Weed detection in soybean crops using convnets," Computers and Electronics in Agriculture, vol. 143, pp. 314-324, 2017.
-
(2017)
Computers and Electronics in Agriculture
, vol.143
, pp. 314-324
-
-
Ferreira, A.S.1
Freitas, D.M.2
Da Silva, G.G.3
Pistori, H.4
Folhes, M.T.5
-
5
-
-
85050674532
-
Weeds detection in uav imagery using slic and the hough transform
-
M. D. Bah, A. Hafiane, and R. Canals, "Weeds detection in uav imagery using slic and the hough transform," in 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2017, pp. 1-6.
-
(2017)
2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE
, pp. 1-6
-
-
Bah, M.D.1
Hafiane, A.2
Canals, R.3
-
6
-
-
85058819843
-
Clustering fieldbased maize phenotyping of plant-height growth and canopy spectral dynamics using a uav remote-sensing approach
-
L. Han, G. Yang, H. Yang, B. Xu, Z. Li, and X. Yang, "Clustering fieldbased maize phenotyping of plant-height growth and canopy spectral dynamics using a uav remote-sensing approach," Frontiers in Plant Science, vol. 9, p. 1638, 2018.
-
(2018)
Frontiers in Plant Science
, vol.9
, pp. 1638
-
-
Han, L.1
Yang, G.2
Yang, H.3
Xu, B.4
Li, Z.5
Yang, X.6
-
7
-
-
85057123396
-
Remote sensing of yields: Application of uav imagery-derived ndvi for estimating maize vigor and yields in complex farming systems in sub-saharan Africa
-
I. Wahab, O. Hall, and M. Jirström, "Remote sensing of yields: Application of uav imagery-derived ndvi for estimating maize vigor and yields in complex farming systems in sub-saharan africa," Drones, vol. 2, no. 3, p. 28, 2018.
-
(2018)
Drones
, vol.2
, Issue.3
, pp. 28
-
-
Wahab, I.1
Hall, O.2
Jirström, M.3
-
8
-
-
85049887385
-
Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes
-
J. Jung, M. Maeda, A. Chang, J. Landivar, J. Yeom, and J. McGinty, "Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes," Computers and Electronics in Agriculture, vol. 152, pp. 74-81, 2018.
-
(2018)
Computers and Electronics in Agriculture
, vol.152
, pp. 74-81
-
-
Jung, J.1
Maeda, M.2
Chang, A.3
Landivar, J.4
Yeom, J.5
McGinty, J.6
-
9
-
-
85055261134
-
Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in uav images
-
M. Kerkech, A. Hafiane, and R. Canals, "Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in uav images," Computers and Electronics in Agriculture, vol. 155, pp. 237-243, 2018.
-
(2018)
Computers and Electronics in Agriculture
, vol.155
, pp. 237-243
-
-
Kerkech, M.1
Hafiane, A.2
Canals, R.3
-
10
-
-
85056639371
-
Detection of palm oil bud rot employing artificial vision
-
IOP Publishing
-
D. Montero and C. Rueda, "Detection of palm oil bud rot employing artificial vision," in IOP Conference Series: Materials Science and Engineering, vol. 437, no. 1. IOP Publishing, 2018, p. 012004.
-
(2018)
IOP Conference Series: Materials Science and Engineering
, vol.437
, Issue.1
, pp. 012004
-
-
Montero, D.1
Rueda, C.2
-
11
-
-
85028670833
-
Linking thermal imaging and soil remote sensing to enhance irrigation management of sugar beet
-
L. Quebrajo, M. Perez-Ruiz, L. Pérez-Urrestarazu, G. Martínez, and G. Egea, "Linking thermal imaging and soil remote sensing to enhance irrigation management of sugar beet," Biosystems Engineering, vol. 165, pp. 77-87, 2018.
-
(2018)
Biosystems Engineering
, vol.165
, pp. 77-87
-
-
Quebrajo, L.1
Perez-Ruiz, M.2
Pérez-Urrestarazu, L.3
Martínez, G.4
Egea, G.5
-
13
-
-
85049529086
-
Detecting mammals in uav images: Best practices to address a substantially imbalanced dataset with deep learning
-
B. Kellenberger, D. Marcos, and D. Tuia, "Detecting mammals in uav images: Best practices to address a substantially imbalanced dataset with deep learning," Remote sensing of environment, vol. 216, pp. 139-153, 2018.
-
(2018)
Remote Sensing of Environment
, vol.216
, pp. 139-153
-
-
Kellenberger, B.1
Marcos, D.2
Tuia, D.3
-
14
-
-
85050918618
-
Assessment of soil electrical conductivity using remotely sensed thermal data
-
K. Křížová, M. Kroulík, J. Haberle, J. Lukáš, and J. Kumhálová, "Assessment of soil electrical conductivity using remotely sensed thermal data," Agronomy Research, vol. 16, no. 3, pp. 784-793, 2018.
-
(2018)
Agronomy Research
, vol.16
, Issue.3
, pp. 784-793
-
-
Křížová, K.1
Kroulík, M.2
Haberle, J.3
Lukáš, J.4
Kumhálová, J.5
-
15
-
-
85059397207
-
Autonomous agricultural pesticide spraying uav
-
IOP Publishing
-
P. Garre and A. Harish, "Autonomous agricultural pesticide spraying uav," in IOP Conference Series: Materials Science and Engineering, vol. 455, no. 1. IOP Publishing, 2018, p. 012030.
-
(2018)
IOP Conference Series: Materials Science and Engineering
, vol.455
, Issue.1
, pp. 012030
-
-
Garre, P.1
Harish, A.2
-
16
-
-
84983802411
-
Develop an unmanned aerial vehicle based automatic aerial spraying system
-
X. Xue, Y. Lan, Z. Sun, C. Chang, and W. C. Hoffmann, "Develop an unmanned aerial vehicle based automatic aerial spraying system," Computers and electronics in agriculture, vol. 128, pp. 58-66, 2016.
-
(2016)
Computers and Electronics in Agriculture
, vol.128
, pp. 58-66
-
-
Xue, X.1
Lan, Y.2
Sun, Z.3
Chang, C.4
Hoffmann, W.C.5
-
17
-
-
84868629775
-
The application of small unmanned aerial systems for precision agriculture: A review
-
C. Zhang and J. M. Kovacs, "The application of small unmanned aerial systems for precision agriculture: a review," Precision agriculture, vol. 13, no. 6, pp. 693-712, 2012.
-
(2012)
Precision Agriculture
, vol.13
, Issue.6
, pp. 693-712
-
-
Zhang, C.1
Kovacs, J.M.2
-
18
-
-
85015983647
-
The application of unmanned aircraft systems to plant protection in China
-
S. Yang, X. Yang, and J. Mo, "The application of unmanned aircraft systems to plant protection in china," Precision agriculture, vol. 19, no. 2, pp. 278-292, 2018.
-
(2018)
Precision Agriculture
, vol.19
, Issue.2
, pp. 278-292
-
-
Yang, S.1
Yang, X.2
Mo, J.3
-
19
-
-
85026443520
-
Unmanned aerial vehicle remote sensing for field-based crop phenotyping: Current status and perspectives
-
G. Yang, J. Liu, C. Zhao, Z. Li, Y. Huang, H. Yu, B. Xu, X. Yang, D. Zhu, X. Zhang et al., "Unmanned aerial vehicle remote sensing for field-based crop phenotyping: current status and perspectives," Frontiers in plant science, vol. 8, p. 1111, 2017.
-
(2017)
Frontiers in Plant Science
, vol.8
, pp. 1111
-
-
Yang, G.1
Liu, J.2
Zhao, C.3
Li, Z.4
Huang, Y.5
Yu, H.6
Xu, B.7
Yang, X.8
Zhu, D.9
Zhang, X.10
-
20
-
-
85051329574
-
Review on application of drone systems in precision agriculture
-
U. R. Mogili and B. Deepak, "Review on application of drone systems in precision agriculture," Procedia computer science, vol. 133, pp. 502-509, 2018.
-
(2018)
Procedia Computer Science
, vol.133
, pp. 502-509
-
-
Mogili, U.R.1
Deepak, B.2
-
21
-
-
85050278407
-
Agriculture drones: A modern breakthrough in precision agriculture
-
V. Puri, A. Nayyar, and L. Raja, "Agriculture drones: A modern breakthrough in precision agriculture," Journal of Statistics and Management Systems, vol. 20, no. 4, pp. 507-518, 2017.
-
(2017)
Journal of Statistics and Management Systems
, vol.20
, Issue.4
, pp. 507-518
-
-
Puri, V.1
Nayyar, A.2
Raja, L.3
-
22
-
-
85058010975
-
Survey of drones for agriculture automation from planting to harvest
-
M. Kulbacki, J. Segen, W. Knieć, R. Klempous, K. Kluwak, J. Nikodem, J. Kulbacka, and A. Serester, "Survey of drones for agriculture automation from planting to harvest," in 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES). IEEE, 2018, pp. 000 353-000 358.
-
(2018)
2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES). IEEE
, pp. 000353-000358
-
-
Kulbacki, M.1
Segen, J.2
Knieć, W.3
Klempous, R.4
Kluwak, K.5
Nikodem, J.6
Kulbacka, J.7
Serester, A.8
-
23
-
-
85045989454
-
On the use of unmanned aerial systems for environmental monitoring
-
S. Manfreda, M. McCabe, P. Miller, R. Lucas, V. Pajuelo Madrigal, G. Mallinis, E. Ben Dor, D. Helman, L. Estes, G. Ciraolo et al., "On the use of unmanned aerial systems for environmental monitoring," Remote sensing, vol. 10, no. 4, p. 641, 2018.
-
(2018)
Remote Sensing
, vol.10
, Issue.4
, pp. 641
-
-
Manfreda, S.1
McCabe, M.2
Miller, P.3
Lucas, R.4
Madrigal, V.P.5
Mallinis, G.6
Dor, E.B.7
Helman, D.8
Estes, L.9
Ciraolo, G.10
-
24
-
-
85060324727
-
Perspectives for remote sensing with unmanned aerial vehicles in precision agriculture
-
W. H. Maes and K. Steppe, "Perspectives for remote sensing with unmanned aerial vehicles in precision agriculture," Trends in plant science, 2018.
-
(2018)
Trends in Plant Science
-
-
Maes, W.H.1
Steppe, K.2
-
25
-
-
85034756154
-
Hyperspectral imaging: A review on uav-based sensors, data processing and applications for agriculture and forestry
-
T. Adao, J. Hruška, L. Pádua, J. Bessa, E. Peres, R. Morais, and J. Sousa, "Hyperspectral imaging: A review on uav-based sensors, data processing and applications for agriculture and forestry," Remote Sensing, vol. 9, no. 11, p. 1110, 2017.
-
(2017)
Remote Sensing
, vol.9
, Issue.11
, pp. 1110
-
-
Adao, T.1
Hruška, J.2
Pádua, L.3
Bessa, J.4
Peres, E.5
Morais, R.6
Sousa, J.7
-
27
-
-
85032392082
-
Unmanned aerial system (uas)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
-
M. Maimaitijiang, A. Ghulam, P. Sidike, S. Hartling, M. Maimaitiyiming, K. Peterson, E. Shavers, J. Fishman, J. Peterson, S. Kadam, J. Burken, and F. Fritschi, "Unmanned aerial system (uas)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 134, pp. 43-58, 2017.
-
(2017)
ISPRS Journal of Photogrammetry and Remote Sensing
, vol.134
, pp. 43-58
-
-
Maimaitijiang, M.1
Ghulam, A.2
Sidike, P.3
Hartling, S.4
Maimaitiyiming, M.5
Peterson, K.6
Shavers, E.7
Fishman, J.8
Peterson, J.9
Kadam, S.10
Burken, J.11
Fritschi, F.12
-
28
-
-
85045660981
-
A new vegetation segmentation approach for cropped fields based on threshold detection from hue histograms
-
M. Hassanein, Z. Lari, and N. El-Sheimy, "A new vegetation segmentation approach for cropped fields based on threshold detection from hue histograms," Sensors, vol. 18, no. 4, p. 1253, 2018.
-
(2018)
Sensors
, vol.18
, Issue.4
, pp. 1253
-
-
Hassanein, M.1
Lari, Z.2
El-Sheimy, N.3
-
29
-
-
85053135190
-
Uav-based multispectral remote sensing for precision agriculture: A comparison between different cameras
-
L. Deng, Z. Mao, X. Li, Z. Hu, F. Duan, and Y. Yan, "Uav-based multispectral remote sensing for precision agriculture: A comparison between different cameras," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 146, pp. 124-136, 2018.
-
(2018)
ISPRS Journal of Photogrammetry and Remote Sensing
, vol.146
, pp. 124-136
-
-
Deng, L.1
Mao, Z.2
Li, X.3
Hu, Z.4
Duan, F.5
Yan, Y.6
-
30
-
-
85071923789
-
Effectiveness of uav-based remote sensing techniques in determining lettuce nitrogen and water stresses
-
S. Bhandari, A. Raheja, M. R. Chaichi, R. L. Green, D. Do, F. H. Pham, M. Ansari, J. G. Wolf, T. M. Sherman, and A. Espinas, "Effectiveness of uav-based remote sensing techniques in determining lettuce nitrogen and water stresses," in 14th International Conference in Precision Agriculture, 2018.
-
(2018)
14th International Conference in Precision Agriculture
-
-
Bhandari, S.1
Raheja, A.2
Chaichi, M.R.3
Green, R.L.4
Do, D.5
Pham, F.H.6
Ansari, M.7
Wolf, J.G.8
Sherman, T.M.9
Espinas, A.10
-
31
-
-
85045960753
-
3-d characterization of vineyards using a novel uav imagery-based obia procedure for precision viticulture applications
-
A. de Castro, F. Jiménez-Brenes, J. Torres-Sánchez, J. Pena, I. Borra-Serrano, and F. López-Granados, "3-d characterization of vineyards using a novel uav imagery-based obia procedure for precision viticulture applications," Remote Sensing, vol. 10, no. 4, p. 584, 2018.
-
(2018)
Remote Sensing
, vol.10
, Issue.4
, pp. 584
-
-
De Castro, A.1
Jiménez-Brenes, F.2
Torres-Sánchez, J.3
Pena, J.4
Borra-Serrano, I.5
López-Granados, F.6
-
32
-
-
85056565363
-
Mapping the 3d structure of almond trees using uav acquired photogrammetric point clouds and object-based image analysis
-
J. Torres-Sánchez, A. I. de Castro, J. M. Pena, F. M. Jiménez-Brenes, O. Arquero, M. Lovera, and F. López-Granados, "Mapping the 3d structure of almond trees using uav acquired photogrammetric point clouds and object-based image analysis," Biosystems Engineering, vol. 176, pp. 172-184, 2018.
-
(2018)
Biosystems Engineering
, vol.176
, pp. 172-184
-
-
Torres-Sánchez, J.1
De Castro, A.I.2
Pena, J.M.3
Jiménez-Brenes, F.M.4
Arquero, O.5
Lovera, M.6
López-Granados, F.7
-
33
-
-
85058881767
-
Intra-season crop height variability at commercial farm scales using a fixed-wing uav
-
2007
-
M. Ziliani, S. Parkes, I. Hoteit, and M. McCabe, "Intra-season crop height variability at commercial farm scales using a fixed-wing uav," Remote Sensing, vol. 10, no. 12, p. 2007, 2018.
-
(2018)
Remote Sensing
, vol.10
, Issue.12
-
-
Ziliani, M.1
Parkes, S.2
Hoteit, I.3
McCabe, M.4
-
34
-
-
85053609099
-
Weedmap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
-
I. Sa, M. Popović, R. Khanna, Z. Chen, P. Lottes, F. Liebisch, J. Nieto, C. Stachniss, A. Walter, and R. Siegwart, "Weedmap: a large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming," Remote Sensing, vol. 10, no. 9, p. 1423, 2018.
-
(2018)
Remote Sensing
, vol.10
, Issue.9
, pp. 1423
-
-
Sa, I.1
Popović, M.2
Khanna, R.3
Chen, Z.4
Lottes, P.5
Liebisch, F.6
Nieto, J.7
Stachniss, C.8
Walter, A.9
Siegwart, R.10
-
35
-
-
85047214482
-
Detection of homogeneous wheat areas using multi-temporal uas images and ground truth data analyzed by cluster analysis
-
S. Marino and A. Alvino, "Detection of homogeneous wheat areas using multi-temporal uas images and ground truth data analyzed by cluster analysis," European Journal of Remote Sensing, vol. 51, no. 1, pp. 266-275, 2018.
-
(2018)
European Journal of Remote Sensing
, vol.51
, Issue.1
, pp. 266-275
-
-
Marino, S.1
Alvino, A.2
-
36
-
-
85048376707
-
Dtm generation through uav survey with a fisheye camera on a vineyard
-
G. Ronchetti, D. Pagliari, and G. Sona, "Dtm generation through uav survey with a fisheye camera on a vineyard," International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 42, p. 2, 2018.
-
(2018)
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, vol.42
, pp. 2
-
-
Ronchetti, G.1
Pagliari, D.2
Sona, G.3
-
37
-
-
84870300327
-
Structure-from-motion photogrammetry: A low-cost, effective tool for geoscience applications
-
M. J. Westoby, J. Brasington, N. F. Glasser, M. J. Hambrey, and J. Reynolds, "Structure-from-motion photogrammetry: A low-cost, effective tool for geoscience applications," Geomorphology, vol. 179, pp. 300-314, 2012.
-
(2012)
Geomorphology
, vol.179
, pp. 300-314
-
-
Westoby, M.J.1
Brasington, J.2
Glasser, N.F.3
Hambrey, M.J.4
Reynolds, J.5
-
38
-
-
85050487335
-
Estimating biomass and nitrogen amount of barley and grass using uav and aircraft based spectral and photogrammetric 3d features
-
R. Näsi, N. Viljanen, J. Kaivosoja, K. Alhonoja, T. Hakala, L. Markelin, and E. Honkavaara, "Estimating biomass and nitrogen amount of barley and grass using uav and aircraft based spectral and photogrammetric 3d features," Remote Sensing, vol. 10, no. 7, p. 1082, 2018.
-
(2018)
Remote Sensing
, vol.10
, Issue.7
, pp. 1082
-
-
Näsi, R.1
Viljanen, N.2
Kaivosoja, J.3
Alhonoja, K.4
Hakala, T.5
Markelin, L.6
Honkavaara, E.7
-
39
-
-
85063307342
-
Monitoring of crop fields using multispectral and thermal imagery from uav
-
P. L. Raeva, J. Šedina, and A. Dlesk, "Monitoring of crop fields using multispectral and thermal imagery from uav," European Journal of Remote Sensing, pp. 1-10, 2018.
-
(2018)
European Journal of Remote Sensing
, pp. 1-10
-
-
Raeva, P.L.1
Šedina, J.2
Dlesk, A.3
-
40
-
-
85037535528
-
Multi-temporal high-resolution imaging spectroscopy with hyperspectral 2d imagers-from theory to application
-
H. Aasen and A. Bolten, "Multi-temporal high-resolution imaging spectroscopy with hyperspectral 2d imagers-from theory to application," Remote Sensing of Environment, vol. 205, pp. 374-389, 2018.
-
(2018)
Remote Sensing of Environment
, vol.205
, pp. 374-389
-
-
Aasen, H.1
Bolten, A.2
-
41
-
-
85040366968
-
Automated collagen proportional area extraction in liver biopsy images using a novel classification via clustering algorithm
-
D. C. Tsouros, P. N. Smyrlis, M. G. Tsipouras, D. G. Tsalikakis, N. Giannakeas, A. T. Tzallas, and P. Manousou, "Automated collagen proportional area extraction in liver biopsy images using a novel classification via clustering algorithm," in 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2017, pp. 30-34.
-
(2017)
2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS). IEEE
, pp. 30-34
-
-
Tsouros, D.C.1
Smyrlis, P.N.2
Tsipouras, M.G.3
Tsalikakis, D.G.4
Giannakeas, N.5
Tzallas, A.T.6
Manousou, P.7
-
42
-
-
26044433213
-
Prediction in marketing using the support vector machine
-
D. Cui and D. Curry, "Prediction in marketing using the support vector machine," Marketing Science, vol. 24, no. 4, pp. 595-615, 2005.
-
(2005)
Marketing Science
, vol.24
, Issue.4
, pp. 595-615
-
-
Cui, D.1
Curry, D.2
-
43
-
-
84872256757
-
Machine learning and its applications to biology
-
A. L. Tarca, V. J. Carey, X.-w. Chen, R. Romero, and S. Dřaghici, "Machine learning and its applications to biology," PLoS computational biology, vol. 3, no. 6, p. e116, 2007.
-
(2007)
PLoS Computational Biology
, vol.3
, Issue.6
, pp. e116
-
-
Tarca, A.L.1
Carey, V.J.2
Chen, X.-W.3
Romero, R.4
Dřaghici, S.5
-
44
-
-
85043775154
-
Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging
-
Z. Khan, V. Rahimi-Eichi, S. Haefele, T. Garnett, and S. J. Miklavcic, "Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging," Plant methods, vol. 14, no. 1, p. 20, 2018.
-
(2018)
Plant Methods
, vol.14
, Issue.1
, pp. 20
-
-
Khan, Z.1
Rahimi-Eichi, V.2
Haefele, S.3
Garnett, T.4
Miklavcic, S.J.5
-
45
-
-
85071932289
-
An automatic random forest-obia algorithm for early weed mapping between and within crop rows using uav imagery
-
A. I. De Castro, J. Torres-Snchez, J. M. Pea, F. M. Jimnez-Brenes, O. Csillik, and F. Lpez-Granados, "An automatic random forest-obia algorithm for early weed mapping between and within crop rows using uav imagery," Remote Sensing, vol. 10, no. 2, 2018.
-
(2018)
Remote Sensing
, vol.10
, Issue.2
-
-
De Castro, A.I.1
Torres-Snchez, J.2
Pea, J.M.3
Jimnez-Brenes, F.M.4
Csillik, O.5
Lpez-Granados, F.6
-
46
-
-
85046034633
-
A fully convolutional network for weed mapping of unmanned aerial vehicle (uav) imagery
-
04
-
H. Huang, J. Deng, Y. Lan, A. Yang, X. Deng, and L. Zhang, "A fully convolutional network for weed mapping of unmanned aerial vehicle (uav) imagery," PLOS ONE, vol. 13, no. 4, pp. 1-19, 04 2018.
-
(2018)
PLOS ONE
, vol.13
, Issue.4
, pp. 1-19
-
-
Huang, H.1
Deng, J.2
Lan, Y.3
Yang, A.4
Deng, X.5
Zhang, L.6
-
47
-
-
85057073177
-
Deep learning with unsupervised data labeling for weed detection in line crops in uav images
-
M. D. Bah, A. Hafiane, and R. Canals, "Deep learning with unsupervised data labeling for weed detection in line crops in uav images," Remote Sensing, vol. 10, no. 11, 2018.
-
(2018)
Remote Sensing
, vol.10
, Issue.11
-
-
Bah, M.D.1
Hafiane, A.2
Canals, R.3
-
48
-
-
85057109309
-
Deep learning based classification system for identifying weeds using high-resolution uav imagery
-
M. D. Bah, E. Dericquebourg, A. Hafiane, and R. Canals, "Deep learning based classification system for identifying weeds using high-resolution uav imagery," in Science and Information Conference, 2018, pp. 176-187.
-
(2018)
Science and Information Conference
, pp. 176-187
-
-
Bah, M.D.1
Dericquebourg, E.2
Hafiane, A.3
Canals, R.4
-
49
-
-
85032742762
-
Artificial neural network to predict vine water status spatial variability using multispectral information obtained from an unmanned aerial vehicle (uav)
-
T. Poblete, S. Ortega-Faras, M. A. Moreno, and M. Bardeen, "Artificial neural network to predict vine water status spatial variability using multispectral information obtained from an unmanned aerial vehicle (uav)," Sensors, vol. 17, no. 11, 2017.
-
(2017)
Sensors
, vol.17
, Issue.11
-
-
Poblete, T.1
Ortega-Faras, S.2
Moreno, M.A.3
Bardeen, M.4
-
50
-
-
85050487335
-
Estimating biomass and nitrogen amount of barley and grass using uav and aircraft based spectral and photogrammetric 3d features
-
R. Nsi, N. Viljanen, J. Kaivosoja, K. Alhonoja, T. Hakala, L. Markelin, and E. Honkavaara, "Estimating biomass and nitrogen amount of barley and grass using uav and aircraft based spectral and photogrammetric 3d features," Remote Sensing, vol. 10, no. 7, 2018.
-
(2018)
Remote Sensing
, vol.10
, Issue.7
-
-
Nsi, R.1
Viljanen, N.2
Kaivosoja, J.3
Alhonoja, K.4
Hakala, T.5
Markelin, L.6
Honkavaara, E.7
-
51
-
-
85058886907
-
A comparative assessment of different modeling algorithms for estimating leaf nitrogen content in winter wheat using multispectral images from an unmanned aerial vehicle
-
H. Zheng, W. Li, J. Jiang, Y. Liu, T. Cheng, Y. Tian, Y. Zhu, W. Cao, Y. Zhang, and X. Yao, "A comparative assessment of different modeling algorithms for estimating leaf nitrogen content in winter wheat using multispectral images from an unmanned aerial vehicle," Remote Sensing, vol. 10, no. 12, 2018.
-
(2018)
Remote Sensing
, vol.10
, Issue.12
-
-
Zheng, H.1
Li, W.2
Jiang, J.3
Liu, Y.4
Cheng, T.5
Tian, Y.6
Zhu, Y.7
Cao, W.8
Zhang, Y.9
Yao, X.10
-
52
-
-
85053603765
-
Combining uav-based vegetation indices and image classification to estimate flower number in oilseed rape
-
L. Wan, Y. Li, H. Cen, J. Zhu, W. Yin, W. Wu, H. Zhu, D. Sun, W. Zhou, and Y. He, "Combining uav-based vegetation indices and image classification to estimate flower number in oilseed rape," Remote Sensing, vol. 10, no. 9, 2018.
-
(2018)
Remote Sensing
, vol.10
, Issue.9
-
-
Wan, L.1
Li, Y.2
Cen, H.3
Zhu, J.4
Yin, W.5
Wu, W.6
Zhu, H.7
Sun, D.8
Zhou, W.9
He, Y.10
-
53
-
-
85052088926
-
Machine learning in agriculture: A review
-
K. Liakos, P. Busato, D. Moshou, S. Pearson, and D. Bochtis, "Machine learning in agriculture: A review," Sensors, vol. 18, no. 8, p. 2674, 2018.
-
(2018)
Sensors
, vol.18
, Issue.8
, pp. 2674
-
-
Liakos, K.1
Busato, P.2
Moshou, D.3
Pearson, S.4
Bochtis, D.5
-
54
-
-
85044053926
-
Imaging from manned ultra-light and unmanned aerial vehicles for estimating properties of spring wheat
-
G. Mozgeris, D. Jonikavičius, D. Jovarauskas, R. Zinkevičius, S. Petkevičius, and D. Steponavičius, "Imaging from manned ultra-light and unmanned aerial vehicles for estimating properties of spring wheat," Precision Agriculture, vol. 19, no. 5, pp. 876-894, 2018.
-
(2018)
Precision Agriculture
, vol.19
, Issue.5
, pp. 876-894
-
-
Mozgeris, G.1
Jonikavičius, D.2
Jovarauskas, D.3
Zinkevičius, R.4
Petkevičius, S.5
Steponavičius, D.6
-
55
-
-
85042220917
-
Uav low-altitude remote sensing for precision weed management
-
Y. Huang, K. N. Reddy, R. S. Fletcher, and D. Pennington, "Uav low-altitude remote sensing for precision weed management," Weed technology, vol. 32, no. 1, pp. 2-6, 2018.
-
(2018)
Weed Technology
, vol.32
, Issue.1
, pp. 2-6
-
-
Huang, Y.1
Reddy, K.N.2
Fletcher, R.S.3
Pennington, D.4
-
56
-
-
85016419599
-
Monitoring nitrogen status of potatoes using small unmanned aerial vehicles
-
E. R. Hunt, D. A. Horneck, C. B. Spinelli, R. W. Turner, A. E. Bruce, D. J. Gadler, J. J. Brungardt, and P. B. Hamm, "Monitoring nitrogen status of potatoes using small unmanned aerial vehicles," Precision agriculture, vol. 19, no. 2, pp. 314-333, 2018.
-
(2018)
Precision Agriculture
, vol.19
, Issue.2
, pp. 314-333
-
-
Hunt, E.R.1
Horneck, D.A.2
Spinelli, C.B.3
Turner, R.W.4
Bruce, A.E.5
Gadler, D.J.6
Brungardt, J.J.7
Hamm, P.B.8
-
57
-
-
0026307399
-
Vegetation indices in crop assessments
-
C. Wiegand, A. Richardson, D. Escobar, and A. Gerbermann, "Vegetation indices in crop assessments," Remote Sensing of Environment, vol. 35, no. 2, pp. 105-119, 1991.
-
(1991)
Remote Sensing of Environment
, vol.35
, Issue.2
, pp. 105-119
-
-
Wiegand, C.1
Richardson, A.2
Escobar, D.3
Gerbermann, A.4
-
58
-
-
79952825456
-
A review of remote sensing and vegetation indices in precision farming
-
C. Tanriverdi, "A review of remote sensing and vegetation indices in precision farming," J. Sci. Eng, vol. 9, pp. 69-76, 2006.
-
(2006)
J. Sci. Eng
, vol.9
, pp. 69-76
-
-
Tanriverdi, C.1
-
59
-
-
0029520087
-
A review of vegetation indices
-
A. Bannari, D. Morin, F. Bonn, and A. Huete, "A review of vegetation indices," Remote sensing reviews, vol. 13, no. 1-2, pp. 95-120, 1995.
-
(1995)
Remote Sensing Reviews
, vol.13
, Issue.1-2
, pp. 95-120
-
-
Bannari, A.1
Morin, D.2
Bonn, F.3
Huete, A.4
|