Precision Agriculture
Farmers are adopting AI to increase crop yields, improve sustainability, and reduce costs. CloudFactory helps AgTech companies around the world develop and scale their AI products to meet farmers’ needs.
Overview
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.
Farming for the Future
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.
- Annotation of remote sensing captured imagery from both drones and satellites
- Large drone based images are annotated by multiple data analysts with up to 2,000 annotations per image
- CloudFactory team performs annotations on multiple crops with different growing seasons in different parts of the world
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.
Francois Lemarchand
Senior Data Scientist
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Recommended Reading
Tired of Data Prep? How to Scale Precision Agriculture Insights with High-Quality Data
Discover safer, faster, lower-cost, and innovative ways of working. We also share what we've learned from working with leading precision agtech companies, including scalable data prep and labeling.
AI in Agriculture: How Scaling Data Labeling Keeps Agronomists in the Field
Image annotation holds great promise for these centuries-old industries that rely heavily on visual data and are ripe for AI innovation.
Image Annotation for Computer Vision
Machine learning is often fueled by image data. In this guide, learn the basics about image annotation, common techniques, and key workforce considerations.
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