Machine Learning Crop Classification

We combine agriculture and sustainability subject matter expertise with computational methods to provide fully customizable crop- and plant-detection capabilities. Our machine learning algorithm for crop classification (a.k.a. Hamilton AI) uses neural networks to detect a broad range of plants, which makes it suitable for monitoring and identifying species at a large-scale. We provide high success detection ratios that might be very specific to your geographic region and also take into consideration all other unique requirements needed for the success of your business.

An early-stage crops-classification example from a remote area in Indonesia.