a a rt i S
For the l-year, one-state (1978 N.D.) aggregation, no glaring deficiencies
were noted. The attractive characteristics of low processing cost,
objectivity, repeatability, modularity, and adaptability packaged within an
automated framework make the outlook for meaningful advancements very
optimi stic.
B. SUMMER CROPS,.CORN, AND SOYBEANS EXPERIMENT?
This experiment in summer crops, corn and soybeans proportion
estimation technology represents our first attempt to take advantage of an
improved systems approach to research. It allowed the effective utilization
of the experimental environment for more iterations of development, testing,
and feedback to research than heretofore achievable in a given time (such as
6 months).
Figure 6 shows our accuracy results (in terms of mean error and
90 percent confidence limits) for the previously described data for crop years
1978 and 1979. i
The following are some additional observations:
1. There is a very accurate estimate of crop group (summer crops) with
relative mean error (RME) less than 2 percent in both years.
2. For crop type (corn and soybeans) there was a significant bias (corn RME
15 percent, soybeans RME -19 percent) in one of the years (1978).
3. The crop type bias for the other year (1979) was not significant (corn RME
6 percent, soybeans RME 3 percent)
4. The direction of the bias for crop type appears to be consistent between
years (corn tends to be overestimated, soybeans tend to be underestimated.
5. The standard deviations for all estimates are relatively consistent and
comparable to those achieved in previous "best" spring small grains
technologies.
6. Compared to a previous procedure for the 1978 crop years, CS-1 exhibited a
significantly lower bias in estimating crop group (summer crop RME -1.5 vs.
-16.4 percent) with lower standard deviations for both crop groups and crop
types.
In terms of the other preformance criteria the following was
observed:
1. Timeliness - processing to crop type is achievable after corn tasseling,
which is 30-45 days prior to harvest. This is about the middle of August in
the U.S. Corn Belt.
2. The rate of processability of allocated segments with the CS-1 technology
were quite high, typically 50 percent to 75 percent.
Quick identification of subcomponent error contributors was
achieved. These specific results have led to the earlier-than-planned
development of a more-automated summer crop, corn, and soybeans proportion
estimation procedure. The process of making the developmental modifications
for a new version (CS-1A), conducting a verification test, then designing and
implementing a semiautomatic version (CS-1B) has already been accomplished.
Results of early verification testing over a sample (10 segments) of the
1978-79 data set show excellent summer crop accuracy? and corn and soybeans
accuracy of about 10 percent RME and standard deviations of 4 to 6 percent.
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