Image annotation holds great promise for these centuries-old industries that rely heavily on visual data and are ripe for AI innovation.
Technology holds great promise for the centuries-old agriculture industry when it comes to solving the many challenges and inefficiencies in the global production and distribution of food. The application of AI can increase crop yields, improve sustainability, reduce input costs, and much more. Precision agriculture solutions have the ability to strengthen economic, nutritional, and environmental outcomes across the world.
Hummingbird Technologies is a crop analytics company focused on helping farmers increase their yields, use the optimal amount of inputs, and farm more sustainably. The CloudFactory team annotates where crops are in drone images so that a model can be trained to identify where crops and weeds are in fields.
One of our key challenges was tagging all the data we captured and making sense of all it so we could build our models. As mentioned previously, it is highly domain specific knowledge. We had been doing the work in-house but it is very, very time-consuming. The question was how could we teach annotators how to do this without them being agronomists. What we discovered is that you need to iterate and have a continuous exchange of communication, which is something we can do with the CloudFactory team.
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