The issue
Seed companies products are too often planted in an environment where performance is variable, often less than what is wanted or possible. As a result, farmers do not realize the possible yield and profit levels and the reputation of the seed company, and their products is reduced and sales are less than what is possible.
Typical approach
Some companies provide technology that will recommend a seed or other input for a field. Whether the technology is applied often depends on the agronomist to recommend products and rates. agronomists are often heavily incentivised to recommend specific products which impacts their decisions.
The solution
Reverse the process. Rather than starting with the field and then recommending a product; select the fields where product performance can be maximized and focus sales there
Implement
Applies data and science to identify the linkages between the growing conditions such as field conditions, practices, inputs, timing, and storage with outcomes including yield and profitability
The linkages between growing conditions and outcomes are captured in a model that is used to:
Select fields with the highest probability of growing crops with the desired outcomes
Predict, Score, analyze performance
Identify field specific action to improve outcomes
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