메뉴 건너뛰기




Volumn 147, Issue , 2016, Pages 139-150

Region-based colour modelling for joint crop and maize tassel segmentation

Author keywords

Colour modelling; Crop segmentation; Maize tassel; Neural networks; Region proposals

Indexed keywords

COLOR; COMPUTER VISION; CROPS; EXTRACTION; GRAPHIC METHODS; ITERATIVE METHODS; NEURAL NETWORKS;

EID: 84967113415     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2016.04.007     Document Type: Article
Times cited : (59)

References (28)
  • 2
    • 57449114907 scopus 로고    scopus 로고
    • An image-processing based algorithm to automatically identify plant disease visual symptoms
    • Camargo A., Smith J. An image-processing based algorithm to automatically identify plant disease visual symptoms. Biosystems Engineering 2009, 102:9-21. 10.1016/j.biosystemseng.2008.09.030.
    • (2009) Biosystems Engineering , vol.102 , pp. 9-21
    • Camargo, A.1    Smith, J.2
  • 5
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • Cybenko G. Approximation by superpositions of a sigmoidal function. Mathematics of Control, Signals and Systems 1989, 2:303-314. 10.1007/BF02551274.
    • (1989) Mathematics of Control, Signals and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 8
    • 0001817035 scopus 로고
    • Estimates of genetic-parameters for tassel characters in maize (zea-mays-l) and breeding perspectives
    • Geraldi I.O., Filho J., Vencovsky R. Estimates of genetic-parameters for tassel characters in maize (zea-mays-l) and breeding perspectives. Maydica 1985, 30:1-14.
    • (1985) Maydica , vol.30 , pp. 1-14
    • Geraldi, I.O.1    Filho, J.2    Vencovsky, R.3
  • 9
    • 84958534104 scopus 로고    scopus 로고
    • A feature learning based approach for automated fruit yield estimation
    • Springer.
    • Hung C., Underwood J., Nieto J., Sukkarieh S. A feature learning based approach for automated fruit yield estimation. Field and service robotics 2015, 485-498. Springer. 10.1007/978-3-319-07488-7_33.
    • (2015) Field and service robotics , pp. 485-498
    • Hung, C.1    Underwood, J.2    Nieto, J.3    Sukkarieh, S.4
  • 10
    • 84912057005 scopus 로고    scopus 로고
    • Monitoring of crop biomass using true colour aerial photographs taken from a remote controlled hexacopter
    • Jannoura R., Brinkmann K., Uteau D., Bruns C., Joergensen R.G. Monitoring of crop biomass using true colour aerial photographs taken from a remote controlled hexacopter. Biosystems Engineering 2015, 129:341-351. 10.1016/j.biosystemseng.2014.11.007.
    • (2015) Biosystems Engineering , vol.129 , pp. 341-351
    • Jannoura, R.1    Brinkmann, K.2    Uteau, D.3    Bruns, C.4    Joergensen, R.G.5
  • 12
    • 84904191292 scopus 로고    scopus 로고
    • Detecting corn tassels using computer vision and support vector machines
    • Kurtulmuş F., Kavdir I. Detecting corn tassels using computer vision and support vector machines. Expert Systems with Applications 2014, 41:7390-7397. 10.1016/j.eswa.2014.06.013.
    • (2014) Expert Systems with Applications , vol.41 , pp. 7390-7397
    • Kurtulmuş, F.1    Kavdir, I.2
  • 13
    • 0011257663 scopus 로고
    • Leaf angle, tassel morphology, and the performance of maize hybrids
    • Lambert R.J., Johnson R.R. Leaf angle, tassel morphology, and the performance of maize hybrids. Crop Science 1978, 18:499-502. 10.2135/cropsci1978.0011183X001800030037x.
    • (1978) Crop Science , vol.18 , pp. 499-502
    • Lambert, R.J.1    Johnson, R.R.2
  • 14
    • 84941622266 scopus 로고    scopus 로고
    • Fine-grained maize tassel trait characterization with multi-view representations
    • Lu H., Cao Z., Xiao Y., Fang Z., Zhu Y., Xian K. Fine-grained maize tassel trait characterization with multi-view representations. Computers and Electronics in Agriculture 2015, 118:143-158. 10.1016/j.compag.2015.08.027.
    • (2015) Computers and Electronics in Agriculture , vol.118 , pp. 143-158
    • Lu, H.1    Cao, Z.2    Xiao, Y.3    Fang, Z.4    Zhu, Y.5    Xian, K.6
  • 18
    • 84877725219 scopus 로고    scopus 로고
    • A stochastic gradient method with an exponential convergence rate for finite training sets
    • Curran Associates, Inc, F. Pereira, C. Burges, L. Bottou, K. Weinberger (Eds.)
    • Roux N.L., Schmidt M., Bach F.R. A stochastic gradient method with an exponential convergence rate for finite training sets. Proc. Advances in neural information processing systems (NIPS) 2012, 2663-2671. Curran Associates, Inc. F. Pereira, C. Burges, L. Bottou, K. Weinberger (Eds.).
    • (2012) Proc. Advances in neural information processing systems (NIPS) , pp. 2663-2671
    • Roux, N.L.1    Schmidt, M.2    Bach, F.R.3
  • 19
    • 0033232561 scopus 로고    scopus 로고
    • Machine-vision weed density estimation for real-time, outdoor lighting conditions
    • Steward B.L., Tian L.F. Machine-vision weed density estimation for real-time, outdoor lighting conditions. Transactions on American Society of Agricultural Engineers 1999, 42:1897-1910. 10.13031/2013.13355.
    • (1999) Transactions on American Society of Agricultural Engineers , vol.42 , pp. 1897-1910
    • Steward, B.L.1    Tian, L.F.2
  • 21
    • 84863222915 scopus 로고    scopus 로고
    • Definition of linear color models in the RGB vector color space to detect red peaches in orchard images taken under natural illumination
    • Teixidó M., Font D., Palleja T., Tresanchez M., Nogués M., Palacín J. Definition of linear color models in the RGB vector color space to detect red peaches in orchard images taken under natural illumination. Sensors 2012, 12:7701-7718. 10.3390/s120607701.
    • (2012) Sensors , vol.12 , pp. 7701-7718
    • Teixidó, M.1    Font, D.2    Palleja, T.3    Tresanchez, M.4    Nogués, M.5    Palacín, J.6
  • 22
    • 0032465299 scopus 로고    scopus 로고
    • Environmentally adaptive segmentation algorithm for outdoor image segmentation
    • Tian L.F., Slaughter D.C. Environmentally adaptive segmentation algorithm for outdoor image segmentation. Computers and Electronics in Agriculture 1998, 21:153-168. 10.1016/S0168-1699(98)00037-4.
    • (1998) Computers and Electronics in Agriculture , vol.21 , pp. 153-168
    • Tian, L.F.1    Slaughter, D.C.2
  • 24
    • 79957609811 scopus 로고    scopus 로고
    • Type-2 fuzzy thresholding using GLSC histogram of human visual nonlinearity characteristics
    • Xiao Y., Cao Z., Zhuo W. Type-2 fuzzy thresholding using GLSC histogram of human visual nonlinearity characteristics. Optic Express 2011, 19:10656-10672. 10.1364/OE.19.010656.
    • (2011) Optic Express , vol.19 , pp. 10656-10672
    • Xiao, Y.1    Cao, Z.2    Zhuo, W.3
  • 25
    • 84922203325 scopus 로고    scopus 로고
    • Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice
    • Yang W., Guo Z., Huang C., Duan L., Chen G., Jiang N., et al. Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice. Nature Communications 2014, 5. 10.1038/ncomms6087.
    • (2014) Nature Communications , vol.5
    • Yang, W.1    Guo, Z.2    Huang, C.3    Duan, L.4    Chen, G.5    Jiang, N.6
  • 26
    • 84890371882 scopus 로고    scopus 로고
    • An image-based approach for automatic detecting tasseling stage of maize using spatio-temporal saliency
    • International Society for Optics and Photonics.
    • Ye M., Cao Z., Yu Z. An image-based approach for automatic detecting tasseling stage of maize using spatio-temporal saliency. Proc. Eighth International Symposium on multispectral image processing and pattern recognition 2013, International Society for Optics and Photonics, pp. 89210Z-89210Z. 10.1117/12.2031024.
    • (2013) Proc. Eighth International Symposium on multispectral image processing and pattern recognition , pp. 89210Z
    • Ye, M.1    Cao, Z.2    Yu, Z.3
  • 27
    • 84876316584 scopus 로고    scopus 로고
    • Automatic image-based detection technology for two critical growth stages of maize: emergence and three-leaf stage
    • Yu Z., Cao Z., Wu X., Bai X., Qin Y., Zhuo W., et al. Automatic image-based detection technology for two critical growth stages of maize: emergence and three-leaf stage. Agricultural and Forest Meteorology 2013, 174-175:65-84. 10.1016/j.agrformet.2013.02.011.
    • (2013) Agricultural and Forest Meteorology , pp. 65-84
    • Yu, Z.1    Cao, Z.2    Wu, X.3    Bai, X.4    Qin, Y.5    Zhuo, W.6
  • 28
    • 57349118530 scopus 로고    scopus 로고
    • Mean-shift-based color segmentation of images containing green vegetation
    • Zheng L., Zhang J., Wang Q. Mean-shift-based color segmentation of images containing green vegetation. Computers and Electronics in Agriculture 2009, 65:93-98. 10.1016/j.compag.2008.08.002.
    • (2009) Computers and Electronics in Agriculture , vol.65 , pp. 93-98
    • Zheng, L.1    Zhang, J.2    Wang, Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.