Artificial intelligence system for remote sensing

Abstract

A computing system receives remote sensing data for a geographical area. The computing system converts the remote sensing data into a format processable by downstream machine learning models. An object detection model of the downstream machine learning models detects a concentrated animal feeding operation in the remote sensing images. The computing system segments and classifies components in or around the concentrated animal feeding operation using a semantic segmentation model of the downstream machine learning models. The computing system updates outputs of the downstream machine learning models. The outputs include objects detected by the object detection model and the components segmented and classified using the semantic segmentation model. The computing system estimates a potential amount of energy yielded from the geographical area based on the concentrated animal feeding operation and the components on or around the concentrated animal feeding operation.