With 6th Grain’s Optimal Growth Curve, users monitor the progress of crop development as the crop canopy develops and can compare field progress to the Optimal Growth Curve of the best fields in the region.
Larger commercial growers, crop input providers, and other clients with a large number of fields face a mission-critical problem: their users do not want to, or cannot, input field data.
6th Grain created Optimal Growth Curve to solve this user problem. Thanks to our integration of Deep Learning into the Curve, users have access to the same great tools provided by our FieldFocus crop health and productivity solution, with the game-changing benefit of requiring minimal user input.
In this example, users can track the Growth Curve of their field crop as it compares to the Optimal Growth Curve Band. Field 1 Soybean’s Optimal Growth Curve stays within the Growth Curve Band, resulting in an Actual Productivity that closely matches the Simulated Productivity Index.
In this example, the field crop Growth Curve drops below the Optimal Growth Curve Band, resulting in a lower Simulated Productivity Index. Users can use this warning to effectively scout onsite for issues causing the decrease in crop Growth Curve.
Estimates in-season variation of both cropped area and production.
Monitors field biomass and canopy closure.
Increases and reinforces validity and accuracy of Optimal Growth Curve.
Updates every 3-5 days throughout the season, thanks to spatially explicit time series analysis.
Compares user field with best performing fields in the field region.
6G Index time series lets users compare their field Optimal Growth Curve with the current year and last year’s time series.
Provides precipitation observations along the Optimal Growth Curve, including 7 day forecast and year selection.
Provides a current year yield estimate based on biomass-yield relationships.
Colorized ranking of fields according to if they are in the optimal band or below the optimal band, coupled with automated reports reports and in‑app alerts.