Farm Digital Twins
As a grower, you need to bring together the best combination of soil, energy, plant nutrition, and genetics to maximize the potential of your crop.
Crop yields can increase fivefold under the best conditions and decrease to one-fifth under poor growing conditions.
Our digital twin system helps growers find their optimal combination of genetics, environment, and management without extensive farm trials.
What is a digital twin?
A digital twin is an active virtual representation of a physical asset, process, system, or environment that mirrors its-world equivalent in both appearance and behavior. Each digital twin gathers real-world data to simulate the on-farm environment and management, allowing for predictions about performance and potential challenges that the actual farm may encounter.
Why build a digital twin?
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Multiple environmental conditions affect the crop growth process through complex Genotype by Environment by Management (GxExM) interactions.
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A digital twin can integrate information about light, temperature, humidity, CO2, nutrients, pH, and other key factors into a single analytics solution.
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It is prohibitively expensive and time-consuming to explore all possible combinations of these conditions throughout the growth cycle, but a digital twin can act as a virtual trialing site.
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Domain knowledge from operations research, systems engineering, ML/AI, and plant physiology and genetics can be integrated into a single analytics solution.
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A digital twin reflects the unique growing system, varieties, data availability and strategic objectives of each farm, making it the ideal backbone for Crop Convergence decision-tool suite.