메뉴 건너뛰기




Volumn , Issue , 2014, Pages 71-95

The biological engineer: Sensing the difference between crops and weeds

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL MACHINERY; CULTIVATION; ENGINEERING EDUCATION; WEED CONTROL;

EID: 84956841532     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-94-007-7512-1_5     Document Type: Chapter
Times cited : (16)

References (79)
  • 1
    • 54049151530 scopus 로고
    • Weed detection in lawn field using machine vision
    • Ahmad U, Kondo N, Arima S, Monta M, Mohri K (1991) Weed detection in lawn field using machine vision. J JSAM 61(2):61-69
    • (1991) J JSAM , vol.61 , Issue.2 , pp. 61-69
    • Ahmad, U.1    Kondo, N.2    Arima, S.3    Monta, M.4    Mohri, K.5
  • 3
    • 84956775959 scopus 로고    scopus 로고
    • Plant recognition and localization using context information and individual plant features
    • Paper IV, Astrand, B. PhD thesis. Chalmers University of Technology. Goteborg, Sweden, Last accessed 24 Sept 2012
    • Astrand B, Baerveldt A-J (2005) Plant recognition and localization using context information and individual plant features. Paper IV In: Vision based perception for mechatronic weed control. Astrand, B. PhD thesis. Chalmers University of Technology. Goteborg, Sweden. fou.sjv.se/fou/download.lasso?id=Fil-000788. Last accessed 24 Sept 2012
    • (2005) Vision Based Perception for Mechatronic Weed Control
    • Astrand, B.1    Baerveldt, A.-J.2
  • 4
    • 43449116915 scopus 로고    scopus 로고
    • Image-based monitoring to measure ecological change
    • Booth DT, Cox SE (2008) Image-based monitoring to measure ecological change. Front Ecol Environ 6:185-190
    • (2008) Front Ecol Environ , vol.6 , pp. 185-190
    • Booth, D.T.1    Cox, S.E.2
  • 6
    • 28744454290 scopus 로고    scopus 로고
    • Site-specific weed management: Sensing requirements ’ what do we need to see
    • Brown RB, Noble SD (2005) Site-specific weed management: sensing requirements ’ what do we need to see? Weed Sci 53:252-258
    • (2005) Weed Sci , vol.53 , pp. 252-258
    • Brown, R.B.1    Noble, S.D.2
  • 8
    • 23744478023 scopus 로고    scopus 로고
    • Influence of weed maturity levels on species classification using machine vision
    • Burks TF, Shearer SA, Green JD, Heath JR (2002) Influence of weed maturity levels on species classification using machine vision. Weed Sci 50(6):802-811
    • (2002) Weed Sci , vol.50 , Issue.6 , pp. 802-811
    • Burks, T.F.1    Shearer, S.A.2    Green, J.D.3    Heath, J.R.4
  • 9
    • 0041767530 scopus 로고    scopus 로고
    • Leaf shape modeling and analysis using geometric descriptors derived from Bezier curves
    • Chi YT, Chien CF, Lin TT (2002) Leaf shape modeling and analysis using geometric descriptors derived from Bezier curves. Trans Am Soc Agric Eng 46(1):175-185
    • (2002) Trans am Soc Agric Eng , vol.46 , Issue.1 , pp. 175-185
    • Chi, Y.T.1    Chien, C.F.2    Lin, T.T.3
  • 12
    • 38949116176 scopus 로고
    • Electro-chemical thinning of sugar beet
    • Cox SWR, McLean KA (1969) Electro-chemical thinning of sugar beet. J Agric Eng Res 14(4):332-343
    • (1969) J Agric Eng Res , vol.14 , Issue.4 , pp. 332-343
    • Cox, S.1    Mc Lean, K.A.2
  • 14
    • 0343899734 scopus 로고
    • Electrical methods of killing plants
    • Diprose MF, Benson FA (1984) Electrical methods of killing plants. J Agric Eng Res 30:197-209
    • (1984) J Agric Eng Res , vol.30 , pp. 197-209
    • Diprose, M.F.1    Benson, F.A.2
  • 15
    • 33847257288 scopus 로고    scopus 로고
    • Leaf shape based plant species recognition
    • Du JX, Wang XF, Zhang GJ (2007) Leaf shape based plant species recognition. Appl Math Comput 185:883-893
    • (2007) Appl Math Comput , vol.185 , pp. 883-893
    • Du, J.X.1    Wang, X.F.2    Zhang, G.J.3
  • 16
    • 84863738116 scopus 로고    scopus 로고
    • Rangeland and pasture monitoring: An approach to interpretation of high-resolution imagery focused on observer calibration for repeatability
    • Duniway MC, Karl JW, Schrader S, Baquera N, Herrick JE (2012) Rangeland and pasture monitoring: an approach to interpretation of high-resolution imagery focused on observer calibration for repeatability. Environ Monit Assess 184:3789-3804
    • (2012) Environ Monit Assess , vol.184 , pp. 3789-3804
    • Duniway, M.C.1    Karl, J.W.2    Schrader, S.3    Baquera, N.4    Herrick, J.E.5
  • 18
    • 0035338110 scopus 로고    scopus 로고
    • Multi-spectral vision system for weed detection
    • Feyaerts F, van Gool L (2001) Multi-spectral vision system for weed detection. Pattern Recognit Lett 22:667-674
    • (2001) Pattern Recognit Lett , vol.22 , pp. 667-674
    • Feyaerts, F.1    Van Gool, L.2
  • 19
    • 0026124532 scopus 로고
    • Shape description of completely visible and partially occluded leaves for identifying plants in digital images
    • Franz E, Gebhardt MR, Unklesbay KB (1991) Shape description of completely visible and partially occluded leaves for identifying plants in digital images. Trans Am Soc Agric Eng 34(2):673-681
    • (1991) Trans am Soc Agric Eng , vol.34 , Issue.2 , pp. 673-681
    • Franz, E.1    Gebhardt, M.R.2    Unklesbay, K.B.3
  • 20
    • 12944276914 scopus 로고    scopus 로고
    • Discrimination of sugarcane varieties in Southeastern Brazil with EO-1 Hyperion data
    • Galvao LS, Formaggio AR, Tisot DA (2005) Discrimination of sugarcane varieties in Southeastern Brazil with EO-1 Hyperion data. Remote Sens Environ 94:523-534
    • (2005) Remote Sens Environ , vol.94 , pp. 523-534
    • Galvao, L.S.1    Formaggio, A.R.2    Tisot, D.A.3
  • 21
    • 38949165901 scopus 로고
    • Development of a synchronous thinner
    • Garrett RE (1966) Development of a synchronous thinner. J Am Soc Sugar Beet Technol 14(3):206-213
    • (1966) J am Soc Sugar Beet Technol , vol.14 , Issue.3 , pp. 206-213
    • Garrett, R.E.1
  • 22
    • 33947533630 scopus 로고    scopus 로고
    • A new algorithm for automatic Rumex obtusifolius detection in digital images using colour and texture features and the influence of image resolution
    • Gebhardt S, Kuhbauch W (2007) A new algorithm for automatic Rumex obtusifolius detection in digital images using colour and texture features and the influence of image resolution. Precis Agric 8:1-13
    • (2007) Precis Agric , vol.8 , pp. 1-13
    • Gebhardt, S.1    Kuhbauch, W.2
  • 23
    • 33748999764 scopus 로고    scopus 로고
    • Identification of broad-leaved dock (Rumex obtusifolius L.) on grassland by means of digital image processing
    • Gebhardt S, Schellberg J, Lock R, Kuhbauch W (2006) Identification of broad-leaved dock (Rumex obtusifolius L.) on grassland by means of digital image processing. Precis Agric 7:165-178
    • (2006) Precis Agric , vol.7 , pp. 165-178
    • Gebhardt, S.1    Schellberg, J.2    Lock, R.3    Kuhbauch, W.4
  • 24
    • 0025623673 scopus 로고
    • Optical properties of vegetation canopies
    • Steven MD, Clark JA (eds),. Butterworths, London
    • Guyot G (1990) Optical properties of vegetation canopies. In: Steven MD, Clark JA (eds) Applications of remote sensing in agriculture. Butterworths, London, pp 19-44
    • (1990) Applications of Remote Sensing in Agriculture , pp. 19-44
    • Guyot, G.1
  • 25
    • 80053963355 scopus 로고    scopus 로고
    • X-ray based stem detection in an automatic tomato weeding system
    • Haff RP, Slaughter DC, Jackson ES (2011) X-ray based stem detection in an automatic tomato weeding system. Appl Eng Agric 27(5):803-810
    • (2011) Appl Eng Agric , vol.27 , Issue.5 , pp. 803-810
    • Haff, R.P.1    Slaughter, D.C.2    Jackson, E.S.3
  • 26
    • 84956825628 scopus 로고    scopus 로고
    • Last accessed 24 Sept 2012
    • Tillett and Hague Technology Ltd. (2005) Autonomous crop treatment vehicle. http://www.thtech-nology.co.uk/Past%20Projects.html. Last accessed 24 Sept 2012
    • (2005) Autonomous crop treatment vehicle
  • 28
    • 70349664452 scopus 로고    scopus 로고
    • Shape analysis for the automated identification of plants from images of leaves
    • Hearn DJ (2009) Shape analysis for the automated identification of plants from images of leaves. Taxon 58:934-954
    • (2009) Taxon , vol.58 , pp. 934-954
    • Hearn, D.J.1
  • 29
    • 28744443408 scopus 로고    scopus 로고
    • Spectral reflectance curves to distinguish soybean from common cocklebur (Xanthium strumarium) and sicklepod (Cassia obtusifolia) grown with varying soil moisture
    • Henry WB, Shaw DR, Reddy KR, Bruce LM, Tamhankar HD (2004) Spectral reflectance curves to distinguish soybean from common cocklebur (Xanthium strumarium) and sicklepod (Cassia obtusifolia) grown with varying soil moisture. Weed Sci 52(5):788-796
    • (2004) Weed Sci , vol.52 , Issue.5 , pp. 788-796
    • Henry, W.B.1    Shaw, D.R.2    Reddy, K.R.3    Bruce, L.M.4    Tamhankar, H.D.5
  • 30
    • 61349112689 scopus 로고    scopus 로고
    • Weed image classification using Gabor wavelet and gradient field distribution
    • Ishak AJ, Hussain A, Mustafa MM (2009) Weed image classification using Gabor wavelet and gradient field distribution. Comput Electron Agric 66:53-61
    • (2009) Comput Electron Agric , vol.66 , pp. 53-61
    • Ishak, A.J.1    Hussain, A.2    Mustafa, M.M.3
  • 31
    • 84863455253 scopus 로고    scopus 로고
    • Validation of a high-resolution, remotely operated aerial remote-sensing system for the identification of herbaceous plant species
    • Ishihama F, Watabe Y, Oguma H (2012) Validation of a high-resolution, remotely operated aerial remote-sensing system for the identification of herbaceous plant species. Appl Veg Sci 15:383-389
    • (2012) Appl Veg Sci , vol.15 , pp. 383-389
    • Ishihama, F.1    Watabe, Y.2    Oguma, H.3
  • 33
    • 0013340647 scopus 로고    scopus 로고
    • Remote-sensing and mapping of weeds in crops
    • Lamb DW, Brown RB (2001) Remote-sensing and mapping of weeds in crops. J Agric Eng Res 78:117-125
    • (2001) J Agric Eng Res , vol.78 , pp. 117-125
    • Lamb, D.W.1    Brown, R.B.2
  • 34
    • 0033386630 scopus 로고    scopus 로고
    • Evaluating The Accuracy Of Mapping weeds in seedling crops using airborne digital Imaging
    • Lamb DW, Weedon MM, Rew LJ (1999) Evaluating the accuracy of mapping weeds in seedling crops using airborne digital imaging. Avena spp. in seedling triticale. Weed Res 39(6):481-492
    • (1999) Avena Spp. In Seedling Triticale Weed Res , vol.39 , Issue.6 , pp. 481-492
    • Lamb, D.W.1    Weedon, M.M.2    Rew, L.J.3
  • 38
    • 0035198207 scopus 로고    scopus 로고
    • Weed leaf image segmentation by deformable templates
    • Manh AG, Rabatel G, Assemat L, Aldon MJ (2001) Weed leaf image segmentation by deformable templates. J Agric Eng Res 80(2):139-146
    • (2001) J Agric Eng Res , vol.80 , Issue.2 , pp. 139-146
    • Manh, A.G.1    Rabatel, G.2    Assemat, L.3    Aldon, M.J.4
  • 39
    • 0032122198 scopus 로고    scopus 로고
    • Textural imaging and discriminant analysis for distinguishing weeds for spot spraying
    • Meyer GE, Mehta T, Kocher F, Mortensen DA, Samal A (1998) Textural imaging and discriminant analysis for distinguishing weeds for spot spraying. Trans Am Soc Agric Eng 41(4):1189-1197
    • (1998) Trans am Soc Agric Eng , vol.41 , Issue.4 , pp. 1189-1197
    • Meyer, G.E.1    Mehta, T.2    Kocher, F.3    Mortensen, D.A.4    Samal, A.5
  • 40
    • 84956824773 scopus 로고    scopus 로고
    • Last accessed 24 Sept 2012
    • M. Mikrokopter (2012) XL Hexakopter (MK Hexa XL). http://gaUery.mrkrokopter.de/main.php? g2_view=dynamicalbum.PopularAlbum&g2_itemId=63419&g2_imageViewsIndex=0. Last accessed 24 Sept 2012
    • (2012) XL Hexakopter (MK Hexa XL)
    • Mikrokopter, M.1
  • 41
    • 41949119182 scopus 로고    scopus 로고
    • A similarity-based leaf image retrieval scheme: Joining shape and venation features
    • Nam Y, Hwang E, Kim D (2008) A similarity-based leaf image retrieval scheme: joining shape and venation features. Comput Vis Image Underst 110:245-259
    • (2008) Comput Vis Image Underst , vol.110 , pp. 245-259
    • Nam, Y.1    Hwang, E.2    Kim, D.3
  • 42
    • 30344459978 scopus 로고    scopus 로고
    • Plant species identification using elliptic Fourier leaf shape analysis
    • Neto J, Meyer G, Jones D, Samal A (2006) Plant species identification using elliptic Fourier leaf shape analysis. Comput Electron Agric 50:121-134
    • (2006) Comput Electron Agric , vol.50 , pp. 121-134
    • Neto, J.1    Meyer, G.2    Jones, D.3    Samal, A.4
  • 43
    • 78649713777 scopus 로고
    • Effects of temperature on metabolism in tomato
    • Nightingale GT (1933) Effects of temperature on metabolism in tomato. Bot Gaz 95:35-58
    • (1933) Bot Gaz , vol.95 , pp. 35-58
    • Nightingale, G.T.1
  • 44
    • 84956762304 scopus 로고    scopus 로고
    • Last accessed 24 Sept 2012
    • N. Nikon (2012) Nikon D800 36.3MP FX-format CMOS sensor. http://www.nikonusa.com/en/Nikon-Products/Product/Digital-SLR-Cameras/25480/D800.html. Last accessed 24 Sept 2012
    • (2012) Nikon D800 36.3MP Fx-Format CMOS Sensor
    • Nikon, N.1
  • 46
  • 48
    • 33847141943 scopus 로고    scopus 로고
    • Plant classification for weed detection using hyperspectral imaging with wavelet analysis
    • Okamoto H, Murata T, Kataoka T, Hata SI (2007) Plant classification for weed detection using hyperspectral imaging with wavelet analysis. Weed Biol Manag 7:31-37
    • (2007) Weed Biol Manag , vol.7 , pp. 31-37
    • Okamoto, H.1    Murata, T.2    Kataoka, T.3    Hata, S.I.4
  • 49
    • 0042573734 scopus 로고    scopus 로고
    • Segmentation of row crop plants from weeds using colour and morphology
    • Onyango CM, Marchant JA (2003) Segmentation of row crop plants from weeds using colour and morphology. Comput Electron Agric 39:141-155
    • (2003) Comput Electron Agric , vol.39 , pp. 141-155
    • Onyango, C.M.1    Marchant, J.A.2
  • 50
    • 0027788685 scopus 로고
    • The reflectance at the 950-970 nm region as an indicator of plant water status
    • Penuelas J, Filella I, Biel C, Serrano L, Save R (1993) The reflectance at the 950-970 nm region as an indicator of plant water status. Int J Remote Sens 14:1887-1905
    • (1993) Int J Remote Sens , vol.14 , pp. 1887-1905
    • Penuelas, J.1    Filella, I.2    Biel, C.3    Serrano, L.4    Save, R.5
  • 51
    • 81055137610 scopus 로고    scopus 로고
    • Automatic GPS-based intra-row weed knife control system for transplanted row crops
    • Perez-Ruiz M, Slaughter DC, Gliever CJ, Upadhyaya SK (2012) Automatic GPS-based intra-row weed knife control system for transplanted row crops. Comput Electron Agric 80:41-49. doi:10.1016/j. compag.2011.10.006
    • (2012) Comput Electron Agric , vol.80 , pp. 41-49
    • Perez-Ruiz, M.1    Slaughter, D.C.2    Gliever, C.J.3    Upadhyaya, S.K.4
  • 52
    • 47149115270 scopus 로고    scopus 로고
    • Classification of crops and weeds extracted by active shape models
    • Persson M, Astrand B (2008) Classification of crops and weeds extracted by active shape models.Biosyst Eng 100:484-497
    • (2008) Biosyst Eng , vol.100 , pp. 484-497
    • Persson, M.1    Astrand, B.2
  • 53
    • 68749121945 scopus 로고    scopus 로고
    • ) Improving in-row weed detection in multispec-tral stereoscopic images
    • Piron A, Leemans V, Lebeau F, Destain MF (2009) Improving in-row weed detection in multispec-tral stereoscopic images. Comput Electron Agric 69:73-79
    • (2009) Comput Electron Agric , vol.69 , pp. 73-79
    • Piron, A.1    Leemans, V.2    Lebeau, F.3    Destain, M.F.4
  • 55
    • 0028667905 scopus 로고
    • How unique are spectral signatures?
    • Price JC (1994) How unique are spectral signatures? Remote Sens Environ 49:181-186
    • (1994) Remote Sens Environ , vol.49 , pp. 181-186
    • Price, J.C.1
  • 56
    • 14744269926 scopus 로고    scopus 로고
    • Applications of spectral reflectance techniques in Northern European cereal production: A review
    • Scotford IM, Miller PCH (2005) Applications of spectral reflectance techniques in Northern European cereal production: a review. Biosyst Eng 90(3):235-250
    • (2005) Biosyst Eng , vol.90 , Issue.3 , pp. 235-250
    • Scotford, I.M.1    Miller, P.2
  • 57
    • 0025511038 scopus 로고
    • Plant identification using color co-occurrence matrices
    • Shearer SA, Holmes RG (1990) Plant identification using color co-occurrence matrices. Trans Am Soc Agric Eng 33(6):1037-1044
    • (1990) Trans am Soc Agric Eng , vol.33 , Issue.6 , pp. 1037-1044
    • Shearer, S.A.1    Holmes, R.G.2
  • 58
    • 14844331525 scopus 로고    scopus 로고
    • Discriminating weeds from processing tomato plants using visible and near-infrared spectroscopy
    • Slaughter DC, Lanini WT, Giles DK (2004) Discriminating weeds from processing tomato plants using visible and near-infrared spectroscopy. Trans Am Soc Agric Eng 47(6):1907-1911
    • (2004) Trans am Soc Agric Eng , vol.47 , Issue.6 , pp. 1907-1911
    • Slaughter, D.C.1    Lanini, W.T.2    Giles, D.K.3
  • 60
    • 46049097344 scopus 로고    scopus 로고
    • Multispectral machine vision identification of lettuce and weed seedlings for automated weed control
    • Slaughter DC, Giles DK, Fennimore SA, Smith RF (2008b) Multispectral machine vision identification of lettuce and weed seedlings for automated weed control. Weed Technol 22(2):378-384
    • (2008) Weed Technol , vol.22 , Issue.2 , pp. 378-384
    • Slaughter, D.C.1    Giles, D.K.2    Fennimore, S.A.3    Smith, R.F.4
  • 61
    • 20744435648 scopus 로고    scopus 로고
    • Weed classification by active shape models
    • Sogaard HT (2005) Weed classification by active shape models. Biosyst Eng 91(3):271-281
    • (2005) Biosyst Eng , vol.91 , Issue.3 , pp. 271-281
    • Sogaard, H.T.1
  • 63
    • 0034300571 scopus 로고    scopus 로고
    • Morphological image analysis applied to crop field mapping
    • Soille P (2000a) Morphological image analysis applied to crop field mapping. Image Vis Comput 18:1025-1032
    • (2000) Image Vis Comput , vol.18 , pp. 1025-1032
    • Soille, P.1
  • 64
    • 84956800683 scopus 로고    scopus 로고
    • Morphological image analysis applied to crop field mapping
    • Last Accessed 24 Sept
    • Soille P (2000b) Morphological image analysis applied to crop field mapping: electronic appendix.http://mdigest.jrc.ec.europa.eu/soille/ivc2000/elecapp.html. Last accessed 24 Sept 2012
    • (2000) Electronic appendix , pp. 2012
    • Soille, P.1
  • 65
    • 51849143316 scopus 로고    scopus 로고
    • Image processing, analysis, and machine vision
    • 3rd edn., Toronto, 972 pp. ISBN 13: 978-0495082521
    • Sonka M, Hlavac V, Boyle R (2007) Image processing, analysis, and machine vision, 3rd edn. Thomson Engineering, Toronto, 972 pp. ISBN 13: 978-0495082521
    • (2007) Thomson Engineering
    • Sonka, M.1    Hlavac, V.2    Boyle, R.3
  • 66
    • 0036459332 scopus 로고    scopus 로고
    • An autonomous crop treatment robot: Part I. A Kalman filter model for localization and crop/weed classification
    • Southall B, Hague T, Marchant JA, Buxton BF (2002) An autonomous crop treatment robot: Part I. A Kalman filter model for localization and crop/weed classification. Int J Robot Res 21(1):61-74
    • (2002) Int J Robot Res , vol.21 , Issue.1 , pp. 61-74
    • Southall, B.1    Hague, T.2    Marchant, J.A.3    Buxton, B.F.4
  • 68
    • 0242318898 scopus 로고    scopus 로고
    • Classification of broadleaf and grass weeds using Gabor wavelets and an artificial neural network
    • Tang L, Tian L, Steward BL (2003) Classification of broadleaf and grass weeds using Gabor wavelets and an artificial neural network. Trans Am Soc Agric Eng 46(4):1247-1254
    • (2003) Trans am Soc Agric Eng , vol.46 , Issue.4 , pp. 1247-1254
    • Tang, L.1    Tian, L.2    Steward, B.L.3
  • 69
    • 0034807710 scopus 로고    scopus 로고
    • A field assessment of a potential method for weed and crop mapping on the basis of crop planting geometry
    • Tillett ND, Hague T, Miles SJ (2001) A field assessment of a potential method for weed and crop mapping on the basis of crop planting geometry. Comput Electron Agric 32:229-246
    • (2001) Comput Electron Agric , vol.32 , pp. 229-246
    • Tillett, N.D.1    Hague, T.2    Miles, S.J.3
  • 70
    • 38549112647 scopus 로고    scopus 로고
    • Mechanical within-row weed control for transplanted crops using computer vision
    • Tillett ND, Hague T, Grundy AC, Dedousis AP (2008) Mechanical within-row weed control for transplanted crops using computer vision. Biosyst Eng 99:171-178
    • (2008) Biosyst Eng , vol.99 , pp. 171-178
    • Tillett, N.D.1    Hague, T.2    Grundy, A.C.3    Dedousis, A.P.4
  • 74
    • 84871700769 scopus 로고    scopus 로고
    • Chapter 8: Detection and identification of weeds
    • Oerke E-C et al (eds), Springer, Dordrecht
    • Weis M, Sokefeld M (2010) Chapter 8: Detection and identification of weeds. In: Oerke E-C et al (eds) Precision crop protection ’ the challenge and use of heterogeneity. Springer, Dordrecht, pp 119-134. doi:10.1007/978-90-481-9277-9_8
    • (2010) Precision Crop Protection ’ the Challenge and Use of Heterogeneity , pp. 119-134
    • Weis, M.1    Sokefeld, M.2
  • 75
    • 84912541737 scopus 로고    scopus 로고
    • Hyperspectral vision-based machine learning for robust plant recognition in autonomous weed control
    • University of California, Davis
    • Zhang Y (2011) Hyperspectral vision-based machine learning for robust plant recognition in autonomous weed control. PhD dissertation. University of California, Davis
    • (2011) Phd Dissertation
    • Zhang, Y.1
  • 76
    • 80054003120 scopus 로고    scopus 로고
    • Influence of solar irradiance on hyperspectral imaging-based plant recognition for autonomous weed control
    • Zhang Y, Slaughter DC (2011a) Influence of solar irradiance on hyperspectral imaging-based plant recognition for autonomous weed control. Biosyst Eng 110(3):330-339. doi:10.1016/j. biosystemseng.2011.09.006
    • (2011) Biosyst Eng , vol.110 , Issue.3 , pp. 330-339
    • Zhang, Y.1    Slaughter, D.C.2
  • 77
    • 79957676935 scopus 로고    scopus 로고
    • Hyperspectral species mapping for automatic weed control in tomato under thermal environmental stress
    • Zhang Y, Slaughter DC (2011b) Hyperspectral species mapping for automatic weed control in tomato under thermal environmental stress. Comput Electron Agric 77(1):95-104. doi:10.1016/j. compag.2011.04.001
    • (2011) Comput Electron Agric , vol.77 , Issue.1 , pp. 95-104
    • Zhang, Y.1    Slaughter, D.C.2
  • 78
    • 84862782421 scopus 로고    scopus 로고
    • Robusthyperspectral vision-based classification for multi-season weed mapping
    • Zhang Y, Slaughter DC, Staab ES (2012) Robusthyperspectral vision-based classification for multi-season weed mapping. J Photogramm Remote Sens 69:65-73. doi:10.1016/j. isprsjprs.2012.02.006
    • (2012) J Photogramm Remote Sens , vol.69 , pp. 65-73
    • Zhang, Y.1    Slaughter, D.C.2    Staab, E.S.3
  • 79
    • 0032078306 scopus 로고    scopus 로고
    • A review of spectral properties of plants and their potential use for crop/weed discrimination in row-crops
    • Zwiggelaar R (1998) A review of spectral properties of plants and their potential use for crop/weed discrimination in row-crops. Crop Prot 17(3):189-206
    • (1998) Crop Prot , vol.17 , Issue.3 , pp. 189-206
    • Zwiggelaar, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.