메뉴 건너뛰기




Volumn , Issue , 2014, Pages

Automatic recognition of rape seeding emergence stage based on computer vision technology

Author keywords

automatic detection technology; HI; precision agriculture; Rape; seeding emergence stage

Indexed keywords

AGRICULTURAL ROBOTS; COMPUTER VISION; CROPS; PRECISION AGRICULTURE;

EID: 84910020380     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/Agro-Geoinformatics.2014.6910634     Document Type: Conference Paper
Times cited : (2)

References (21)
  • 1
    • 77954540312 scopus 로고    scopus 로고
    • Root growth, available soil water, and water-use efficiency of winter wheat under different irrigation regimes applied at different growth stages in North China
    • October
    • Q. Li, B. Dong, Y. Qiao, M. Liu. J. Zhang, "Root growth, available soil water, and water-use efficiency of winter wheat under different irrigation regimes applied at different growth stages in North China," Agricultural Water Management, vol. 97, no. 10, pp. 1676-1682, October 2010.
    • (2010) Agricultural Water Management , vol.97 , Issue.10 , pp. 1676-1682
    • Li, Q.1    Dong, B.2    Qiao, Y.3    Liu. Zhang, J.M.4
  • 3
    • 79960900017 scopus 로고    scopus 로고
    • An automated stand-alone in-field remote sensing system (SIRSS) for in-season crop monitoring
    • August
    • H. Xiang, L. Tian, "An automated stand-alone in-field remote sensing system (SIRSS) for in-season crop monitoring," Computers and Electronics in Agriculture, vol. 78. no. 1, pp. 1-8, August 2011.
    • (2011) Computers and Electronics in Agriculture , vol.78 , Issue.1 , pp. 1-8
    • Xiang, H.1    Tian, L.2
  • 4
    • 67651213614 scopus 로고    scopus 로고
    • Daytime and nighttime field spectral imagery of ripening paddy rice for determining leaf greenness and 1000-grain weight
    • M. Shibayama, T. Sakamoto, K. Homma, S. Okada, H. Yamamoto, "Daytime and nighttime field spectral imagery of ripening paddy rice for determining leaf greenness and 1000-grain weight," Plant production science, vol. 12(3), pp. 293-306, 2009.
    • (2009) Plant Production Science , vol.12 , Issue.3 , pp. 293-306
    • Shibayama, M.1    Sakamoto, T.2    Homma, K.3    Okada, S.4    Yamamoto, H.5
  • 5
    • 77951138969 scopus 로고    scopus 로고
    • Segmentation of green vegetation of crop canopy images based on mean shift and Fisher linear discriminant
    • July
    • L. Zheng, D. Shi, J. Zhang, "Segmentation of green vegetation of crop canopy images based on mean shift and Fisher linear discriminant," Pattern Recognition Letters, vol. 31, no. 9, pp. 920-925, July 2010.
    • (2010) Pattern Recognition Letters , vol.31 , Issue.9 , pp. 920-925
    • Zheng, L.1    Shi, D.2    Zhang, J.3
  • 6
    • 47149115270 scopus 로고    scopus 로고
    • Classification of crops and weeds extracted by active shape models
    • August
    • M. Persson, B. Astrand, "Classification of crops and weeds extracted by active shape models," Biosystems Engineering, vol. 100, no. 4, pp. 484-497, August 2008.
    • (2008) Biosystems Engineering , vol.100 , Issue.4 , pp. 484-497
    • Persson, M.1    Astrand, B.2
  • 7
    • 79954419387 scopus 로고    scopus 로고
    • Potential of field hyperspectral imaging as a non-destructive method to assess leaf nitrogen content in wheat
    • April
    • N. Vigneau, M. Ecarnot, G. Rabatel, P. Roumet, "Potential of field hyperspectral imaging as a non-destructive method to assess leaf nitrogen content in wheat," Field Crops Research, vol. 122, no. 1, pp. 25-31, April 2011.
    • (2011) Field Crops Research , vol.122 , Issue.1 , pp. 25-31
    • Vigneau, N.1    Ecarnot, M.2    Rabatel, G.3    Roumet, P.4
  • 8
    • 83455229423 scopus 로고    scopus 로고
    • Determination of the number of green apples in RGB images recorded in orchards
    • February
    • R. Linker, O. Cohen, A. Naor, "Determination of the number of green apples in RGB images recorded in orchards," Computers and Electronics in Agriculture, vol. 81, pp. 45-57, February 2012.
    • (2012) Computers and Electronics in Agriculture , vol.81 , pp. 45-57
    • Linker, R.1    Cohen, O.2    Naor, A.3
  • 9
    • 79959291019 scopus 로고    scopus 로고
    • Color image segmentation approach to monitor flowering in lesquerella
    • July
    • K.R. Thorp, D.A. Dierig, "Color image segmentation approach to monitor flowering in lesquerella," Industrial Crops and Products, vol. 34(1), pp. 1150-1159, July 2011.
    • (2011) Industrial Crops and Products , vol.34 , Issue.1 , pp. 1150-1159
    • Thorp, K.R.1    Dierig, D.A.2
  • 10
    • 84876316584 scopus 로고    scopus 로고
    • Automatic image-based detection technology for two critical growth stages of maize: Emergence and three-leaf stage
    • June
    • Z. Yu, et al. "Automatic image-based detection technology for two critical growth stages of maize: Emergence and three-leaf stage," Agricultural and Forest Meteorology, vol. 174-175, pp. 65-84, June 2013.
    • (2013) Agricultural and Forest Meteorology , vol.174-175 , pp. 65-84
    • Yu, Z.1
  • 12
    • 77951133945 scopus 로고    scopus 로고
    • Machine vision detection parameters for plant species identification
    • G.E. Meyer, T.W. Hindman, K. Laksmi, "Machine Vision Detection Parameters for Plant Species Identification," SPIE, 1998.
    • (1998) SPIE
    • Meyer, G.E.1    Hindman, T.W.2    Laksmi, K.3
  • 15
    • 33644854567 scopus 로고    scopus 로고
    • Automated crop and weed monitoring in widely spaced cereals
    • T. Hague, N. Tillet, H. Wheeler, "Automated crop and weed monitoring in widely spaced cereals," Precision Agriculture, vol. 7, issue. 1, pp. 95-113, 2006.
    • (2006) Precision Agriculture , vol.7 , Issue.1 , pp. 95-113
    • Hague, T.1    Tillet, N.2    Wheeler, H.3
  • 16
    • 70350025069 scopus 로고    scopus 로고
    • Estimation of leaf area index in ceral crops using red-green images
    • K. Kirk, H.J. Andersen, A.G. Thomsen, J.R. Jørgensen, "Estimation of leaf area index in ceral crops using red-green images", Biosystems Engineering, vol. 104, no. 3, pp. 308-317, 2009.
    • (2009) Biosystems Engineering , vol.104 , Issue.3 , pp. 308-317
    • Kirk, K.1    Andersen, H.J.2    Thomsen, A.G.3    Jørgensen, J.R.4
  • 17
    • 47049087271 scopus 로고    scopus 로고
    • Verification of color vegetation indices for auto-mated crop imaging applications
    • G.E. Meyer, J. Camargo-Neto, "Verification of color vegetation indices for auto-mated crop imaging applications," Computers and Electronics in Agriculture, vol. 63, pp. 282-293, 2008.
    • (2008) Computers and Electronics in Agriculture , vol.63 , pp. 282-293
    • Meyer, G.E.1    Camargo-Neto, J.2
  • 18
    • 0032465299 scopus 로고
    • Environmentally adaptive segmentation algorithm for outdoor image segmentation
    • L.F. Tian, D.C. Slaughter, "Environmentally adaptive segmentation algorithm for outdoor image segmentation," Computers and Electronics in Agriculture, vol. 21, pp. 153-168, 1988.
    • (1988) Computers and Electronics in Agriculture , vol.21 , pp. 153-168
    • Tian, L.F.1    Slaughter, D.C.2
  • 19
    • 67649090191 scopus 로고    scopus 로고
    • Testing different color spaces based on hue for the environmentally adaptive segmentation algorithm(EASA)
    • G. Ruiz-Ruiz, J. Gómez-Gil, L.M. Navas-Gracia, "Testing different color spaces based on hue for the environmentally adaptive segmentation algorithm(EASA)," Computers and Electronics in Agriculture, vol 68, pp. 88-96, 2009.
    • (2009) Computers and Electronics in Agriculture , vol.68 , pp. 88-96
    • Ruiz-Ruiz, G.1    Gómez-Gil, J.2    Navas-Gracia, L.M.3
  • 20
    • 57349118530 scopus 로고    scopus 로고
    • Mean-shift-based color segmentation of images containing green vegetation
    • January
    • L. Zheng, J. Zhang, Q. Wang, "Mean-shift-based color segmentation of images containing green vegetation," Computers and Electronics in Agriculture, vol. 65, no. 1, pp. 93-98, January 2009.
    • (2009) Computers and Electronics in Agriculture , vol.65 , Issue.1 , pp. 93-98
    • Zheng, L.1    Zhang, J.2    Wang, Q.3
  • 21
    • 34548030243 scopus 로고    scopus 로고
    • Color segmentation robust to brightness variations by using B-spline curve modeling
    • January
    • C. Kim, B.-J. You, M.-H. Jeong, H. Kim, "Color segmentation robust to brightness variations by using B-spline curve modeling," Pattern Recognition, vol. 41, no. 1 pp. 22-37, January 2008.
    • (2008) Pattern Recognition , vol.41 , Issue.1 , pp. 22-37
    • Kim, C.1    You, B.-J.2    Jeong, M.-H.3    Kim, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.