{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T05:32:24Z","timestamp":1772775144951,"version":"3.50.1"},"reference-count":35,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,4,7]],"date-time":"2021-04-07T00:00:00Z","timestamp":1617753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Florida Strawberry Research and Education Foundation","award":["PRO00020062"],"award-info":[{"award-number":["PRO00020062"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Strawberries (Fragaria \u00d7 ananassa Duch.) are highly perishable fruit. Timely prediction of yield is crucial for labor management and marketing decision-making. This study demonstrates the use of high-resolution ground-based imagery, in addition to previous yield and weather information, for yield prediction throughout the season at different intervals (3\u20134 days, 1 week, and 3 weeks pre-harvest). Flower and fruit counts, yield, and high-resolution imagery data were collected 31 times for two cultivars (\u2018Florida Radiance\u2019 and \u2018Florida Beauty\u2019) throughout the growing season. Orthorectified mosaics and digital surface models were created to extract canopy size variables (canopy area, average canopy height, canopy height standard deviation, and canopy volume) and visually count flower and fruit number. Data collected at the plot level (6 plots per cultivar, 24 plants per plot) were used to develop prediction models. Using image-based counts and canopy variables, flower and fruit counts were predicted with percentage prediction errors of 26.3% and 25.7%, respectively. Furthermore, by adding image-derived variables to the models, the accuracy of predicting out-of-sample yields at different time intervals was increased by 10\u201329% compared to those models without image-derived variables. These results suggest that close-range high-resolution images can contribute to yield prediction and could assist the industry with decision making by changing growers\u2019 prediction practices.<\/jats:p>","DOI":"10.3390\/ijgi10040239","type":"journal-article","created":{"date-parts":[[2021,4,7]],"date-time":"2021-04-07T11:31:59Z","timestamp":1617795119000},"page":"239","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Improving Strawberry Yield Prediction by Integrating Ground-Based Canopy Images in Modeling Approaches"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6182-4017","authenticated-orcid":false,"given":"Amr","family":"Abd-Elrahman","sequence":"first","affiliation":[{"name":"School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL 32611, USA"},{"name":"Gulf Coast Research and Education Center, University of Florida, Wimauma, FL 33598, USA"}]},{"given":"Feng","family":"Wu","sequence":"additional","affiliation":[{"name":"Gulf Coast Research and Education Center, University of Florida, Wimauma, FL 33598, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6820-0821","authenticated-orcid":false,"given":"Shinsuke","family":"Agehara","sequence":"additional","affiliation":[{"name":"Gulf Coast Research and Education Center, University of Florida, Wimauma, FL 33598, USA"},{"name":"Department of Horticulture, University of Florida, Gainesville, FL 32611, USA"}]},{"given":"Katie","family":"Britt","sequence":"additional","affiliation":[{"name":"School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL 32611, USA"},{"name":"Gulf Coast Research and Education Center, University of Florida, Wimauma, FL 33598, USA"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"748","DOI":"10.1111\/j.1365-2621.1999.tb15124.x","article-title":"Quality of Strawberries Packed with Perforated Polypropylene","volume":"64","author":"Sanz","year":"1999","journal-title":"J. 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