{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T10:44:17Z","timestamp":1769251457691,"version":"3.49.0"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031453915","type":"print"},{"value":"9783031453922","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-45392-2_10","type":"book-chapter","created":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T20:17:29Z","timestamp":1697055449000},"page":"146-161","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Simple and\u00a0Low-Cost Method for\u00a0Leaf Surface Dimension Estimation Based on\u00a0Digital Images"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0211-3805","authenticated-orcid":false,"given":"Karla Gabriele Florentino","family":"da Silva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8517-4216","authenticated-orcid":false,"given":"Jonas Magalh\u00e3es","family":"Moreira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0099-6044","authenticated-orcid":false,"given":"Gabriel Barreto","family":"Calixto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9193-2302","authenticated-orcid":false,"given":"Luiz Maur\u00edlio","family":"da Silva Maciel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1877-5624","authenticated-orcid":false,"given":"M\u00e1rcio Assis","family":"Miranda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0211-4218","authenticated-orcid":false,"given":"Leandro Elias","family":"Morais","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,12]]},"reference":[{"issue":"1","key":"10_CR1","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1111\/j.1744-7348.2008.00235.x","volume":"153","author":"WC Antunes","year":"2008","unstructured":"Antunes, W.C., Pompelli, M.F., Carretero, D.M., DaMatta, F.: Allometric models for non-destructive leaf area estimation in coffee (coffea arabica and coffea canephora). Annal. Appl. Biol. 153(1), 33\u201340 (2008)","journal-title":"Annal. Appl. Biol."},{"key":"10_CR2","first-page":"120","volume":"25","author":"G Bradski","year":"2000","unstructured":"Bradski, G.: The opencv library. Dr Dobb\u2019s J. Softw. Tools 25, 120\u2013125 (2000)","journal-title":"Dr Dobb\u2019s J. Softw. Tools"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Cohen-Or, D., et al.: A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing. CRC Press (2015)","DOI":"10.1201\/b18472"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Dornbusch, T., et al.: Plasticity of winter wheat modulated by sowing date, plant population density and nitrogen fertilisation: dimensions and size of leaf blades, sheaths and internodes in relation to their position on a stem. Field. Crop. Res. 121(1), 116\u2013124 (2011)","DOI":"10.1016\/j.fcr.2010.12.004"},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Douglas, D.H., Peucker, T.K.: Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. Cartographica Int. J. Geograph. Inf. Geovisual. 10(2), 112\u2013122 (1973)","DOI":"10.3138\/FM57-6770-U75U-7727"},{"issue":"7","key":"10_CR6","doi-asserted-by":"publisher","first-page":"1400033","DOI":"10.3732\/apps.1400033","volume":"2","author":"HM Easlon","year":"2014","unstructured":"Easlon, H.M., Bloom, A.J.: Easy leaf area: automated digital image analysis for rapid and accurate measurement of leaf area. Appl. Plant Sci. 2(7), 1400033 (2014)","journal-title":"Appl. Plant Sci."},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Evert, R.F., Eichhorn, S.E.: Raven: biology of plants. No. 581 RAV (2013)","DOI":"10.1007\/978-1-319-15626-8"},{"key":"10_CR8","unstructured":"Gao, J., et al.: Measuring plant leaf area by scanner and imagej software. China Vegetables 2, 73\u201377 (2011)"},{"issue":"2","key":"10_CR9","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1111\/brv.12571","volume":"95","author":"C Gely","year":"2020","unstructured":"Gely, C., Laurance, S.G., Stork, N.E.: How do herbivorous insects respond to drought stress in trees? Biol. Rev. 95(2), 434\u2013448 (2020)","journal-title":"Biol. Rev."},{"key":"10_CR10","unstructured":"IBGE. Agricultura, pecu\u00e1ria e outros | ibge (2023). https:\/\/www.ibge.gov.br\/estatisticas\/economicas\/agricultura-e-pecuaria.html. Accessed 17 May 2023"},{"issue":"2","key":"10_CR11","doi-asserted-by":"publisher","first-page":"33","DOI":"10.6025\/jmpt\/2018\/9\/2\/33-44","volume":"9","author":"M Jadon","year":"2018","unstructured":"Jadon, M.: A novel method for leaf area estimation based on hough transform. JMPT 9(2), 33\u201344 (2018)","journal-title":"JMPT"},{"key":"10_CR12","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.atmosenv.2015.01.052","volume":"105","author":"S Janh\u00e4ll","year":"2015","unstructured":"Janh\u00e4ll, S.: Review on urban vegetation and particle air pollution-deposition and dispersion. Atmos. Environ. 105, 130\u2013137 (2015)","journal-title":"Atmos. Environ."},{"issue":"5","key":"10_CR13","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1111\/j.1365-2745.2011.01856.x","volume":"99","author":"DC Laughlin","year":"2011","unstructured":"Laughlin, D.C.: Nitrification is linked to dominant leaf traits rather than functional diversity. J. Ecol. 99(5), 1091\u20131099 (2011)","journal-title":"J. Ecol."},{"key":"10_CR14","doi-asserted-by":"crossref","unstructured":"Li, Y., et al.: Spatiotemporal variation in leaf size and shape in response to climate. J. Plant Ecol. 13(1), 87\u201396 (2020)","DOI":"10.1093\/jpe\/rtz053"},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Liancourt, P., et al.: Leaf-trait plasticity and species vulnerability to climate change in a mongolian steppe. Glob. Change Biol. 21(9), 3489\u20133498 (2015)","DOI":"10.1111\/gcb.12934"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Liang, W.Z., Kirk, K.R., Greene, J.K.: Estimation of soybean leaf area, edge, and defoliation using color image analysis. Comput. Electron. Agricult. 150, 41\u201351 (2018)","DOI":"10.1016\/j.compag.2018.03.021"},{"issue":"3","key":"10_CR17","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1111\/j.1365-3040.2005.01493.x","volume":"29","author":"SP Long","year":"2006","unstructured":"Long, S.P., Zhu, X.G., Naidu, S.L., Ort, D.R.: Can improvement in photosynthesis increase crop yields? Plant Cell Environ. 29(3), 315\u2013330 (2006)","journal-title":"Plant Cell Environ."},{"key":"10_CR18","doi-asserted-by":"crossref","unstructured":"Lu, J., et al.: Detection of multi-tomato leaf diseases (late blight, target and bacterial spots) in different stages by using a spectral-based sensor. Sci. Rep. 8(1), 2793 (2018)","DOI":"10.1038\/s41598-018-21191-6"},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"Maloof, J.N., Nozue, K., Mumbach, M.R., Palmer, C.M.: Leafj: an imagej plugin for semi-automated leaf shape measurement. JoVE (J. Visual. Exp.) (71), e50028 (2013)","DOI":"10.3791\/50028"},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Marek, J., et al.: Photoynthetic and productive increase in tomato plants treated with strobilurins and carboxamides for the control of alternaria solani. Sci. Hortic. 242, 76\u201389 (2018)","DOI":"10.1016\/j.scienta.2018.07.028"},{"issue":"1","key":"10_CR21","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62\u201366 (1979)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"2011","key":"10_CR22","first-page":"1","volume":"2011","author":"S Pandey","year":"2011","unstructured":"Pandey, S., Singh, H.: A simple, cost-effective method for leaf area estimation. J. Bot. 2011(2011), 1\u20136 (2011)","journal-title":"J. Bot."},{"issue":"2","key":"10_CR23","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1007\/s004420050712","volume":"118","author":"AG Peterson","year":"1999","unstructured":"Peterson, A.G.: Reconciling the apparent difference between mass-and area-based expressions of the photosynthesis-nitrogen relationship. Oecologia 118(2), 144\u2013150 (1999)","journal-title":"Oecologia"},{"key":"10_CR24","doi-asserted-by":"publisher","first-page":"80","DOI":"10.31395\/2310-0478-2018-21-80-82","volume":"2","author":"OV Polunina","year":"2018","unstructured":"Polunina, O.V., Maiboroda, V.P., Seleznov, A.Y.: Evaluation methods of estimation of young apple trees leaf area. Bullet. Uman Natl. Univ. Horticult. 2, 80\u201382 (2018)","journal-title":"Bullet. Uman Natl. Univ. Horticult."},{"key":"10_CR25","doi-asserted-by":"crossref","unstructured":"Poorter, H., et al.: A meta-analysis of plant responses to light intensity for 70 traits ranging from molecules to whole plant performance. New Phytol. 223(3), 1073\u20131105 (2019)","DOI":"10.1111\/nph.15754"},{"key":"10_CR26","doi-asserted-by":"crossref","unstructured":"Sabouri, H., et al.: Image processing and prediction of leaf area in cereals: a comparison of artificial neural networks, an adaptive neuro-fuzzy inference system, and regression methods. Crop Sci. 61(2), 1013\u20131029 (2021)","DOI":"10.1002\/csc2.20373"},{"key":"10_CR27","doi-asserted-by":"crossref","unstructured":"Sanz-S\u00e1ez, \u00c1., et al.: Leaf and canopy scale drivers of genotypic variation in soybean response to elevated carbon dioxide concentration. Glob. Change Biol. 23(9), 3908\u20133920 (2017)","DOI":"10.1111\/gcb.13678"},{"issue":"7","key":"10_CR28","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1038\/nmeth.2089","volume":"9","author":"CA Schneider","year":"2012","unstructured":"Schneider, C.A., Rasband, W.S., Eliceiri, K.W.: Nih image to imagej: 25 years of image analysis. Nat. Methods 9(7), 671\u2013675 (2012)","journal-title":"Nat. Methods"},{"key":"10_CR29","doi-asserted-by":"crossref","unstructured":"Shahnazari, A., et al.: Effects of partial root-zone drying on yield, tuber size and water use efficiency in potato under field conditions. Field Crop. Res. 100(1), 117\u2013124 (2007)","DOI":"10.1016\/j.fcr.2006.05.010"},{"key":"10_CR30","doi-asserted-by":"crossref","unstructured":"Siswantoro, J., Artadana, I.B.M.: Image based leaf area measurement method using artificial neural network. In: 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT), pp. 288\u2013292. IEEE (2019)","DOI":"10.1109\/ICAIIT.2019.8834500"},{"issue":"4","key":"10_CR31","doi-asserted-by":"publisher","first-page":"1626","DOI":"10.1111\/gcb.13526","volume":"23","author":"V Srinivasan","year":"2017","unstructured":"Srinivasan, V., Kumar, P., Long, S.P.: Decreasing, not increasing, leaf area will raise crop yields under global atmospheric change. Glob. Change Biol. 23(4), 1626\u20131635 (2017)","journal-title":"Glob. Change Biol."},{"key":"10_CR32","unstructured":"Stewart, J.: Calculus: concepts and contexts. In: Cengage Learning (2009)"},{"key":"10_CR33","doi-asserted-by":"publisher","unstructured":"Suzuki, S., Be, K.: Topological structural analysis of digitized binary images by border following. Comput. Vis. Graph. Image Process. 30(1), 32\u201346 (1985). https:\/\/doi.org\/10.1016\/0734-189X(85)90016-7","DOI":"10.1016\/0734-189X(85)90016-7"},{"key":"10_CR34","unstructured":"Taiz, L., Zeiger, E.: Auxin: the first discovered plant growth hormone. In: Plant Physiology, 5th edn, pp. 545\u2013582. Sinauer Associates Inc., Publishers, Sunderland (2010)"},{"key":"10_CR35","doi-asserted-by":"crossref","unstructured":"Tech, A.R.B., et al.: Methods of image acquisition and software development for leaf area measurements in pastures. Comput. Electron. Agric. 153, 278\u2013284 (2018)","DOI":"10.1016\/j.compag.2018.08.025"},{"key":"10_CR36","doi-asserted-by":"crossref","unstructured":"Villar, R., et al.: Applying the economic concept of profitability to leaves. Sci. Rep. 11(1), 1\u201310 (2021)","DOI":"10.1038\/s41598-020-79709-w"},{"key":"10_CR37","doi-asserted-by":"crossref","unstructured":"Wang, L., et al.: QTL fine-mapping of soybean (glycine max l.) leaf type associated traits in two rils populations. BMC Genomics 20(1), 1\u201315 (2019)","DOI":"10.1186\/s12864-019-5610-8"},{"key":"10_CR38","doi-asserted-by":"crossref","unstructured":"Wellstein, C., et al.: Effects of extreme drought on specific leaf area of grassland species: a meta-analysis of experimental studies in temperate and sub-mediterranean systems. Glob. Change Biol. 23(6), 2473\u20132481 (2017)","DOI":"10.1111\/gcb.13662"},{"key":"10_CR39","doi-asserted-by":"crossref","unstructured":"Weraduwage, S.M., et al.: The relationship between leaf area growth and biomass accumulation in arabidopsis thaliana. Front. Plant Sci. 6, 167 (2015)","DOI":"10.3389\/fpls.2015.00167"},{"key":"10_CR40","doi-asserted-by":"crossref","unstructured":"Wright, I.J., et al.: Assessing the generality of global leaf trait relationships. New Phytol. 166(2), 485\u2013496 (2005)","DOI":"10.1111\/j.1469-8137.2005.01349.x"},{"key":"10_CR41","doi-asserted-by":"crossref","unstructured":"Wright, I.J., et al.: The worldwide leaf economics spectrum. Nature 428(6985), 821\u2013827 (2004)","DOI":"10.1038\/nature02403"}],"container-title":["Lecture Notes in Computer Science","Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-45392-2_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:47:45Z","timestamp":1710348465000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-45392-2_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031453915","9783031453922"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-45392-2_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"12 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BRACIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazilian Conference on Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belo Horizonte","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazil","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bracis2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.bracis.dcc.ufmg.br","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"JEMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"242","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"90","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"37% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}