Assessment of Machine Harvested Pecan Yield for Applications to a Pecan Yield Monitor - PowerPoint PPT Presentation

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Assessment of Machine Harvested Pecan Yield for Applications to a Pecan Yield Monitor

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Title: Assessment of Machine Harvested Pecan Yield for Applications to a Pecan Yield Monitor


1
Assessment of Machine Harvested Pecan Yield for
Applications to a Pecan Yield Monitor
  • Glen Rains
  • Dan Thomas
  • Calvin Perry
  • Jeffrey Durrence
  • University of Georgia
  • Biological and Agricultural Engineering Dept.
  • Tifton Campus

2
Objectives
  • Assess the lateral movement of pecans from the
    harvesting operations
  • Determine the effect of foreign material of yield
    measurement
  • Test accuracy of a pecan yield monitor to weigh
    pecans
  • Develop yield efficiency map of high and
    low-producing trees
  • Assign yield to individual trees

3
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4
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5
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6
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7
Pecan Movement
  • Chose 5 trees in 1998 and 7 trees in 1999

N
Windrows
8
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9
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10
Pecan Yield Along Row
11
Nut Yield vs Gross Weight
12
Relative Yield from 12 trees
  • PecanYield .657gross weight
  • R2 .86
  • Pecan Yield 4_cell_yield4.855-17.085
  • R2 .80
  • Pecan Yield (4_cell_gross weight.657)4.855-17.
    085
  • R2 .84

13
Pecan Yield Monitor
  • Based on peanut yield monitor design
  • Weighs pecans in basket
  • Takes yield data 60 times per second, filters and
    stores once per second
  • Data collected on a palmtop computer, and stored
    together with the GPS harvester location

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15
Yield Monitor Error
16
Harvest data and Tree Location
17
Yield Efficiency Map
18
Conclusions
  • Harvesting operations do not move pecans away
    from tree they dropped from for the methods used
    in this case study
  • Foreign material and tree overlap can be
    accounted for to determine yield per tree
  • The particular relationships will change as
    conditions are modified
  • More sophisticated relationships as functions of
    tree size/age and harvesting operations is
    necessary
  • Yield efficiency maps can indicate the relative
    productive level of tree in an orchard
  • An automatic method for assigning tree
    characteristics to the yield data as the grove is
    harvested would reduce burden of data collection
    and analysis
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