As our world population increases and arable land decreases, it becomes vital to improve the productivity of the agricultural land available. Companies like Syngenta strive to provide varieties of their crops to meet this need.
Every year farmers have to make decisions about which soybean seeds to plant given information about different soybean varieties and knowledge about the soil and climate at their respective farms. These annual decisions are critical - after a variety is planted, the decision is irreversible. Unusual weather patterns can have disastrous impacts on crops.
A highly desirable variety may be in short supply and unavailable for farmers. To ensure there is enough seed of the desired varieties for farmers, it is critical to evaluate which variety or varieties are more likely to be chosen by farmers from a growing region.
Using the provided variety, growing region and exogenous datasets, participants are challenged to predict which soybean seed variety or mix of up to five varieties in appropriate proportions is more likely to be chosen by farmers from a growing region.