Influence of Soil Properties and Topographic Features on Wild Blueberry Fruit Yield

2016 ◽  
Vol 32 (4) ◽  
pp. 379-388 ◽  
Keyword(s):  
Soil Properties ◽  
Fruit Yield ◽  
Topographic Features ◽  
Wild Blueberry

Estimation of Wild Blueberry Fruit Yield Using Digital Color Photography

2008 ◽  
Vol 51 (5) ◽  
pp. 1539-1544 ◽  
Author(s):  
Q. U. Zaman ◽  
A. W. Schumann ◽  
D. C. Percival ◽  
R. J. Gordon
Keyword(s):  
Fruit Yield ◽  
Color Photography ◽  
Wild Blueberry

Influence of Wild Blueberry Fruit Yield, Plant Height, and Ground Slope on Picking Performance of a Mechanical Harvester: Basis for Automation

2017 ◽  
Vol 33 (5) ◽  
pp. 655-666
Author(s):  
Aitazaz Ahsan Farooque ◽  
Qamar Uz Zaman ◽  
Travis Esau ◽  
Young Ki Chang ◽  
Arnold Walter Schumann ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Real Time ◽  
Plant Height ◽  
Fruit Yield ◽  
Operating Parameters ◽  
Profit Margins ◽  
Ground Speed ◽  
Ground Slope ◽  
Head Height ◽  
Wild Blueberry

Abstract. Spatial variability in fruit losses in relation to fruit yield, plant height, and ground slope can help to automate the wild blueberry harvester to improve picking performance. Currently, harvester operators adjust harvester’s head height, ground speed, and revolutions per minute (rpm) manually. This is not only laborious but also stressful for operators, as they encounter spatial variability during harvesting. The goal of this work was to identify the automation potential of the harvester to improve harvestable yield and reduce operator’s stress, keeping in view the spatial variability. Two fields were selected and test plots were constructed to examine the performance of the harvester in five zones of plant height, fruit yield, and ground slope. Fruit yield plant height and ground slope were recorded from each plot manually to examine their impact on total fruit loss. Keywords: Automation, Fruit losses, Spatial variability, Wild blueberry, Zonal analysis.Results confirmed significant variability in fruit yield, plant height, and ground slope. Fruit losses were significantly influenced by the spatial variations. Fruit losses increased with an increase in fruit yield and ground slope during mechanical harvesting. The picking performance of the blueberry harvester was significantly lower in short and very tall plants within selected fields. The dependence of fruit losses on fruit yield, plant height, and ground slope emphasize the need for real-time adjustments in machine operating parameters to improve berry recovery. Based on the results, it is concluded that there is a significant advantage of harvester’s automation to increase profit margins for growers with no additional cost. Keywords: Automation, Fruit losses, Spatial variability, Wild blueberry, Zonal analysis.

ESTIMATION OF WILD BLUEBERRY FRUIT YIELD USING DIGITAL COLOR PHOTOGRAPHY

2009 ◽  
pp. 57-66
Author(s):  
Q.U. Zaman ◽  
D.C. Percival ◽  
R.J. Gordon ◽  
A.W. Schumann
Keyword(s):  
Fruit Yield ◽  
Color Photography ◽  
Wild Blueberry

Computer vision system for wild blueberry fruit yield mapping

2010 ◽  
Vol 106 (4) ◽  
pp. 389-394 ◽  
Author(s):  
Kishore C. Swain ◽  
Qamar U. Zaman ◽  
Arnold W. Schumann ◽  
David C. Percival ◽  
Dionysis D. Bochtis
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Fruit Yield ◽  
Computer Vision System ◽  
Yield Mapping ◽  
Wild Blueberry

Response of Wild Blueberry Yield to Spatial Variability of Soil Properties

Soil Science ◽  
2012 ◽  
Vol 177 (1) ◽  
pp. 56-68 ◽  
Author(s):  
Aitazaz A. Farooque ◽  
Qamar U. Zaman ◽  
Arnold W. Schumann ◽  
Ali Madani ◽  
David C. Percival
Keyword(s):  
Spatial Variability ◽  
Soil Properties ◽  
Wild Blueberry
Sign in / Sign up

Export Citation Format

Share Document