AUTOMATED, LOW-COST YIELD MAPPING OF WILD BLUEBERRY FRUIT

作者：Zaman Q U^*; Swain K C; Schumann A W; Percival D C

来源：Applied Engineering in Agriculture, 2010, 26(2): 225-232.

• Precision agriculture
• DGPS
• GIS
• Digital photography
• Yield map

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.

• 出版日期2010-3