{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T08:00:11Z","timestamp":1725868811686},"publisher-location":"Cham","reference-count":40,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319486796"},{"type":"electronic","value":"9783319486802"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-48680-2_18","type":"book-chapter","created":{"date-parts":[[2016,10,20]],"date-time":"2016-10-20T17:31:00Z","timestamp":1476984660000},"page":"193-204","source":"Crossref","is-referenced-by-count":4,"title":["Vegetation Segmentation in Cornfield Images Using Bag of Words"],"prefix":"10.1007","author":[{"given":"Yerania","family":"Campos","sequence":"first","affiliation":[]},{"given":"Erik","family":"Rodner","sequence":"additional","affiliation":[]},{"given":"Joachim","family":"Denzler","sequence":"additional","affiliation":[]},{"given":"Humberto","family":"Sossa","sequence":"additional","affiliation":[]},{"given":"Gonzalo","family":"Pajares","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,10,21]]},"reference":[{"key":"18_CR1","unstructured":"RHEA: robot fleets for highly effective agriculture and forestry management (2016). http:\/\/www.rhea-project.eu\/"},{"issue":"3","key":"18_CR2","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.jterra.2013.03.004","volume":"50","author":"H Mousazadeh","year":"2013","unstructured":"Mousazadeh, H.: A technical review on navigation systems of agricultural autonomous off-road vehicles. J. Terramech. 50(3), 211\u2013232 (2013)","journal-title":"J. Terramech."},{"key":"18_CR3","unstructured":"Saxena, L., Armstrong, L.: A survey of image processing techniques for agriculture. In: Proceedings of Asian Federation for Information Technology in Agriculture (2014)"},{"key":"18_CR4","doi-asserted-by":"crossref","unstructured":"Haug, S., Michaels, A., Biber, P., Ostermann, J.: Plant classification system for crop\/weed discrimination without segmentation. In: IEEE Winter Conference on Applications of Computer Vision, pp. 1142\u20131149, March 2014","DOI":"10.1109\/WACV.2014.6835733"},{"key":"18_CR5","first-page":"375","volume":"3","author":"SH Hlaing","year":"2014","unstructured":"Hlaing, S.H., Khaing, A.S.: Weed and crop segmentation and classification using area thresholding. J. Res. Eng. Technol. 3, 375 (2014)","journal-title":"J. Res. Eng. Technol."},{"key":"18_CR6","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.compag.2014.03.005","volume":"104","author":"V Tewari","year":"2014","unstructured":"Tewari, V., Kumar, A.A., Nare, B., Prakash, S., Tyagi, A.: Microcontroller based roller contact type herbicide applicator for weed control under row crops. Comput. Electron. Agric. 104, 40\u201345 (2014)","journal-title":"Comput. Electron. Agric."},{"key":"18_CR7","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1016\/j.compag.2015.02.014","volume":"113","author":"KH Choi","year":"2015","unstructured":"Choi, K.H., Han, S.K., Han, S.H., Park, K.H., Kim, K.S., Kim, S.: Morphology-based guidance line extraction for an autonomous weeding robot in paddy fields. Comput. Electron. Agric. 113, 266\u2013274 (2015)","journal-title":"Comput. Electron. Agric."},{"key":"18_CR8","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.compag.2015.03.019","volume":"114","author":"J Torres-Snchez","year":"2015","unstructured":"Torres-Snchez, J., Lpez-Granados, F., Pea, J.: An automatic object-based method for optimal thresholding in UAV images: application for vegetation detection in herbaceous crops. Comput. Electron. Agric. 114, 43\u201352 (2015)","journal-title":"Comput. Electron. Agric."},{"key":"18_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1007\/978-3-319-22180-9_33","volume-title":"Intelligent Computing Theories and Methodologies","author":"W Yang","year":"2015","unstructured":"Yang, W., Zhao, X., Wang, S., Chen, L., Chen, X., Lu, S.: A new approach for greenness identification from maize images. In: Huang, D.-S., Bevilacqua, V., Prashan, P. (eds.) ICIC 2015. LNCS, vol. 9225, pp. 339\u2013347. Springer, Heidelberg (2015). doi: 10.1007\/978-3-319-22180-9_33"},{"issue":"5","key":"18_CR10","doi-asserted-by":"crossref","first-page":"2429","DOI":"10.1016\/j.eswa.2014.10.033","volume":"42","author":"G Jiang","year":"2015","unstructured":"Jiang, G., Wang, Z., Liu, H.: Automatic detection of crop rows based on multi-rois. Expert Syst. Appl. 42(5), 2429\u20132441 (2015)","journal-title":"Expert Syst. Appl."},{"key":"18_CR11","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.compag.2014.11.006","volume":"112","author":"Q Meng","year":"2015","unstructured":"Meng, Q., Qiu, R., He, J., Zhang, M., Ma, X., Liu, G.: Development of agricultural implement system based on machine vision and fuzzy control. Comput. Electron. Agric. 112, 128\u2013138 (2015). Precision Agriculture","journal-title":"Comput. Electron. Agric."},{"key":"18_CR12","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/j.compag.2015.09.011","volume":"118","author":"M Guijarro","year":"2015","unstructured":"Guijarro, M., Riomoros, I., Pajares, G., Zitinski, P.: Discrete wavelets transform for improving greenness image segmentation in agricultural images. Comput. Electron. Agric. 118, 396\u2013407 (2015)","journal-title":"Comput. Electron. Agric."},{"issue":"1","key":"18_CR13","first-page":"849","volume":"83","author":"P Balasubramaniam","year":"2015","unstructured":"Balasubramaniam, P., Ananthi, V.P.: Segmentation of nutrient deficiency in incomplete crop images using intuitionistic fuzzy c-means clustering algorithm. Nonlinear Dyn. 83(1), 849\u2013866 (2015)","journal-title":"Nonlinear Dyn."},{"key":"18_CR14","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.compag.2015.01.008","volume":"112","author":"W Kazmi","year":"2015","unstructured":"Kazmi, W., Garcia-Ruiz, F.J., Nielsen, J., Rasmussen, J., Andersen, H.J.: Detecting creeping thistle in sugar beet fields using vegetation indices. Comput. Electron. Agric. 112, 10\u201319 (2015). Precision Agriculture","journal-title":"Comput. Electron. Agric."},{"key":"18_CR15","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.compag.2015.08.023","volume":"118","author":"W Kazmi","year":"2015","unstructured":"Kazmi, W., Garcia-Ruiz, F., Nielsen, J., Rasmussen, J., Andersen, H.J.: Exploiting affine invariant regions and leaf edge shapes for weed detection. Comput. Electron. Agric. 118, 290\u2013299 (2015)","journal-title":"Comput. Electron. Agric."},{"key":"18_CR16","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.compag.2015.04.010","volume":"114","author":"M Ye","year":"2015","unstructured":"Ye, M., Cao, Z., Yu, Z., Bai, X.: Crop feature extraction from images with probabilistic superpixel Markov random field. Comput. Electron. Agric. 114, 247\u2013260 (2015)","journal-title":"Comput. Electron. Agric."},{"key":"18_CR17","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1007\/978-3-319-19324-3_46","volume-title":"Artificial Intelligence and Soft Computing","author":"B Cheng","year":"2015","unstructured":"Cheng, B., Matson, E.T.: A feature-based machine learning agent for automatic rice and weed discrimination. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2015. LNCS (LNAI), vol. 9119, pp. 517\u2013527. Springer, Heidelberg (2015). doi: 10.1007\/978-3-319-19324-3_46"},{"key":"18_CR18","doi-asserted-by":"crossref","unstructured":"Moorthy, S., Boigelot, B., Mercatoris, B.: Effective segmentation of green vegetation for resource-constrained real-time applications. In: Proceedings of Precision Agriculture (2015)","DOI":"10.3920\/978-90-8686-814-8_31"},{"key":"18_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/978-3-319-16220-1_18","volume-title":"Computer Vision-ECCV 2014 Workshops","author":"TT Santos","year":"2015","unstructured":"Santos, T.T., Koenigkan, L.V., Barbedo, J.G.A., Rodrigues, G.C.: 3D plant modeling: localization, mapping and segmentation for plant phenotyping using a single hand-held camera. In: Agapito, L., Bronstein, M.M., Rother, C. (eds.) ECCV 2014. LNCS, vol. 8928, pp. 247\u2013263. Springer, Heidelberg (2015). doi: 10.1007\/978-3-319-16220-1_18"},{"key":"18_CR20","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.compag.2015.03.002","volume":"113","author":"RT Ionescu","year":"2015","unstructured":"Ionescu, R.T., Popescu, A.L., Popescu, M., Popescu, D.: Biomassid: a biomass type identification system for mobile devices. Comput. Electron. Agric. 113, 244\u2013253 (2015)","journal-title":"Comput. Electron. Agric."},{"issue":"1","key":"18_CR21","doi-asserted-by":"crossref","first-page":"259","DOI":"10.13031\/2013.27838","volume":"38","author":"D Woebbecke","year":"1995","unstructured":"Woebbecke, D., Meyer, G., Von Bargen, K., Mortensen, D.: Color indices for weed identification under various soil, residue, and lighting conditions. Trans. ASAE 38(1), 259\u2013269 (1995)","journal-title":"Trans. ASAE"},{"issue":"4","key":"18_CR22","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.13031\/2013.17244","volume":"41","author":"G Meyer","year":"1998","unstructured":"Meyer, G., Mehta, T., Kocher, M., Mortensen, D., Samal, A.: Textural imaging and discriminant analysis for distinguishing weeds for spot spraying. Trans. ASAE 41(4), 1189 (1998)","journal-title":"Trans. ASAE"},{"key":"18_CR23","doi-asserted-by":"crossref","unstructured":"Kataoka, T., Kaneko, T., Okamoto, H., et al.: Crop growth estimation system using machine vision. In: Proceedings of 2003 IEEE\/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2003, vol. 2, pp. b1079\u2013b1083. IEEE (2003)","DOI":"10.1109\/AIM.2003.1225492"},{"issue":"2","key":"18_CR24","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.compag.2008.03.009","volume":"63","author":"GE Meyer","year":"2008","unstructured":"Meyer, G.E., Neto, J.C.: Verification of color vegetation indices for automated crop imaging applications. Comput. Electron. Agric. 63(2), 282 (2008)","journal-title":"Comput. Electron. Agric."},{"key":"18_CR25","doi-asserted-by":"crossref","unstructured":"Woebbecke, D.M., Meyer, G.E., Von Bargen, K., Mortensen, D.A.: Plant species identification, size, and enumeration using machine vision techniques on near-binary images. In: Proceedings of Applications in Optical Science and Engineering, International Society for Optics and Photonics, pp. 208\u2013219 (1993)","DOI":"10.1117\/12.144030"},{"issue":"1","key":"18_CR26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1746-4811-7-1","volume":"7","author":"MR Golzarian","year":"2011","unstructured":"Golzarian, M.R., Frick, R.A.: Classification of images of wheat, ryegrass and brome grass species at early growth stages using principal component analysis. Plant Methods 7(1), 1\u201311 (2011)","journal-title":"Plant Methods"},{"key":"18_CR27","volume-title":"Introduction to Modern Information Retrieval","author":"G Salton","year":"1986","unstructured":"Salton, G., Mcgill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill Inc., New York (1986)"},{"key":"18_CR28","volume-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning (Information Science and Statistics). Springer, New York (2006)"},{"issue":"2","key":"18_CR29","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vis."},{"issue":"3","key":"18_CR30","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.cviu.2007.09.014","volume":"110","author":"H Bay","year":"2008","unstructured":"Bay, H., Ess, A., Tuytelaars, T., Gool, L.V.: Speeded-up robust features (SURF). Comput. Vis. Image Underst. 110(3), 346\u2013359 (2008). Similarity Matching in Computer Vision and Multimedia","journal-title":"Comput. Vis. Image Underst."},{"issue":"1","key":"18_CR31","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.compag.2010.09.013","volume":"75","author":"M Guijarro","year":"2011","unstructured":"Guijarro, M., Pajares, G., Riomoros, I., Herrera, P., Burgos-Artizzu, X., Ribeiro, A.: Automatic segmentation of relevant textures in agricultural images. Comput. Electron. Agric. 75(1), 75\u201383 (2011)","journal-title":"Comput. Electron. Agric."},{"key":"18_CR32","unstructured":"MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, pp. 281\u2013297. University of California Press, Berkeley (1967)"},{"key":"18_CR33","doi-asserted-by":"crossref","first-page":"27:1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2, 27:1\u201327:27 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"18_CR34","unstructured":"Labatut, V., Cherifi, H.: Accuracy measures for the comparison of classifiers. CoRR abs\/1207.3790 (2012)"},{"volume-title":"Self-organizing Maps","year":"1997","key":"18_CR35","unstructured":"Kohonen, T. (ed.): Self-organizing Maps. Springer, New York (1997)"},{"issue":"3","key":"18_CR36","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1080\/01969727308546046","volume":"3","author":"JC Dunn","year":"1973","unstructured":"Dunn, J.C.: A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters. J. Cybern. 3(3), 32\u201357 (1973)","journal-title":"J. Cybern."},{"issue":"2","key":"18_CR37","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1023\/B:VISI.0000022288.19776.77","volume":"59","author":"PF Felzenszwalb","year":"2004","unstructured":"Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient graph-based image segmentation. Int. J. Comput. Vis. 59(2), 167\u2013181 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"18_CR38","doi-asserted-by":"crossref","unstructured":"Brust, C., Sickert, S., Simon, M., Rodner, E., Denzler, J.: Convolutional patch networks with spatial prior for road detection and urban scene understanding. CoRR abs\/1502.06344 (2015)","DOI":"10.5220\/0005355105100517"},{"key":"18_CR39","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1007\/978-3-642-37331-2_17","volume-title":"Computer Vision\u2013ACCV 2012","author":"B Fr\u00f6hlich","year":"2013","unstructured":"Fr\u00f6hlich, B., Rodner, E., Denzler, J.: Semantic segmentation with millions of features: integrating multiple cues in a combined random forest approach. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds.) ACCV 2012. LNCS, vol. 7724, pp. 218\u2013231. Springer, Heidelberg (2013). doi: 10.1007\/978-3-642-37331-2_17"},{"issue":"2","key":"18_CR40","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1007\/s11263-009-0245-x","volume":"88","author":"D Larlus","year":"2010","unstructured":"Larlus, D., Verbeek, J., Jurie, F.: Category level object segmentation by combining bag-of-words models with dirichlet processes and random fields. Int. J. Comput. Vis. 88(2), 238\u2013253 (2010)","journal-title":"Int. J. Comput. Vis."}],"container-title":["Lecture Notes in Computer Science","Advanced Concepts for Intelligent Vision Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-48680-2_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T21:23:04Z","timestamp":1568496184000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-48680-2_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319486796","9783319486802"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-48680-2_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}