Computer vision is unlocking new avenues in agricultural technology. Smart cameras and algorithms allow for large-scale crop monitoring without having to manually look at each acre. We can help.
We’ve helped some of the most innovative companies in the agriculture space with their vision models. As cameras and crop surveillance are becoming more commonplace, machine learning solutions can actually teach those cameras to see, allowing you to monitor thousands of acres automatically.
We don’t just train cutting-edge computer vision models, we test them too. We’re experts on human-in-the-loop machine learning and understand how to combine the best of human and machine intelligence to fine-tune your models, making them more accurate, more confident, and more valuable.
The last component of active training is model tuning. We’ll look at your algorithm’s output and either validate when it’s right or correct it when it isn’t. Those judgments can then be fed back into your model to improve its output. This loop is both what Figure Eight was founded on and how machine learning works best in the real world.
If you’re looking to use machine learning in the ag tech space–no matter where you are in the process–we can help. Even if you’re just getting started, we’ll scope your project and make sure you get exactly what you need from your training data.
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