AgroScout’s machine-learning algorithms use Oracle Cloud to analyze drone-captured images of farm fields. By knowing which pests and diseases to treat, growers can save money, improve yields, and feed more people.
Rising populations means 2 billion more people will need to be fed in the coming decades. Meantime, farmers are looking to use fewer pesticides because of regulations, cost, and environmental concerns.
Startup AgroScout aims to solve those problems by giving farmers “autonomous scouting” technology to spot pests and diseases sooner, and thus apply pesticides only where and when they’re needed. A drone flies over a farm field capturing images of crops far more quickly and thoroughly than a human could. Machine-learning algorithms analyze the collected image data, telling farmers when and where to spray.
We’re on a journey that’s about food security.Simcha Shore, CEO and Founder, AgroScout
Oracle Cloud Infrastructure
AgroScout developers can iterate new software features faster since moving to Oracle Cloud. Deployments of new versions that used to take 24 hours now happen in minutes.