메뉴 건너뛰기




Volumn 44, Issue 1, 2017, Pages 143-153

Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring

Author keywords

computer vision; data processing; field scanalyzer; nitrogen; phenomics; scanalyzer

Indexed keywords

CHLOROPHYLL; COMPUTER VISION; CROP PERFORMANCE; DATA PROCESSING; EQUIPMENT; FIELD METHOD; FLUORESCENCE; NITROGEN; SCANNER; SPECTRAL RESOLUTION; THREE-DIMENSIONAL MODELING;

EID: 85006253072     PISSN: 14454408     EISSN: 14454416     Source Type: Journal    
DOI: 10.1071/FP16163     Document Type: Review
Times cited : (291)

References (41)
  • 1
    • 77955929919 scopus 로고    scopus 로고
    • Practical issues of hyperspectral imaging analysis of solid dosage forms
    • Amigo J (2010) Practical issues of hyperspectral imaging analysis of solid dosage forms. Analytical and Bioanalytical Chemistry 398, 93-109. doi:10.1007/s00216-010-3828-z
    • (2010) Analytical and Bioanalytical Chemistry , vol.398 , pp. 93-109
    • Amigo, J.1
  • 2
    • 84891372768 scopus 로고    scopus 로고
    • Field high-throughput phenotyping: The new crop breeding frontier
    • Araus JL, Cairns JE (2014) Field high-throughput phenotyping: the new crop breeding frontier. Trends in Plant Science 19, 52-61. doi:10.1016/ j.tplants.2013.09.008
    • (2014) Trends in Plant Science , vol.19 , pp. 52-61
    • Araus, J.L.1    Cairns, J.E.2
  • 3
    • 84925492062 scopus 로고    scopus 로고
    • Seasonal evolution of crop water stress index in grapevine varieties determined with high-resolution remote sensing thermal imagery
    • Bellvert J, Marsal J, Girona J, Zarco-Tejada PJ (2015) Seasonal evolution of crop water stress index in grapevine varieties determined with high-resolution remote sensing thermal imagery. Irrigation Science 33, 81-93. doi:10.1007/s00271-014-0456-y
    • (2015) Irrigation Science , vol.33 , pp. 81-93
    • Bellvert, J.1    Marsal, J.2    Girona, J.3    Zarco-Tejada, P.J.4
  • 4
    • 9344256654 scopus 로고    scopus 로고
    • Soil structure and management: A review
    • Bronick CJ, Lal R (2005) Soil structure and management: a review. Geoderma 124, 3-22. doi:10.1016/j.geoderma.2004.03.005
    • (2005) Geoderma , vol.124 , pp. 3-22
    • Bronick, C.J.1    Lal, R.2
  • 5
    • 84952837909 scopus 로고    scopus 로고
    • Estimating plant traits of grasslands from UAV-acquired hyperspectral images: A comparison of statistical approaches
    • Capolupo A, Kooistra L, Berendonk C, Boccia L, Suomalainen J (2015) Estimating plant traits of grasslands from UAV-acquired hyperspectral images: a comparison of statistical approaches. ISPRS International Journal of Geo-Information 4, 2792-2820. doi:10.3390/ijgi4042792
    • (2015) ISPRS International Journal of Geo-Information , vol.4 , pp. 2792-2820
    • Capolupo, A.1    Kooistra, L.2    Berendonk, C.3    Boccia, L.4    Suomalainen, J.5
  • 6
    • 84892475753 scopus 로고    scopus 로고
    • Conventional digital cameras as a tool for assessing leaf area index and biomass for cereal breeding
    • Casadesús J, Villegas D (2014) Conventional digital cameras as a tool for assessing leaf area index and biomass for cereal breeding. Journal of Integrative Plant Biology 56, 7-14. doi:10.1111/jipb.12117
    • (2014) Journal of Integrative Plant Biology , vol.56 , pp. 7-14
    • Casadesús, J.1    Villegas, D.2
  • 8
    • 84875426911 scopus 로고    scopus 로고
    • Nextgeneration phenotyping: Requirements and strategies for enhancing our understanding of genotype-phenotype relationships and its relevance to crop improvement
    • Cobb JN, DeClerck G, Greenberg A, Clark R, McCouch S (2013) Nextgeneration phenotyping: requirements and strategies for enhancing our understanding of genotype-phenotype relationships and its relevance to crop improvement. Theoretical and Applied Genetics 126, 867-887. doi:10.1007/s00122-013-2066-0
    • (2013) Theoretical and Applied Genetics , vol.126 , pp. 867-887
    • Cobb, J.N.1    DeClerck, G.2    Greenberg, A.3    Clark, R.4    McCouch, S.5
  • 9
    • 84868707545 scopus 로고    scopus 로고
    • A semi-automatic system for high throughput phenotyping wheat cultivars in-field conditions: Description and first results
    • Comar A, Burger P, de Solan B, Baret F, Daumard F, Hanocq J-F (2012) A semi-automatic system for high throughput phenotyping wheat cultivars in-field conditions: description and first results. Functional Plant Biology 39, 914-924. doi:10.1071/FP12065
    • (2012) Functional Plant Biology , vol.39 , pp. 914-924
    • Comar, A.1    Burger, P.2    De Solan, B.3    Baret, F.4    Daumard, F.5    Hanocq, J.-F.6
  • 10
    • 84908509157 scopus 로고    scopus 로고
    • Proximal remote sensing buggies and potential applications for field-based phenotyping
    • Deery D, Jimenez-Berni J, Jones H, Sirault X, Furbank R (2014) Proximal remote sensing buggies and potential applications for field-based phenotyping. Agronomy 4, 349-379. doi:10.3390/agronomy4030349
    • (2014) Agronomy , vol.4 , pp. 349-379
    • Deery, D.1    Jimenez-Berni, J.2    Jones, H.3    Sirault, X.4    Furbank, R.5
  • 12
    • 84945911113 scopus 로고    scopus 로고
    • Using high-resolution hyperspectral and thermal airborne imagery to assess physiological condition in the context of wheat phenotyping
    • Gonzalez-Dugo V, Hernandez P, Solis I, Zarco-Tejada P (2015) Using high-resolution hyperspectral and thermal airborne imagery to assess physiological condition in the context of wheat phenotyping. Remote Sensing 7, 13586-13605. doi:10.3390/rs71013586
    • (2015) Remote Sensing , vol.7 , pp. 13586-13605
    • Gonzalez-Dugo, V.1    Hernandez, P.2    Solis, I.3    Zarco-Tejada, P.4
  • 13
    • 84878353036 scopus 로고    scopus 로고
    • Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model
    • Guo W, Rage UK, Ninomiya S (2013) Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model. Computers and Electronics in Agriculture 96, 58-66. doi:10.1016/ j.compag.2013.04.010
    • (2013) Computers and Electronics in Agriculture , vol.96 , pp. 58-66
    • Guo, W.1    Rage, U.K.2    Ninomiya, S.3
  • 14
    • 84868562119 scopus 로고    scopus 로고
    • A comparison of plant temperatures as measured by thermal imaging and infrared thermometry
    • Hackl H, Baresel JP, Mistele B, Hu Y, Schmidhalter U (2012) A comparison of plant temperatures as measured by thermal imaging and infrared thermometry. Journal Agronomy &Crop Science 198, 415-429. doi:10.1111/j.1439-037X.2012.00512.x
    • (2012) Journal Agronomy &Crop Science , vol.198 , pp. 415-429
    • Hackl, H.1    Baresel, J.P.2    Mistele, B.3    Hu, Y.4    Schmidhalter, U.5
  • 18
    • 85006244321 scopus 로고    scopus 로고
    • LED induced chlorophyll fluorescence transient imager for measurements of health and stress status of whole plants
    • Quebec, Canada, 14-19 June, 2009'[Verified 10 September 2016]
    • Jalink H, van der Schoor R (2011) LED induced chlorophyll fluorescence transient imager for measurements of health and stress status of whole plants. In 'Proceedings of the International Symposium on High Technology for Greenhouse Systems: GreenSys2009, Quebec, Canada, 14-19 June, 2009'. Available at http://edepot.wur.nl/169025 [Verified 10 September 2016]
    • (2011) Proceedings of the International Symposium on High Technology for Greenhouse Systems: GreenSys2009
    • Jalink, H.1    Vander Schoor, R.2
  • 19
    • 84939239197 scopus 로고    scopus 로고
    • High resolution imaging of maize (Zea mays) leaf temperature in the field: The key role of the regions of interest
    • Jerbi T, Wuyts N, Cane MA, Faux PF, Draye X (2015) High resolution imaging of maize (Zea mays) leaf temperature in the field: the key role of the regions of interest. Functional Plant Biology 42, 858-864. doi:10.1071/FP15024
    • (2015) Functional Plant Biology , vol.42 , pp. 858-864
    • Jerbi, T.1    Wuyts, N.2    Cane, M.A.3    Faux, P.F.4    Draye, X.5
  • 20
    • 84922965447 scopus 로고    scopus 로고
    • Scaling of thermal images at different spatial resolution: The mixed pixel problem
    • Jones H, Sirault X (2014) Scaling of thermal images at different spatial resolution: the mixed pixel problem. Agronomy 4, 380. doi:10.3390/ agronomy4030380
    • (2014) Agronomy , vol.4 , pp. 380
    • Jones, H.1    Sirault, X.2
  • 21
    • 70449678710 scopus 로고    scopus 로고
    • Thermal infrared imaging of crop canopies for the remote diagnosis and quantification of plant responses to water stress in the field
    • Jones HG, Serraj R, Loveys BR, Xiong LZ, Wheaton A, Price AH (2009) Thermal infrared imaging of crop canopies for the remote diagnosis and quantification of plant responses to water stress in the field. Functional Plant Biology 36, 978-989. doi:10.1071/FP09123
    • (2009) Functional Plant Biology , vol.36 , pp. 978-989
    • Jones, H.G.1    Serraj, R.2    Loveys, B.R.3    Xiong, L.Z.4    Wheaton, A.5    Price, A.H.6
  • 22
    • 84893928511 scopus 로고    scopus 로고
    • Identification of stay-green and early senescence phenotypes in high-yielding winter wheat, and their relationship to grain yield and grain protein concentration using highthroughput phenotyping techniques
    • Kipp S, Mistele B, Schmidhalter U (2014) Identification of stay-green and early senescence phenotypes in high-yielding winter wheat, and their relationship to grain yield and grain protein concentration using highthroughput phenotyping techniques. Functional Plant Biology 41, 227-235. doi:10.1071/FP13221
    • (2014) Functional Plant Biology , vol.41 , pp. 227-235
    • Kipp, S.1    Mistele, B.2    Schmidhalter, U.3
  • 23
    • 84940028252 scopus 로고    scopus 로고
    • Simultaneous identification of spring wheat nitrogen and water status using visible and near infrared spectra and powered partial least squares regression
    • Kusnierek K, Korsaeth A (2015) Simultaneous identification of spring wheat nitrogen and water status using visible and near infrared spectra and powered partial least squares regression. Computers and Electronics in Agriculture 117, 200-213. doi:10.1016/j.compag.2015.08.001
    • (2015) Computers and Electronics in Agriculture , vol.117 , pp. 200-213
    • Kusnierek, K.1    Korsaeth, A.2
  • 24
    • 84908530182 scopus 로고    scopus 로고
    • A review of imaging techniques for plant phenotyping
    • Li L, Zhang Q, Huang D (2014) A review of imaging techniques for plant phenotyping. Sensors 14, 20078. doi:10.3390/s141120078
    • (2014) Sensors , vol.14 , pp. 20078
    • Li, L.1    Zhang, Q.2    Huang, D.3
  • 26
    • 84865512268 scopus 로고    scopus 로고
    • Estimating evapotranspiration and drought stress with ground-based thermal remote sensing in agriculture: A review
    • Maes WH, Steppe K (2012) Estimating evapotranspiration and drought stress with ground-based thermal remote sensing in agriculture: a review. Journal of Experimental Botany 63, 4671-4712. doi:10.1093/ jxb/ers165
    • (2012) Journal of Experimental Botany , vol.63 , pp. 4671-4712
    • Maes, W.H.1    Steppe, K.2
  • 27
    • 84886939896 scopus 로고    scopus 로고
    • Chlorophyll fluorescence analysis: A guide to good practice and understanding some new applications
    • Murchie EH, Lawson T (2013) Chlorophyll fluorescence analysis: a guide to good practice and understanding some new applications. Journal of Experimental Botany 64, 3983-3998. doi:10.1093/jxb/ert208
    • (2013) Journal of Experimental Botany , vol.64 , pp. 3983-3998
    • Murchie, E.H.1    Lawson, T.2
  • 28
    • 84868681145 scopus 로고    scopus 로고
    • Phenotyping for drought tolerance in grain crops: When is it useful to breeders?
    • Passioura JB (2012) Phenotyping for drought tolerance in grain crops: when is it useful to breeders? Functional Plant Biology 39, 851-859. doi:10.1071/FP12079
    • (2012) Functional Plant Biology , vol.39 , pp. 851-859
    • Passioura, J.B.1
  • 29
    • 84879346043 scopus 로고    scopus 로고
    • Improving productivity of crops in waterlimited environments
    • (Ed. DL Sparks) . (Elsevier Academic Press Inc.: San Diego, CA, USA)
    • Passioura JB, Angus JF (2010) Improving productivity of crops in waterlimited environments. In 'Advances in agronomy. Vol. 106'. (Ed. DL Sparks) pp. 37-75. (Elsevier Academic Press Inc.: San Diego, CA, USA)
    • (2010) Advances in Agronomy , vol.106 , pp. 37-75
    • Passioura, J.B.1    Angus, J.F.2
  • 30
    • 84880913691 scopus 로고    scopus 로고
    • Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping
    • Paulus S, Dupuis J, Mahlein AK, Kuhlmann H (2013) Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping. BMC Bioinformatics 14, 238. doi:10.1186/1471-2105-14-238
    • (2013) BMC Bioinformatics , vol.14 , pp. 238
    • Paulus, S.1    Dupuis, J.2    Mahlein, A.K.3    Kuhlmann, H.4
  • 31
    • 4043181940 scopus 로고    scopus 로고
    • A mixed modelling approach for randomized experiments with repeated measures
    • Piepho HP, Büchse A, Richter C (2004) A mixed modelling approach for randomized experiments with repeated measures. Journal Agronomy &Crop Science 190, 230-247. doi:10.1111/j.1439-037X.2004.00097.x
    • (2004) Journal Agronomy &Crop Science , vol.190 , pp. 230-247
    • Piepho, H.P.1    Büchse, A.2    Richter, C.3
  • 34
    • 80053994993 scopus 로고    scopus 로고
    • Robust fitting of fluorescence spectra for pre-symptomatic wheat leaf rust detection with support vector machines
    • Römer C, Bürling K, Hunsche M, Rumpf T, Noga G, Plümer L (2011) Robust fitting of fluorescence spectra for pre-symptomatic wheat leaf rust detection with support vector machines. Computers and Electronics in Agriculture 79, 180-188. doi:10.1016/j.compag.2011.09.011
    • (2011) Computers and Electronics in Agriculture , vol.79 , pp. 180-188
    • Römer, C.1    Bürling, K.2    Hunsche, M.3    Rumpf, T.4    Noga, G.5    Plümer, L.6
  • 36
    • 85009157940 scopus 로고    scopus 로고
    • Elements of an integrated phenotyping system for monitoring crop status at canopy level
    • Rundquist D, Gitelson A, Leavitt B, ZygielbaumA, Perk R, KeydanG(2014) Elements of an integrated phenotyping system for monitoring crop status at canopy level. Agronomy 4, 108. doi:10.3390/agronomy4010108
    • (2014) Agronomy , vol.4 , pp. 108
    • Rundquist, D.1    Gitelson, A.2    Leavitt, B.3    Zygielbaum, A.4    Perk, R.5    Keydan, G.6
  • 38
    • 76749109506 scopus 로고    scopus 로고
    • Breeding technologies to increase crop production in a changing world
    • Tester M, Langridge P (2010) Breeding technologies to increase crop production in a changing world. Science 327, 818-822. doi:10.1126/ science.1183700
    • (2010) Science , vol.327 , pp. 818-822
    • Tester, M.1    Langridge, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.