The latest update to the Copilot program introduces several significant improvements, building on user feedback and addressing the challenges faced by growers in achieving precise and consistent irrigation management. These updates focus on enhancing the reliability of Copilot and improving its overall functionality to better meet the needs of users.
In our most recent Growlink Webinar: Summer Copilot Updates, we took a deep dive into these updates. If you missed it then you can re-watch the whole event here or continue reading a quick synopsis on each of these updates.
Growlink’s original Crop Steering Program relied on sensor-triggered irrigation events, but this approach revealed several limitations, including dependency on real-time data accuracy, potential overwatering due to delayed sensor feedback, and inconsistency in predictable valve activation. In response, Copilot was redesigned as a timer-based program, offering more predictability and reliability in irrigation schedules.
However, recognizing the benefits of real time sensor-triggered events, the latest update reintroduces sensor-trigger integrations in a controlled manner. A notable addition is the custom trigger point for the overnight failsafe function, allowing users to define a minimum moisture level, or “floor,” ensuring that irrigation is triggered only when absolutely necessary. This provides greater control, especially in unique scenarios where standard calculations might not be sufficient.
Another key feature is the Field Capacity Lock, which enables users to set an artificial ceiling on substrate moisture, facilitating effective EC stacking without risking runoff. This function helps in maintaining desired moisture levels while allowing for incremental adjustments to be made over a few days. An optional sensor trigger has been included for added security, automatically shutting off valves once the targeted volumetric water content (VWC) is reached. This ensures the system fine-tunes irrigation without overshooting targets.
To address the issue of sporadic extreme suggestions, which resulted from the variability in substrate data, new limits have been placed on daily adjustments. The program now makes gradual changes, preventing drastic swings in irrigation volume, thus avoiding the negative feedback loops that occurred. This ensures a smoother transition in irrigation settings, even when data inconsistencies arise.
Additionally, improvements in how Copilot analyzes dry-back data over time have led to more accurate predictions of VWC, optimizing irrigation start and end times for better overall efficiency.
A new tool for valve overlap detection has been introduced to assist users in managing irrigation schedules, particularly in scenarios where pumps cannot support multiple simultaneous feeds. This feature alerts users when multiple valves are scheduled to operate concurrently, allowing them to make necessary adjustments to avoid flow rate issues.
Lastly, Copilot’s dashboard now includes enhanced graphical options for better data visualization. Users can customize how data is displayed, choose color palettes based on sensor type or distinct colors, and set custom Y-axis ranges. These improvements help in comparing data more effectively, offering clearer insights into environmental conditions and irrigation performance.
These updates to the Copilot program significantly enhance its functionality, making it a more reliable and versatile tool for growers. As the program continues to evolve, users can expect even more features aimed at simplifying and improving their irrigation practices.