It has become possible to observe the growing process from satellites daily at a global scale. Based on it we can identify and share agriculture-specific signals (insights) like - presence of farming activity, presence of irrigation systems, crop classification and productivity assessment. A pipeline starts with a set of images specifically designed for daily monitoring the growth of commodity crops: corn, soybean, rice and wheat. To process this data we use our processing and delivery system with ML (boosting) used for understanding vegetation patterns and AI for scaling the models on other climate zones.
My name is Alex and I love to working with satellite images at scale. It's really cool to enable access to huge dataset of global observation that helps to know how the World looks like and changing.
