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Evaluation of apple flowering intensity using color image processing for tree specific chemical thinning

Published online by Cambridge University Press:  01 June 2017

O. Krikeb ,
V. Alchanatis ,
O. Crane  and
A. Naor
O. Krikeb
Affiliation:
Institute of Agricultural Engineering, Agricultural Research Organization, the Volcani Center, Bet Dagan, Israel Faculty of Agriculture, The Hebrew University in Jerusalem, Rehovot, Israel
V. Alchanatis*
Affiliation:
Faculty of Agriculture, The Hebrew University in Jerusalem, Rehovot, Israel
O. Crane
Affiliation:
Plant Sciences, North R&D, Kiriat Shmona, Israel
A. Naor
Affiliation:
Soil Science, North R&D, Kiriat Shmona, Israel
*
†E-mail: victor@volcani.agri.gov.il
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Abstract

Chemical thinning in apple orchards is a commonly used technique for improving yield. The objective of this work was to quantify bloom intensity of individual trees using color images, and estimate the time for the peak of the bloom. Image acquisition campaigns were conducted in an apple orchard with Golden Delicious variety during two growing seasons. Image processing algorithms were developed to detect flowers. The correlation between the manual and automatic estimation of bloom intensity at the day of the peak was 0.90 and 0.97 for 2014 and 2015 respectively. Based on the above relationships, maps of blooming intensity were derived and its variability was established.

Keywords

yield qualitybloomingimage thresholding
Type
Precision Horticulture and Viticulture
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 466 - 470
Copyright
© The Animal Consortium 2017 

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References

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