Evaluating Commercial Cranberry Beds for Variability and Yield Using Remote Sensing Techniques

Peter V. Oudemans and Larisa Pozdnykova
Rutgers Blueberry & Cranberry Research Center,Chatsworth, NJ
Phone (609)-726-1590 x 20
E-mail (oudemans@aesop.rutgers.edu)

Marilyn G. Hughes
Rutgers Cooperative Extension & Center for Remote Sensing
Phone (732-932-1582)
E-mail (mghughes@crssa.rutgers.edu)

Image Source: Ocean Spray Cranberries, Inc.
CIR-aerial photography 1:12000, May 21, 1999

aerial photo of cranberry fields


Cranberry growers are using new technologies to decrease the impact of farming on the wetland environment, analyze crop health, and maximize and model cranberry (Vaccinium macrocarpon Ait.) yield. Extensive field sampling has been used in the past as a means of estimating potential bed yields; however, problems have been encountered due to high intra-bed variability. Color-IR aerial photography available since 1987 (Ocean Spray Cooperative, Inc.) and historical records of bed yields are used to identify and analyze two common diseases found in cranberry, Phytophthora Root Rot (PRR) and Fairy Ring (FR), and their effect on bed yield. Imagery was georeferenced and imported into a GIS database for analysis. Results indicate that PRR occurs over larger areas that FR and causes more significant yield losses. Treatment appears to provide long term control and significant positive economic impact for the grower. FR appears not to be an economically important disease, and the cost of treatment exceeds the impact on crop productivity.

Link to the full paper.

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