Digital Twin

Digital Twin

The Digital Twin is a smart simulator that digitizes your specific growing facilities with your specific crop. It is programmed to provide real-time insight into your growing environment beyond what physical sensors can measure.

The digital twin uses physics-informed machine learning to compute how climate variables and crop growth variables will interact. This makes the invisible crop growth metrics, such as transpiration and photosynthetic rate, visible for growers to analyze as Smart Sensors.

The Digital Twin enables growers to:

1️⃣ Gain more data and insight without installing additional hardware

2️⃣ Visualize how different growing strategies affect predicted crop growth

3️⃣ Effectively plan labor around an accurate harvest prediction

The digital twin is a stepping stone that helps power our final product, focused on autonomous climate control: the λutopilot