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Volumn , Issue , 2019, Pages 377-384

Data acquisition and analysis methods in UAV- based applications for precision agriculture

Author keywords

Image processing; IoT; Precision Agriculture; Remote Sensing; Review; Smart Farming; UAS; UAV; Unmanned Aerial System; Unmanned Aerial Vehicle

Indexed keywords

ANTENNAS; DATA ACQUISITION; DATA HANDLING; DISTRIBUTED COMPUTER SYSTEMS; ENVIRONMENTAL TECHNOLOGY; GLOBAL POSITIONING SYSTEM; IMAGE PROCESSING; PRECISION AGRICULTURE; PROCESSING; REMOTE SENSING; REVIEWS; UNMANNED AERIAL VEHICLES (UAV);

EID: 85071955213     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DCOSS.2019.00080     Document Type: Conference Paper
Times cited : (42)

References (59)
  • 2
    • 84887105216 scopus 로고    scopus 로고
    • 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 scopus 로고
    • 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
  • 6
    • 85058819843 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 9
    • 85055261134 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 17
    • 84868629775 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 24
    • 85060324727 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 28
    • 85045660981 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 31
    • 85045960753 scopus 로고    scopus 로고
    • 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
  • 33
    • 85058881767 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 37
    • 84870300327 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 42
    • 26044433213 scopus 로고    scopus 로고
    • 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
  • 44
    • 85043775154 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 55
    • 85042220917 scopus 로고    scopus 로고
    • 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
  • 58
    • 79952825456 scopus 로고    scopus 로고
    • 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


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