Software for the Agriculture Industry
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CAMO software products, like the Unscrambler®, have been used in the Agriculture sector to analyze different aspects such as the effect of manure on soil and also the segmentation of consumers based on the tastes of produce grown in different locations.
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Case Studies
A leading research institute, wished to research customer preferences with regard to 17 tomato varieties. Consumer preferences for various aspects of the taste and sensory aspects of the tomato varieties were recorded.
Principal Components Analysis (PCA) was performed on the data and yielded three definite segments from the varieties studied. A 3-way PLS regression model was constructed to identify positive and negative drivers for the defined segments. For each of the 17 tomato varieties, the attributes and the sensory panel profiles constituted the two variable sets, or predictors X, and the average likings per defined segments were used as response variables Y.
The 3-way PLS regression model indicated that sweetness and flavor were important positive attributes and interior firmness and mealiness negative attributes for panelists in all three segments. Positive drivers (such as sweetness and flavor) and negative drivers (such as mealiness and lack of firmness) were also identified for each segment.
In all three segments, the sample mean and standard deviation were computed for all usage and attitudinal questions. Key features were identified when a mean value for a question had a small variance within its segment and at the same time differed significantly from the other two segments.
