We bring together information from all parts of your farm operation to maximize the potential of your crop.

The problem:

Nutrition density, product quality and yield are all important and highly modifiable outcomes in CEA operations​.  They are however dependent on soil, energy, plant nutrition and genetics and overall management decisions.  Growers need to bring together the best combination of soil, energy, plant nutrition, and genetics to maximize the potential of their crop. However, finding the best recipe is time consuming and costly due to the huge number of possible environment, management, and genetics combinations.

While most approaches look at one variable at a time​, Crop Convergence analytics can identify the best combination of growth requirements and management practices needed to maximize nutrition, yield and other desirable traits and prescribe a specific program to meet those objectives.

 The Crop Convergence solution:

Crop yields can increase 5-fold under the best conditions and reduce to 1/5th under poor growing conditions.

We help growers find their optimal combination of genetics, environment, and management without extensive farm trials.

The Crop Convergence advantage:

Our hybrid modeling system combines the strengths of three systems: crop models, ML/AI, and empirical approaches; to create an integrated analysis pipeline.

This unique hybrid modeling approach focuses on operational success, enabling growers while ensuring communications across the business can occur seamlessly.