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A Fruit Yield Prediction Method Using Blossom Detection

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2018 ASABE Annual International Meeting  1801542.(doi:10.13031/aim.201801542)
Authors:   B Braun, D .M Bulanon, J Colwell, A Stutz, J. Stutz, C Nogales, T Hestand, P Verhage, T. Tracht
Keywords:   Blossom, fruit, image processing, machine vision, yield


One of the tools for precision agriculture is crop yield prediction. In this paper, a fruit yield prediction method for peaches and apples early in the season is presented. Images of the peach and apple trees during the blossom period were acquired using a color camera from two sides, east and west. An image processing algorithm to detect and count the blossoms was developed. A fruit yield prediction equation that uses the blossoms counted from the east and west images was also derived. The number of fruit per tree was estimated using the fruit yield prediction equation. The estimated number of fruit and the actual number of fruit per tree had a correlation coefficient of 0.77. This means that this method has the potential to estimate the fruit number per tree and could also aid in fruit crop production through a orchard blossom map.

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