Overyield is not currently optimized for present-state data collection, but can be used as a tool to streamline designing and economic modeling of in-field and greenhouse-based experiments.

The below example maps out a variety trial for drought tolerance in Overyield: An experimental block is sub-divided into plots, populated with rows of trees representing specific cultivars.

Operations may need to occur at the levels of block, plot, and cultivar, which can be modeled by creating crop templates and sections for each level of management.
​

For example, a separate section has been created for block level operations, which may represent interventions applied homogenously to all plots (e.g. trial setup, scouting, irrigation installation, fertilization, etc.).

A Block Ops Crop Template populated with these interventions is then applied to this section.

Similarly, separate sections and crop templates can be created for plot-level management. The treatment in this example — drought stress — occurs at the plot level at varying rates, which may be accounted for in a plot-level template, while cultivar level actions such as selection, harvesting, and collecting biomass can be added to a cultivar specific crop template.