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Volumn 19, Issue 2, 2018, Pages 314-333

Monitoring nitrogen status of potatoes using small unmanned aerial vehicles

Author keywords

Chlorophyll meter; Color infrared imagery; Leaf area index; Sensor calibration; Solanum tuberosum L; Spectral indices; Unmanned aircraft systems

Indexed keywords

CALIBRATION; CHLOROPHYLL; EXPERIMENTAL DESIGN; FERTILIZER APPLICATION; GROWING SEASON; LEAF AREA INDEX; NDVI; NITROGEN; NUTRIENT LIMITATION; PIXEL; POTATO; PRECISION AGRICULTURE; REMOTE SENSING; SATELLITE IMAGERY; UNMANNED VEHICLE; WORLDVIEW;

EID: 85016419599     PISSN: 13852256     EISSN: 15731618     Source Type: Journal    
DOI: 10.1007/s11119-017-9518-5     Document Type: Article
Times cited : (67)

References (58)
  • 3
    • 84912050810 scopus 로고    scopus 로고
    • Applications of georeferenced high-resolution images obtained with unmanned aerial vehicles. Part I: Description of image acquisition and processing
    • Ballesteros, R., Ortega, J. F., Hernández, D., & Moreno, M. A. (2014). Applications of georeferenced high-resolution images obtained with unmanned aerial vehicles. Part I: Description of image acquisition and processing. Precision Agriculture, 15, 579–592.
    • (2014) Precision Agriculture , vol.15 , pp. 579-592
    • Ballesteros, R.1    Ortega, J.F.2    Hernández, D.3    Moreno, M.A.4
  • 4
    • 0026305589 scopus 로고
    • Potentials and limits of vegetation indices for LAI and APAR assessment
    • Baret, F., & Guyot, G. (1991). Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment, 35, 161–173.
    • (1991) Remote Sensing of Environment , vol.35 , pp. 161-173
    • Baret, F.1    Guyot, G.2
  • 5
    • 33847629701 scopus 로고    scopus 로고
    • Quantification of plant stress using remote sensing observations and crop models: the case of nitrogen management
    • COI: 1:CAS:528:DC%2BD2sXislCrt7Y%3D, PID: 17220515
    • Baret, F., Houlès, V., & Guérif, M. (2007). Quantification of plant stress using remote sensing observations and crop models: the case of nitrogen management. Journal of Experimental Botany, 58, 869–880.
    • (2007) Journal of Experimental Botany , vol.58 , pp. 869-880
    • Baret, F.1    Houlès, V.2    Guérif, M.3
  • 7
    • 0030457797 scopus 로고    scopus 로고
    • Analysis of aerial photography for nitrogen stress within corn fields
    • Blackmer, T. M., Schepers, J. S., Varvel, G. E., & Meyer, G. E. (1996). Analysis of aerial photography for nitrogen stress within corn fields. Agronomy Journal, 88, 729–733.
    • (1996) Agronomy Journal , vol.88 , pp. 729-733
    • Blackmer, T.M.1    Schepers, J.S.2    Varvel, G.E.3    Meyer, G.E.4
  • 8
    • 0000218197 scopus 로고
    • The estimation of ground cover of potato by reflectance measurements
    • Bouman, B. A. M., Uenk, D., & Haverkort, A. J. (1992). The estimation of ground cover of potato by reflectance measurements. Potato Research, 35, 111–125.
    • (1992) Potato Research , vol.35 , pp. 111-125
    • Bouman, B.A.M.1    Uenk, D.2    Haverkort, A.J.3
  • 10
    • 0031463298 scopus 로고    scopus 로고
    • On the relation between NDVI, fractional vegetation cover, and leaf area index
    • Carlson, T. N., & Ripley, D. A. (1997). On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62, 241–252.
    • (1997) Remote Sensing of Environment , vol.62 , pp. 241-252
    • Carlson, T.N.1    Ripley, D.A.2
  • 13
    • 84929130795 scopus 로고    scopus 로고
    • Digital camera image formation: Processing and storage
    • Sencar HT, Memon M, (eds), Springer, New York, New York, USA
    • Deever, A., Kumar, M., & Pillman, B. (2013). Digital camera image formation: Processing and storage. In H. T. Sencar & M. Memon (Eds.), Digital image forensics (pp. 45–77). New York, New York, USA: Springer.
    • (2013) Digital image forensics , pp. 45-77
    • Deever, A.1    Kumar, M.2    Pillman, B.3
  • 14
    • 56849125511 scopus 로고    scopus 로고
    • Combined spectral index to improve ground-based estimates of nitrogen status in dryland wheat
    • Eitel, J. U. H., Long, D. S., Gessler, P. E., & Hunt, E. R. (2008). Combined spectral index to improve ground-based estimates of nitrogen status in dryland wheat. Agronomy Journal, 100, 1674–1702.
    • (2008) Agronomy Journal , vol.100 , pp. 1674-1702
    • Eitel, J.U.H.1    Long, D.S.2    Gessler, P.E.3    Hunt, E.R.4
  • 16
    • 77956646892 scopus 로고    scopus 로고
    • Characterizing vegetation indices derived from active and passive sensors
    • Fitzgerald, G. J. (2010). Characterizing vegetation indices derived from active and passive sensors. International Journal of Remote Sensing, 31, 4335–4348.
    • (2010) International Journal of Remote Sensing , vol.31 , pp. 4335-4348
    • Fitzgerald, G.J.1
  • 18
    • 1442315675 scopus 로고    scopus 로고
    • Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation
    • COI: 1:CAS:528:DC%2BD2cXislCmsLw%3D, PID: 15022830
    • Gitelson, A. A. (2004). Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation. Journal of Plant Physiology, 161, 165–173.
    • (2004) Journal of Plant Physiology , vol.161 , pp. 165-173
    • Gitelson, A.A.1
  • 19
    • 0030453414 scopus 로고    scopus 로고
    • Use of a green channel in remote sensing of global vegetation from EOS-MODIS
    • Gitelson, A. A., Kaufman, Y. J., & Merzlyak, M. N. (1996). Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sensing of Environment, 58, 289–298.
    • (1996) Remote Sensing of Environment , vol.58 , pp. 289-298
    • Gitelson, A.A.1    Kaufman, Y.J.2    Merzlyak, M.N.3
  • 21
    • 57349092466 scopus 로고    scopus 로고
    • Potato crop nitrogen status assessment to improve N fertilization management and efficiency: past–present–future
    • COI: 1:CAS:528:DC%2BC3cXhtF2ksbg%3D
    • Goffart, J. P., Olivier, M., & Frankinet, M. (2008). Potato crop nitrogen status assessment to improve N fertilization management and efficiency: past–present–future. Potato Research, 51, 355–383.
    • (2008) Potato Research , vol.51 , pp. 355-383
    • Goffart, J.P.1    Olivier, M.2    Frankinet, M.3
  • 22
    • 0036323544 scopus 로고    scopus 로고
    • Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture
    • Haboudane, D., Miller, J. R., Tremblay, N., Zarco-Tejada, P. J., & Dextraze, L. (2002). Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sensing of Environment, 81, 416–426.
    • (2002) Remote Sensing of Environment , vol.81 , pp. 416-426
    • Haboudane, D.1    Miller, J.R.2    Tremblay, N.3    Zarco-Tejada, P.J.4    Dextraze, L.5
  • 24
    • 84935499866 scopus 로고    scopus 로고
    • Meeting global food needs: realizing the potential via genetics × environment × management interactions
    • Hatfield, J. L., & Walthall, C. L. (2015). Meeting global food needs: realizing the potential via genetics × environment × management interactions. Agronomy Journal, 107, 1215–1226.
    • (2015) Agronomy Journal , vol.107 , pp. 1215-1226
    • Hatfield, J.L.1    Walthall, C.L.2
  • 26
    • 84899660257 scopus 로고    scopus 로고
    • Chlorophyll meter calibrations for chlorophyll content using measured and simulated leaf transmittances
    • COI: 1:CAS:528:DC%2BC2MXjtlaqu7w%3D
    • Hunt, E. R., & Daughtry, C. S. T. (2014). Chlorophyll meter calibrations for chlorophyll content using measured and simulated leaf transmittances. Agronomy Journal, 106, 931–939.
    • (2014) Agronomy Journal , vol.106 , pp. 931-939
    • Hunt, E.R.1    Daughtry, C.S.T.2
  • 27
    • 77956640482 scopus 로고    scopus 로고
    • Acquisition of NIR-green-blue digital photographs from unmanned aircraft for crop monitoring
    • Hunt, E. R., Hively, W. D., Fujikawa, S. J., Linden, D. S., Daughtry, C. S. T., & McCarty, G. W. (2010). Acquisition of NIR-green-blue digital photographs from unmanned aircraft for crop monitoring. Remote Sensing, 2, 290–305.
    • (2010) Remote Sensing , vol.2 , pp. 290-305
    • Hunt, E.R.1    Hively, W.D.2    Fujikawa, S.J.3    Linden, D.S.4    Daughtry, C.S.T.5    McCarty, G.W.6
  • 28
    • 79960694733 scopus 로고    scopus 로고
    • Remote sensing of leaf chlorophyll content using a visible band index
    • Hunt, E. R., Daughtry, C. S. T., Eitel, J. U. H., & Long, D. S. (2011). Remote sensing of leaf chlorophyll content using a visible band index. Agronomy Journal, 103, 1090–1099.
    • (2011) Agronomy Journal , vol.103 , pp. 1090-1099
    • Hunt, E.R.1    Daughtry, C.S.T.2    Eitel, J.U.H.3    Long, D.S.4
  • 32
    • 50849142217 scopus 로고    scopus 로고
    • Development of a two-band enhanced vegetation index without a blue band
    • Jiang, Z., Huete, A. R., Didan, K., & Miura, T. (2008). Development of a two-band enhanced vegetation index without a blue band. Remote Sensing of Environment, 112, 3833–3845.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 3833-3845
    • Jiang, Z.1    Huete, A.R.2    Didan, K.3    Miura, T.4
  • 33
    • 0038717186 scopus 로고    scopus 로고
    • Aerial photography used for spatial pattern analysis of late blight infection in irrigated potato circles
    • PID: 18943161
    • Johnson, D. A., Alldredge, J. R., Hamm, P. B., & Frazier, B. E. (2003). Aerial photography used for spatial pattern analysis of late blight infection in irrigated potato circles. Phytopathology, 93, 805–812.
    • (2003) Phytopathology , vol.93 , pp. 805-812
    • Johnson, D.A.1    Alldredge, J.R.2    Hamm, P.B.3    Frazier, B.E.4
  • 35
    • 84964600316 scopus 로고    scopus 로고
    • Estimating potato leaf chlorophyll content using ratio vegetation indices
    • Kooistra, L., & Clevers, J. G. P. W. (2016). Estimating potato leaf chlorophyll content using ratio vegetation indices. Remote Sensing Letters, 7, 611–620.
    • (2016) Remote Sensing Letters , vol.7 , pp. 611-620
    • Kooistra, L.1    Clevers, J.G.P.W.2
  • 36
  • 37
    • 77954954412 scopus 로고    scopus 로고
    • Estimating the nitrogen status of crops with a digital camera
    • Li, Y., Chen, D., Walker, C. N., & Angus, J. F. (2010). Estimating the nitrogen status of crops with a digital camera. Field Crops Research, 118, 221–227.
    • (2010) Field Crops Research , vol.118 , pp. 221-227
    • Li, Y.1    Chen, D.2    Walker, C.N.3    Angus, J.F.4
  • 38
    • 0001496319 scopus 로고    scopus 로고
    • Estimating average and proportional variograms of soil properties and their potential use in precision agriculture
    • McBratney, A. B., & Pringle, M. J. (1999). Estimating average and proportional variograms of soil properties and their potential use in precision agriculture. Precision Agriculture, 1, 125–152.
    • (1999) Precision Agriculture , vol.1 , pp. 125-152
    • McBratney, A.B.1    Pringle, M.J.2
  • 39
    • 0035118702 scopus 로고    scopus 로고
    • Deployment and calibration of reference reflectance tarps for use with airborne imaging sensors
    • Moran, M. S., Bryant, R. B., Clarke, T. R., & Qi, J. (2001). Deployment and calibration of reference reflectance tarps for use with airborne imaging sensors. Photogrammetric Engineering & Remote Sensing, 67, 273–286.
    • (2001) Photogrammetric Engineering & Remote Sensing , vol.67 , pp. 273-286
    • Moran, M.S.1    Bryant, R.B.2    Clarke, T.R.3    Qi, J.4
  • 40
    • 84887105216 scopus 로고    scopus 로고
    • Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
    • Mulla, D. J. (2013). Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps. Biosystems Engineering, 114, 358–371.
    • (2013) Biosystems Engineering , vol.114 , pp. 358-371
    • Mulla, D.J.1
  • 41
    • 84868704441 scopus 로고    scopus 로고
    • Green leaf area index estimation in maize and soybean: combining vegetation indices to achieve maximal sensitivity
    • Nguy-Robertson, A., Gitelson, A., Peng, Y., Viña, A., Arkebauer, T., & Rundquist, D. (2012). Green leaf area index estimation in maize and soybean: combining vegetation indices to achieve maximal sensitivity. Agronomy Journal, 104, 1336–1347.
    • (2012) Agronomy Journal , vol.104 , pp. 1336-1347
    • Nguy-Robertson, A.1    Gitelson, A.2    Peng, Y.3    Viña, A.4    Arkebauer, T.5    Rundquist, D.6
  • 43
    • 84896708328 scopus 로고    scopus 로고
    • Evaluation of the nitrogen sufficiency index for use with high resolution, broadband aerial imagery in a commercial potato field
    • Nigon, T. J., Mulla, D. J., Rosen, C. J., Cohen, Y., Alchanatis, V., & Rud, R. (2014). Evaluation of the nitrogen sufficiency index for use with high resolution, broadband aerial imagery in a commercial potato field. Precision Agriculture, 15, 202–226.
    • (2014) Precision Agriculture , vol.15 , pp. 202-226
    • Nigon, T.J.1    Mulla, D.J.2    Rosen, C.J.3    Cohen, Y.4    Alchanatis, V.5    Rud, R.6
  • 44
    • 84885398102 scopus 로고    scopus 로고
    • Weed mapping in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images
    • PID: 24146963
    • Peña, J. M., Torres-Sánchez, J., de Castro, A. I., Kelly, M., & López-Granados, F. (2013). Weed mapping in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images. PLoS ONE, 8(10), e77151.
    • (2013) PLoS ONE , vol.8 , Issue.10
    • Peña, J.M.1    Torres-Sánchez, J.2    de Castro, A.I.3    Kelly, M.4    López-Granados, F.5
  • 45
    • 84951143320 scopus 로고    scopus 로고
    • Are vegetation indices derived from consumer-grade cameras mounted on UAVs sufficiently reliable for assessing experimental plots?
    • Rasmussen, J., Ntakos, G., Nielson, J., Svensgaard, J., Poulsen, R. N., & Christensen, S. (2016). Are vegetation indices derived from consumer-grade cameras mounted on UAVs sufficiently reliable for assessing experimental plots? European Journal of Agronomy, 74, 75–92.
    • (2016) European Journal of Agronomy , vol.74 , pp. 75-92
    • Rasmussen, J.1    Ntakos, G.2    Nielson, J.3    Svensgaard, J.4    Poulsen, R.N.5    Christensen, S.6
  • 47
    • 0036091966 scopus 로고    scopus 로고
    • Calibrating corn color from aerial photographs to predict sidedress nitrogen need
    • Scharf, P. C., & Lory, J. A. (2002). Calibrating corn color from aerial photographs to predict sidedress nitrogen need. Agronomy Journal, 94, 397–404.
    • (2002) Agronomy Journal , vol.94 , pp. 397-404
    • Scharf, P.C.1    Lory, J.A.2
  • 48
    • 80455132293 scopus 로고    scopus 로고
    • Sensor-based nitrogen applications out-performed producer-chosen rates for corn in on-farm demonstrations
    • Scharf, P. C., Shannon, D. K., Palm, H. L., Sudduth, K. A., Drummond, S. T., Kitchen, N. R., et al. (2011). Sensor-based nitrogen applications out-performed producer-chosen rates for corn in on-farm demonstrations. Agronomy Journal, 103, 1683–1691.
    • (2011) Agronomy Journal , vol.103 , pp. 1683-1691
    • Scharf, P.C.1    Shannon, D.K.2    Palm, H.L.3    Sudduth, K.A.4    Drummond, S.T.5    Kitchen, N.R.6
  • 51
    • 85042611503 scopus 로고    scopus 로고
    • Tetracam, Inc, Chatsworth, California, USA
    • Tetracam, Inc. (2011). ADC users guide V2.3. Chatsworth, California, USA: Tetracam, Inc.
    • (2011) ADC users guide V2.3
  • 52
    • 0018465733 scopus 로고
    • Red and photographic infrared linear combinations for monitoring vegetation
    • Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8, 127–150.
    • (1979) Remote Sensing of Environment , vol.8 , pp. 127-150
    • Tucker, C.J.1
  • 54
    • 84923067509 scopus 로고    scopus 로고
    • Multi-temporal imaging using an unmanned aerial vehicle for monitoring a sunflower crop
    • Vega, F. A., Ramírez, F. C., Saiz, M. P., & Rosúa, F. O. (2015). Multi-temporal imaging using an unmanned aerial vehicle for monitoring a sunflower crop. Biosystems Engineering, 132, 19–27.
    • (2015) Biosystems Engineering , vol.132 , pp. 19-27
    • Vega, F.A.1    Ramírez, F.C.2    Saiz, M.P.3    Rosúa, F.O.4
  • 55
    • 33845870913 scopus 로고    scopus 로고
    • Comparison of petiole nitrate concentrations, SPAD chlorophyll readings, and QuickBird satellite imagery in detecting nitrogen status of potato canopies
    • Wu, J., Wang, D., Rosen, C. J., & Bauer, M. E. (2007). Comparison of petiole nitrate concentrations, SPAD chlorophyll readings, and QuickBird satellite imagery in detecting nitrogen status of potato canopies. Field Crops Research, 101, 96–103.
    • (2007) Field Crops Research , vol.101 , pp. 96-103
    • Wu, J.1    Wang, D.2    Rosen, C.J.3    Bauer, M.E.4
  • 56
    • 34548265118 scopus 로고    scopus 로고
    • The usage of digital cameras as luminance meters. 65020U-1
    • Martin RA, DiCarlo JM, Sampat N, (eds), SPIE, International Society for Optics and Photonics, Bellingham, Washington, USA
    • Wüller, D., & Gabele, H. (2007). The usage of digital cameras as luminance meters. 65020U-1. In R. A. Martin, J. M. DiCarlo, & N. Sampat (Eds.), Digital photography III, proceedings of SPIE (Vol. 6502). Bellingham, Washington, USA: SPIE, International Society for Optics and Photonics.
    • (2007) Digital photography III, proceedings of SPIE , vol.6502
    • Wüller, D.1    Gabele, H.2
  • 57
    • 84876316434 scopus 로고    scopus 로고
    • The application of unmanned aerial vehicle remote sensing in quickly monitoring crop pests
    • Yue, J., Lei, T., Li, C., & Zhu, J. (2012). The application of unmanned aerial vehicle remote sensing in quickly monitoring crop pests. Intelligent Automation & Soft Computing, 18, 1043–1052.
    • (2012) Intelligent Automation & Soft Computing , vol.18 , pp. 1043-1052
    • Yue, J.1    Lei, T.2    Li, C.3    Zhu, J.4
  • 58
    • 84868629775 scopus 로고    scopus 로고
    • The application of small unmanned aerial systems for precision agriculture: a review
    • COI: 1:CAS:528:DC%2BC38XhtValsr%2FK
    • Zhang, C., & Kovacs, J. M. (2012). The application of small unmanned aerial systems for precision agriculture: a review. Precision Agriculture, 13, 693–712.
    • (2012) Precision Agriculture , vol.13 , pp. 693-712
    • Zhang, C.1    Kovacs, J.M.2


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