Cranberry ICM
Spatial
Variability in Cranberry, Conference on Precision Agriculture, July
18-22, 1998, St. Paul, MN
Spatial
Detection and Quantification of Phytophthora Root Rot Effects on Cranberry
Yield, Second Int'l Conf. on Geospatial Info. in Ag. and For., Jan.
10-12, 2000, FL
Evaluating
Commercial Cranberry Beds for Variability and Yield using Remote
Sensing Techniques, Second Int'l Conf. on Geospatial Info. in Ag. and
For., Jan. 10-12, 2000, FL
Cranberry
Images - Work in Progress
Rutgers University Blueberry Cranberry Research and Extension Center Web
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CRANBERRY YIELD & DISEASE PREDICTION
Rutgers, the State University of New Jersey
Project Coordinator: Peter Oudemans
Cranberry production
is typically located in low-lying, sandy soils. In New Jersey there
are approximately 3,500 acres in production, primarily within a region
of New Jersey called the Pinelands.
Despite being a high value crop, these acreages are unlikely to expand
significantly due to strict federal regulations prohibiting renovation
and cultivation of wetland areas. Thus growers are looking for alternative
methods to increase their yields.
In North America, cranberry yields vary from 5,000-70,000 lb/acre.
In New Jersey, yields of 18,000 lb/acre are typical. However, variation
within a sinlge bed can be as much as 200-fold. Although components
of yield (flower number, berry size, etc.) have been well researched, the
environmental effects on these factors have not. In particular, high
spatial variations in yield within a sinlge bed have been documented, but
the environmental components leading to this high level of variation have
not. It appears that increases in yield are possible, at least theoretically,
but more research is needed to establish these yield constraints in New
Jersey cranberry culture.
Dr. Peter Oudemans of the Rutgers Blueberry and Cranberry Research Center
in Chatsworth, NJ is leading a project that focuses on the areas of yield
prediction, disease monitoring, mapping, and precision agriculture.
Ultimately an efficient system for mapping and producing field maps for
growers and IPM personnel will be developed to facilitate site-specific
application of cultural practices (i.e. drainage tiles) as well as pesticide
and fertilizer applications.
The use of Global Positioning Systems (GPS), Geographic Information
Systems (GIS), and Remote Sensing (RS), for cranberry, bridges a gap in
the relative scale used in precision agriculture today. Since cranberries
are grown in small parcels of land (5-10 acres), GPS measurements, sampling
methods, and GIS mapping techniques reflect much higher sampling density
and require more accurate methods than those currently used in field crops.
This research should provide some basic methodologies for other high intensity
crops.
Research begun in 1996 utilizing color-infrared aerial photography indicate
that a number of features within cranberry beds can be identified through
spectral analysis of remote sensing data. These include variations in vegetative
cover, irrigation and drainage systems, and areas of beds damaged by insects
and fungal disease. Linking ground based data with the remotely sensed
imagery enabled us to gain further insight into the spatial variation of
factors affecting crop yield and health. The results
from
this study were presented and published at the 4th annual Conference on
Precision Agriculture, July 18-22, 1998 in St. Paul Minnesota and formed
the basis for our current and future projects.
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