Taranis Case Study Google Cloud

"We use drones to take super high-resolution photographs of fields to leaf level, in addition to using satellite and plane imagery," explains Eli Bukchin, Co-founder and CTO at Taranis. "The big problem farmers face is maintaining oversight on hundreds of thousands of acres: up to 40 percent of crops are routinely lost because of insects, crop disease, weeds, and nutrient deficiencies. We have a team of 30 agronomists who work on tagging images to feed AI models that enable us to identify problems before they affect the crops, so farmers can intervene earlier in a more targeted way and use fewer chemicals." As Taranis works all over the world and often in remote locations, it needed to find a way to upload large volumes of image files, along with creating a scalable infrastructure powerful enough to test complex machine learning models. Google Cloud Platform (GCP) along with TensorFlow provided the answer.