"In order to make the optimal decisions in any given situation an agricultural business owner and his agronomist consultant have to consider multiple information sources which are currently spread out through different access points or may not even be available at the time they are needed.
Our solution is a platform where a wide range of tools are used to represent up to date detailed insights to enhance decision making. Supplementary prospective information will further instruct resolutions and reinforce future-proof planning.
The platform will prove more inexpensive than other satellite and field sensor solutions through an annual pricing scheme and lower entry costs, especially convenient for smaller businesses. With the help of AI and extensive data gathering we intend to provide comprehensive field information metrics and, notably, key parameter forecasting. Our end goal is to lessen the need for on-site agronomists, we want our platform to deliver actionable insights and treatment recommendations - we are building a digital agronomist.
Our focus is on providing the following two main tools: Soil Parameters representation and prediction, and Aerial Field View. Soil parameters are an important decision-making factor for the correct and time-sensitive decision making process of the agronomist, thus having past and current data readily available for display is essential. We are using satellite data to gather and display Soil Parameters Data. To complement that, we are implementing spatial and Time Series Data Analytics using Machine Learning to enable Soil Parameters forecasting.
Additionally, field observation is an important activity for any agricultural business. We use low-resolution, free for commercial use, publicly available satellite images and Artificial Intelligence based image-to-image domain translation models to achieve high quality, actionable, and near-real time representations to make decision-making faster and less reliant on external factors and time delays."
Contact: ge79fax@mytum.de
