{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T15:10:21Z","timestamp":1785337821184,"version":"3.55.0"},"reference-count":58,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2014,8,19]],"date-time":"2014-08-19T00:00:00Z","timestamp":1408406400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>An important objective in weed management is the discrimination between grasses (monocots) and broad-leaved weeds (dicots), because these two weed groups can be appropriately controlled by specific herbicides. In fact, efficiency is higher if selective treatment is performed for each type of infestation instead of using a broadcast herbicide on the whole surface. This work proposes a strategy where weeds are characterised by a set of shape descriptors (the seven Hu moments and six geometric shape descriptors). Weeds appear in outdoor field images which display real situations obtained from a RGB camera. Thus, images present a mixture of both weed species under varying conditions of lighting. In the presented approach, four decision-making methods were adapted to use the best shape descriptors as attributes and a choice was taken. This proposal establishes a novel methodology with a high success rate in weed species discrimination.<\/jats:p>","DOI":"10.3390\/s140815304","type":"journal-article","created":{"date-parts":[[2014,8,19]],"date-time":"2014-08-19T10:40:39Z","timestamp":1408444839000},"page":"15304-15324","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":83,"title":["A Novel Approach for Weed Type Classification Based on Shape Descriptors and a Fuzzy Decision-Making Method"],"prefix":"10.3390","volume":"14","author":[{"given":"Pedro","family":"Herrera","sequence":"first","affiliation":[{"name":"Centre for Automation and Robotics, CSIC-UPM, 28500 Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9","family":"Dorado","sequence":"additional","affiliation":[{"name":"Institute of Agricultural Sciences, CSIC, 28006 Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00c1ngela","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Centre for Automation and Robotics, CSIC-UPM, 28500 Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2014,8,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"893","DOI":"10.13031\/2013.13269","article-title":"Development of a precision sprayer for site-specific weed management","volume":"42","author":"Tian","year":"1999","journal-title":"Trans. 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Agric."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1111\/j.1365-3180.1988.tb01606.x","article-title":"Field-scale estimates of grass weed populations in arable land","volume":"28","author":"Marshall","year":"1988","journal-title":"Weed Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1111\/j.1365-3180.1995.tb02033.x","article-title":"A simulation of herbicide use based on weed spatial distribution","volume":"35","author":"Johnson","year":"1995","journal-title":"Weed Res."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Oliver, M., Bishop, T., and Marchant, B. (2013). Precision Agriculture for Sustainability and Environmental Protection, Routledge (Verlag). Chapter 9.","DOI":"10.4324\/9780203128329"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1007\/s11119-011-9247-0","article-title":"Airborne multi-spectral imagery for mapping cruciferous weeds in cereal and legume crops","volume":"13","year":"2012","journal-title":"Precis. Agric."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.1365-3180.2010.00829.x","article-title":"Weed detection for site-specific weed management: Mapping and real-time approaches","volume":"51","year":"2011","journal-title":"Weed Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1023\/A:1021568415380","article-title":"Spatial variability of agricultural soils in southern Spain","volume":"246","author":"Atenciano","year":"2002","journal-title":"Plant Soil"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/S0168-1699(03)00023-1","article-title":"Segmentation of row crop plants from weeds using colour and morphology","volume":"39","author":"Onyango","year":"2003","journal-title":"Comput. Electron. Agric."},{"key":"ref_12","unstructured":"Stafford, J.V. (2005, January 9\u201312). Development of an image analysis system for estimation of weed. Uppsala, Sweden."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.compag.2007.07.008","article-title":"A new vision-based approach to differential spraying in precision agriculture","volume":"60","author":"Tellaeche","year":"2008","journal-title":"Comput. Electron. Agric."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1016\/j.patcog.2007.07.007","article-title":"A vision-based method for weeds identification through the Bayesian decision theory","volume":"41","author":"Tellaeche","year":"2008","journal-title":"Pattern Recognit."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.compag.2008.09.001","article-title":"Improving weed pressure assessment using digital images from an experience-based reasoning approach","volume":"65","author":"Ribeiro","year":"2009","journal-title":"Comput. Electron. Agric."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/S0168-1699(98)00037-4","article-title":"Environmentally adaptive segmentation algorithm for outdoor image segmentation","volume":"21","author":"Tian","year":"1998","journal-title":"Comput. Electron. Agric."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1614\/WS-04-068R1","article-title":"Site-specific weed management: Sensing requirements\u2014What do we need to see?","volume":"53","author":"Brown","year":"2005","journal-title":"Weed Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.compag.2010.09.013","article-title":"Automatic segmentation of relevant textures in agricultural images","volume":"75","author":"Guijarro","year":"2011","journal-title":"Comput. Electron. Agric."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1023\/A:1009977903204","article-title":"Robotic weed control system for tomatoes","volume":"1","author":"Lee","year":"1999","journal-title":"Precis. Agric."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.13031\/2013.17244","article-title":"Textural imaging and discriminant analysis for distinguishing weeds for spot spraying","volume":"41","author":"Meyer","year":"1998","journal-title":"Trans. ASABE"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.compag.2008.12.003","article-title":"Weed image classification using Gabor wavelet and gradient field distribution","volume":"66","author":"Ishak","year":"2009","journal-title":"Comput. Electron. Agric."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1006\/jaer.2000.0639","article-title":"Precision agriculture: Computer-vision-based weed identification under field conditions using controlled lighting","volume":"78","author":"Hemming","year":"2001","journal-title":"J. Agric. Eng. Res."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.compag.2010.12.011","article-title":"Real-time image processing for crop\/weed discrimination in maize fields","volume":"75","author":"Ribeiro","year":"2011","journal-title":"Comput. Electron. Agric."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"735","DOI":"10.13031\/2013.17721","article-title":"Herbicide microdosing for weed control in field grown processing tomatoes","volume":"20","author":"Giles","year":"2004","journal-title":"Appl. Eng. Agric."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.biosystemseng.2006.11.009","article-title":"Application accuracy of a machine vision-controlled robotic microdosing system","volume":"96","author":"Sogaard","year":"2007","journal-title":"Biosyst. Eng."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1016\/j.biosystemseng.2009.09.005","article-title":"Direct application end effector for a precise weed control robot","volume":"104","author":"Jeon","year":"2009","journal-title":"Biosyst. Eng."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1111\/j.1365-3180.2009.00696.x","article-title":"Site-specific weed control technologies","volume":"49","author":"Christensen","year":"2009","journal-title":"Weed Res."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1111\/j.1365-3180.2012.00903.x","article-title":"True integrated weed management","volume":"52","author":"Young","year":"2012","journal-title":"Weed Res."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"7095","DOI":"10.3390\/s110707095","article-title":"Mapping Wide Row Crops with Video Sequences Acquired from a Tractor Moving at Treatment Speed","volume":"11","author":"Ribeiro","year":"2011","journal-title":"Sensors"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.imavis.2009.05.009","article-title":"Analysis of natural images processing for the extraction of agricultural elements","volume":"28","author":"Ribeiro","year":"2010","journal-title":"Image Vis. Comput."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.13031\/2013.13944","article-title":"Classification of broadleaf and grass weeds using Gabor wavelets and an Artificial Neural Network","volume":"46","author":"Tang","year":"2003","journal-title":"Trans. ASAE"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1007\/s11119-008-9097-6","article-title":"Beyond patch spraying: Site-specific weed management with several herbicides","volume":"10","author":"Wiles","year":"2009","journal-title":"Precis. Agric."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1111\/j.1365-3180.2011.00876.x","article-title":"Weed discrimination using ultrasonic sensors","volume":"51","author":"Dorado","year":"2011","journal-title":"Weed Res."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.compag.2012.12.012","article-title":"Potential of a terrestrial LiDAR-based system to characterise weed vegetation in maize crops","volume":"92","author":"Dorado","year":"2013","journal-title":"Comput. Electron. Agric."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.biosystemseng.2004.12.012","article-title":"Evaluation of Neural-network Classifiers for Weed Species Discrimination","volume":"91","author":"Burks","year":"2005","journal-title":"Biosyst. Eng."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1366\/10-06100","article-title":"Discrimination of Corn from Monocotyledonous Weeds with Ultraviolet (UV) Induced Fluorescence","volume":"65","author":"Panneton","year":"2011","journal-title":"Appl. Spectrosc."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Chen, Y.R., Meyer, G.E., and Tu, S. (2005, January 8). Crop species identification using machine vision of computer extracted individual leaves. Bellingham, WA, USA. SPIE 5996.","DOI":"10.1117\/12.631715"},{"key":"ref_38","unstructured":"Gonzalez, R.C., and Woods, R.E. (2008). Digital Image Processing, Prentice Hall."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.patcog.2003.07.008","article-title":"Review of shape representation and description techniques","volume":"37","author":"Zhang","year":"2004","journal-title":"Pattern Recognit."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1007\/BF02716709","article-title":"Real object recognition using moment invariants","volume":"30","author":"Mercimek","year":"2005","journal-title":"Sadhana"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Flusser, J., Suk, T., and Zitov\u00e1, B. (2009). Moments and Moment Invariants in Pattern Recognition, John Wiley & Sons, Ltd.","DOI":"10.1002\/9780470684757"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1109\/TIT.1962.1057692","article-title":"Visual pattern recognition by moment invariants","volume":"8","author":"Hu","year":"1962","journal-title":"IRE Trans. Inf. Theory"},{"key":"ref_43","unstructured":"Stafford, J.V. (2007, January 3\u20136). Feature extraction for the identification of weed species in digital images for the purpose of site-specific weed control. Skiatos, Greece."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"5585","DOI":"10.3390\/s130505585","article-title":"Seedling Discrimination with Shape Features Derived from a Distance Transform","volume":"13","author":"Giselsson","year":"2013","journal-title":"Sensors"},{"key":"ref_45","unstructured":"Armada, M.A., Sanfeliu, A., and Ferre, M. (2014). ROBOT 2013 Advances in Robotics. Advances in Intelligent Systems and Computing, Springer International Publishing. AISC 252."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Kuncheva, L. (2004). Combining Pattern Classifiers: Methods and Algorithms, Wiley.","DOI":"10.1002\/0471660264"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"7262","DOI":"10.1016\/j.eswa.2008.09.021","article-title":"On combining classifiers through a fuzzy multicriteria decision making approach: Applied to natural textured images","volume":"36","author":"Guijarro","year":"2009s","journal-title":"Expert Syst. Appl."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Yu, W., and Sanchez, E.N. (2009). Advances in Computational Intelligence, Springer-Verlag. AISC 61.","DOI":"10.1007\/978-3-642-03156-4"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Blanc-Talon, J., Philips, W., Popescu, D., and Scheunders, P. (2009). Advanced Concepts for Intelligent Vision Systems, Springer-Verlag. LNCS 5807.","DOI":"10.1007\/978-3-642-04697-1"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Yin, H., and Corchado, E. (2009). Intelligent Data Engineering and Automated Learning, Springer-Verlag. LNCS 5788.","DOI":"10.1007\/978-3-642-04394-9"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"908","DOI":"10.1016\/j.asoc.2010.01.011","article-title":"A computer vision approach for weeds identification through support vector machines","volume":"11","author":"Tellaeche","year":"2011","journal-title":"Appl. Soft Comput."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.cropro.2012.04.024","article-title":"Classification of crops and weeds from digital images: A support vector machine approach","volume":"40","author":"Ahmed","year":"2012","journal-title":"Crop Prot."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.compag.2012.05.015","article-title":"Aquatic weed automatic classification using machine learning techniques","volume":"87","author":"Pereira","year":"2012","journal-title":"Comput. Electron. Agric."},{"key":"ref_54","unstructured":"Haralick, R.M., and Shapiro, L.G. (1992). Computer and Robot Vision, Addison-Wesley."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1111\/j.2517-6161.1968.tb00722.x","article-title":"A generalization of Bayesian inference","volume":"30","author":"Dempster","year":"1968","journal-title":"J. R. Stat. Soc."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Shafer, G. (1976). A Mathematical Theory of Evidence, Princeton University Press.","DOI":"10.1515\/9780691214696"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0165-0114(97)00377-1","article-title":"Extensions of the TOPSIS for group decision-making under fuzzy environment","volume":"114","author":"Chen","year":"2000","journal-title":"Fuzzy Sets Syst."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1016\/j.knosys.2006.03.002","article-title":"Risk and confidence analysis for fuzzy multi criteria decision making","volume":"19","author":"Wang","year":"2006","journal-title":"Knowl. Based Syst."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/14\/8\/15304\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:14:57Z","timestamp":1760217297000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/14\/8\/15304"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,8,19]]},"references-count":58,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2014,8]]}},"alternative-id":["s140815304"],"URL":"https:\/\/doi.org\/10.3390\/s140815304","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,8,19]]}}}