Automated, Low-Cost Yield Mapping of Wild Blueberry Fruit
Date
2010-03
Authors
Zaman, Q. U.
Swain, K. C.
Schumann, A. W.
Percival, D. C.
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Abstract
The presence of weeds, bare spots, and variation in fruit yield within wild blueberry
fields emphasizes the need for yield mapping for site-specific application of
agrochemicals. An automated yield monitoring system (AYMS) consisting of a digital color
camera, differential global positioning system, custom software, and a ruggedized laptop
computer was developed and mounted on a specially designed Farm Motorized Vehicle (FMV)
for real-time fruit yield mapping. Two wild blueberry fields were selected in central
Nova Scotia to evaluate the performance of the AYMS. Calibration was carried out at 38
randomly selected data points, 19 in each field. The ripe fruit was hand-harvested out
of a 0.5- x 0.5-m quadrant at each selected point and camera images were also taken from
the same points to calculate the blue pixel ratio (fraction of blue pixels in the
image). Linear regression was used to calibrate the actual fruit yield with percentage
blue pixels. Real-time yield mapping was carried out with AYMS. Custom software was
developed to acquire and process the images in real-tune, and store the blue pixel
ratio. The estimated yield per image along with geo-referenced coordinates was imported
into ArcView 3.2 GIS software for mapping. A linear regression model through the origin
(y = bx) was highly significant in field 1 (R(2) = 0.90; P < 0.001) and field 2
(R(2) = 0.97; P < 0.001). The correlation between actual and predicted fruit
yield (validation, using the equation from field 2) in field 1(R(2) = 0.95; P <
0.001; RMSE = 3.29 Mg/ha) and field 2 (validation, using the equation from field 1)
(R(2) = 0.97; P < 0.001; RMSE = 2.69 Mg/ha) was also highly significant. The best
results were obtained by using site-specific calibration of <20 points for every
field, using a representative range of fruit yield. Maps showed substantial variability
in fruit yield in both fields. The bare spots coincided with no or low yielding areas in
the fields. The yield maps could be used for site-specific fertilization in wild
blueberry fields.
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Citation
Zaman, Q. U., K. C. Swain, A. W. Schumann, and D. C. Percival. 2010. "Automated, Low-Cost Yield Mapping of Wild Blueberry Fruit." Applied Engineering in Agriculture 26(2): 225-232.