{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T16:05:37Z","timestamp":1762272337216,"version":"3.37.3"},"reference-count":23,"publisher":"Wiley","license":[{"start":{"date-parts":[[2018,12,16]],"date-time":"2018-12-16T00:00:00Z","timestamp":1544918400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"University of La Rioja","award":["536\/2014"],"award-info":[{"award-number":["536\/2014"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2018,12,16]]},"abstract":"<jats:p>This paper describes a new methodology for noninvasive, objective, and automated assessment of yield in vineyards using image analysis and Boolean model. Image analysis, as an inexpensive and noninvasive procedure, has been studied for this purpose, but the effect of occlusions from the cluster or other organs of the vine has an impact that diminishes the quality of the results. To reduce the influence of the occlusions in the estimation, the number of berries was assessed using the Boolean model. To evaluate the methodology, three different datasets were studied: cluster images, manually acquired vine images, and vine images captured on-the-go using a quad. The proposed algorithm estimated the number of berries in cluster images with a root mean square error (RMSE) of 20 and a coefficient of determination (<jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>) of 0.80. Vine images manually taken were evaluated, providing 310 grams of mean error and<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:msup><mml:mrow><mml:mi>R<\/mml:mi><\/mml:mrow><mml:mrow><mml:mn>2<\/mml:mn><\/mml:mrow><\/mml:msup><mml:mo>=<\/mml:mo><mml:mn>0.81<\/mml:mn><\/mml:math>. Finally, images captured using a quad equipped with artificial light and automatic camera triggering were also analysed. The estimation obtained applying the Boolean model had 610 grams of mean error per segment (three vines) and<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:msup><mml:mrow><mml:mi>R<\/mml:mi><\/mml:mrow><mml:mrow><mml:mn>2<\/mml:mn><\/mml:mrow><\/mml:msup><mml:mo>=<\/mml:mo><mml:mn>0.78<\/mml:mn><\/mml:math>. The reliability against occlusions and segmentation errors of the Boolean model makes it ideal for vineyard yield estimation. Its application greatly improved the results when compared to a simpler estimator based on the relationship between cluster area and weight.<\/jats:p>","DOI":"10.1155\/2018\/9634752","type":"journal-article","created":{"date-parts":[[2018,12,16]],"date-time":"2018-12-16T23:31:53Z","timestamp":1545003113000},"page":"1-14","source":"Crossref","is-referenced-by-count":27,"title":["On-the-Go Grapevine Yield Estimation Using Image Analysis and Boolean Model"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9313-5104","authenticated-orcid":true,"given":"Borja","family":"Millan","sequence":"first","affiliation":[{"name":"Instituto de Ciencias de la Vid y del Vino (University of La Rioja, CSIC, Gobierno de La Rioja), Finca La Grajera, 26007 Logro\u00f1o, La Rioja, Spain"},{"name":"MINES ParisTech, PSL Research University, CMM-Center of Mathematical Morphology, 77300 Fontainebleau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Santiago","family":"Velasco-Forero","sequence":"additional","affiliation":[{"name":"MINES ParisTech, PSL Research University, CMM-Center of Mathematical Morphology, 77300 Fontainebleau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arturo","family":"Aquino","sequence":"additional","affiliation":[{"name":"Instituto de Ciencias de la Vid y del Vino (University of La Rioja, CSIC, Gobierno de La Rioja), Finca La Grajera, 26007 Logro\u00f1o, La Rioja, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6639-8723","authenticated-orcid":true,"given":"Javier","family":"Tardaguila","sequence":"additional","affiliation":[{"name":"Instituto de Ciencias de la Vid y del Vino (University of La Rioja, CSIC, Gobierno de La Rioja), Finca La Grajera, 26007 Logro\u00f1o, La Rioja, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.5344\/ajev.2015.15037"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.3390\/s16122009"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1111\/ajgw.12243"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.3390\/s150304823"},{"issue":"4","key":"5","doi-asserted-by":"crossref","first-page":"384","DOI":"10.5344\/ajev.1992.43.4.384","volume":"43","year":"1992","journal-title":"American Journal of Enology and Viticulture"},{"year":"2010","key":"7"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1002\/jsfa.7797"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1002\/jsfa.6819"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.3390\/s121216988"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1111\/j.1755-0238.2004.tb00022.x"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2014.10.003"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21541"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.3390\/s150408284"},{"year":"1975","key":"18"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1016\/0146-664X(80)90006-4"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008942325749"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1128\/AEM.02233-10"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12110-4_30"},{"year":"1982","key":"23"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-05088-0"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1007\/BF02834632"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1117\/1.1594727"},{"year":"1976","key":"28"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2018\/9634752.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2018\/9634752.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2018\/9634752.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T06:13:48Z","timestamp":1694499228000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/js\/2018\/9634752\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,16]]},"references-count":23,"alternative-id":["9634752","9634752"],"URL":"https:\/\/doi.org\/10.1155\/2018\/9634752","relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"type":"print","value":"1687-725X"},{"type":"electronic","value":"1687-7268"}],"subject":[],"published":{"date-parts":[[2018,12,16]]}}}