Abstract: A crop growth modeling system includes a memory configured to store computer-readable instructions. The instructions cause to the system to use a digital twin component configured to create and manage a digital twin of a farm. The instructions cause to the system to use a data input component configured to receive data related to a defined set of land characteristics and environmental attributes for the farm. The instructions cause to the system to use a processing component configured to integrate the received data with the digital twin and to simulate at least one crop growth scenario based on the integrated data. The instructions cause to the system to use a prediction component configured to determine a predicted crop growth rate for the farm based on the simulations conducted by the processing component.

Abstract: Yield analysis techniques are provided herein. The effect of various factors on yield are identified through agronomic analytics applied to many different types of data that can be collected by different farmers using different farming practices in different geographic areas. A yield analysis request for a crop type can be received. Based on aggregated crop data, a yield impact of one or more yield factors can be determined for the crop type. The aggregated crop data can be based on planting data and harvest data for a plurality of farm fields. The aggregated crop data can be determined in part by associating the planting data and harvest data for individual farm fields of the plurality of farm fields. A yield analysis can be provided for the crop type based on the yield impact of the yield factors. Farmers can adjust farming practices to achieve higher yield using the yield analysis.