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Volumn 17, Issue 4, 2017, Pages

EasyPCC: Benchmark datasets and tools for high-throughput measurement of the plant canopy coverage ratio under field conditions

Author keywords

Digital images; Field image data; Phenotyping; Plant canopy coverage ratio

Indexed keywords

CROPS; DATA MINING; DECISION TREES; FORESTRY; MATLAB; THROUGHPUT; TREES (MATHEMATICS);

EID: 85017300398     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17040798     Document Type: Article
Times cited : (61)

References (20)
  • 1
    • 33645051449 scopus 로고    scopus 로고
    • PHENOPSIS, an automated platform for reproducible phenotyping of plant responses to soil water deficit in Arabidopsis thaliana permitted the identification of an accession with low sensitivity to soil water deficit
    • Granier, C., Aguirrezabal, L., Chenu, K., Cookson, S.J., Dauzat, M., Hamard, P., Thioux, J.-J., Rolland, G., Bouchier-Combaud, S., Lebaudy, A., et al. PHENOPSIS, an automated platform for reproducible phenotyping of plant responses to soil water deficit in Arabidopsis thaliana permitted the identification of an accession with low sensitivity to soil water deficit. New Phytol. 2006, 169, 623-635.
    • (2006) New Phytol , vol.169 , pp. 623-635
    • Granier, C.1    Aguirrezabal, L.2    Chenu, K.3    Cookson, S.J.4    Dauzat, M.5    Hamard, P.6    Thioux, J.-J.7    Rolland, G.8    Bouchier-Combaud, S.9    Lebaudy, A.10
  • 3
    • 79955830859 scopus 로고    scopus 로고
    • HTPheno: An image analysis pipeline for high-throughput plant phenotyping
    • Hartmann, A., Czauderna, T., Hoffmann, R., Stein, N., Schreiber, F. HTPheno: An image analysis pipeline for high-throughput plant phenotyping. BMC Bioinform. 2011, 12, 148.
    • (2011) BMC Bioinform , vol.12 , pp. 148
    • Hartmann, A.1    Czauderna, T.2    Hoffmann, R.3    Stein, N.4    Schreiber, F.5
  • 4
    • 78549246207 scopus 로고    scopus 로고
    • Phenomics: The next challenge. Nat
    • Houle, D., Govindaraju, D.R., Omholt, S. Phenomics: The next challenge. Nat. Rev. Genet. 2010, 11, 855-866.
    • (2010) Rev. Genet , vol.11 , pp. 855-866
    • Houle, D.1    Govindaraju, D.R.2    Omholt, S.3
  • 5
    • 83055180602 scopus 로고    scopus 로고
    • Phenomics—Technologies to relieve the phenotyping bottleneck
    • Furbank, R.T., Tester, M. Phenomics—Technologies to relieve the phenotyping bottleneck. Trends Plant Sci. 2011, 16, 635-644.
    • (2011) Trends Plant Sci , vol.16 , pp. 635-644
    • Furbank, R.T.1    Tester, M.2
  • 6
    • 84940758361 scopus 로고    scopus 로고
    • Plant phenomics and the need for physiological phenotyping across scales to narrow the genotype-to-phenotype knowledge gap
    • Großkinsky, D.K., Svensgaard, J., Christensen, S., Roitsch, T. Plant phenomics and the need for physiological phenotyping across scales to narrow the genotype-to-phenotype knowledge gap. J. Exp. Bot. 2015, 66, 5429-5440.
    • (2015) J. Exp. Bot , vol.66 , pp. 5429-5440
    • Großkinsky, D.K.1    Svensgaard, J.2    Christensen, S.3    Roitsch, T.4
  • 7
    • 85017313539 scopus 로고    scopus 로고
    • Study of the characteristic of the observation angle on the terrestrial image measurement of paddy vegetation cover
    • (In Japanese)
    • Takahashi, K., Rikimaru, A., Sakata, K., Endou, S. A Study of the characteristic of the observation angle on the terrestrial image measurement of paddy vegetation cover. Jpn. Soc. Photogramm. Remote Sens. 2012, 50, 367-371. (In Japanese)
    • (2012) Jpn. Soc. Photogramm. Remote Sens , vol.50 , pp. 367-371
    • Takahashi, K.1    Rikimaru, A.2    Sakata, K.3    Endou, S.A.4
  • 9
    • 52449086635 scopus 로고    scopus 로고
    • Using digital images to characterize canopy coverage and light interception in a processing tomato crop
    • Campillo, C., Prieto, M.H., Daza, C., Moñino, M.J., García, M.I. Using digital images to characterize canopy coverage and light interception in a processing tomato crop. Hortscience 2008, 43, 1780-1786.
    • (2008) Hortscience , vol.43 , pp. 1780-1786
    • Campillo, C.1    Prieto, M.H.2    Daza, C.3    Moñino, M.J.4    García, M.I.5
  • 10
    • 34247396521 scopus 로고    scopus 로고
    • Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water-limited environments
    • Casadesús, J., Kaya, Y., Bort, J., Nachit, M.M., Araus, J.L., Amor, S., Ferrazzano, G., Maalouf, F., Maccaferri, M., Martos, V., et al. Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water-limited environments. Ann. Appl. Biol. 2007, 150, 227-236.
    • (2007) Ann. Appl. Biol , vol.150 , pp. 227-236
    • Casadesús, J.1    Kaya, Y.2    Bort, J.3    Nachit, M.M.4    Araus, J.L.5    Amor, S.6    Ferrazzano, G.7    Maalouf, F.8    Maccaferri, M.9    Martos, V.10
  • 12
    • 84945370501 scopus 로고    scopus 로고
    • Canopeo: A powerful new tool for measuring fractional green canopy cover
    • Patrignani, A., Ochsner, T.E. Canopeo: A powerful new tool for measuring fractional green canopy cover. Agron. J. 2015, 107, 2312-2320.
    • (2015) Agron. J. , vol.107 , pp. 2312-2320
    • Patrignani, A.1    Ochsner, T.E.2
  • 13
    • 84923689465 scopus 로고    scopus 로고
    • Easy leaf area: Automated digital image analysis for rapid and accurate measurement of leaf area
    • Easlon, H.M., Bloom, A.J. Easy leaf area: Automated digital image analysis for rapid and accurate measurement of leaf area. Appl. Plant Sci. 2014, 2, 1400033.
    • (2014) Appl. Plant Sci , vol.2
    • Easlon, H.M.1    Bloom, A.J.2
  • 14
    • 84878353036 scopus 로고    scopus 로고
    • Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model
    • Guo, W., Rage, U.K., Ninomiya, S. Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model. Comput. Electron. Agric. 2013, 96, 58-66.
    • (2013) Comput. Electron. Agric , vol.96 , pp. 58-66
    • Guo, W.1    Rage, U.K.2    Ninomiya, S.3
  • 16
    • 85006277393 scopus 로고    scopus 로고
    • Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV. Funct
    • Duan, T., Zheng, B., Guo, W., Ninomiya, S., Guo, Y., Chapman, S. Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV. Funct. Plant Biol. 2017, 44, 169-183.
    • (2017) Plant Biol , vol.44 , pp. 169-183
    • Duan, T.1    Zheng, B.2    Guo, W.3    Ninomiya, S.4    Guo, Y.5    Chapman, S.6
  • 17
    • 84904179901 scopus 로고    scopus 로고
    • On plant detection of intact tomato fruits using image analysis and machine learning methods
    • Yamamoto, K., Guo, W., Yoshioka, Y., Ninomiya, S. On plant detection of intact tomato fruits using image analysis and machine learning methods. Sensors 2014, 14, 12191-12206.
    • (2014) Sensors , vol.14 , pp. 12191-12206
    • Yamamoto, K.1    Guo, W.2    Yoshioka, Y.3    Ninomiya, S.4
  • 18
    • 80755150059 scopus 로고    scopus 로고
    • Field monitoring support system for the occurrence of Leptocorisa chinensis Dallas (Hemiptera: Alydidae) using synthetic attractants, Field Servers, and image analysis
    • Fukatsu, T., Watanabe, T., Hu, H., Yoichi, H., Hirafuji, M. Field monitoring support system for the occurrence of Leptocorisa chinensis Dallas (Hemiptera: Alydidae) using synthetic attractants, Field Servers, and image analysis. Comput. Electron. Agric. 2012, 80, 8-16.
    • (2012) Comput. Electron. Agric , vol.80 , pp. 8-16
    • Fukatsu, T.1    Watanabe, T.2    Hu, H.3    Yoichi, H.4    Hirafuji, M.5
  • 19
    • 0034850577 scopus 로고    scopus 로고
    • A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics
    • Vancouver, BC, Canada, 7-14 July
    • Martin, D., Fowlkes, C., Tal, D., Malik, J. A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics. In Proceedings of the 8th International Conference Computer Vision, Vancouver, BC, Canada, 7-14 July 2001, Volume 2, pp. 416-423.
    • (2001) In Proceedings of the 8Th International Conference Computer Vision , vol.2 , pp. 416-423
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.