TreeSense Wiki

Your browser does not support the video tag. In the time-lapse video, we can clearly see how a lemon tree wilts due to lack of water and then recovers after being watered. The time-lapse is not only beautiful to watch, but also serves as part of a series of experiments. The tree is equipped with sensors. This allows us to observe the relationship between what we […]

Have you ever wondered: How closely am I related to the Norway maple? Follow the two colored lines (human: purple, Norway maple: red) on the interactive tree and find out. Oak, linden, elm, and maple are just a few of the tree species we’re familiar with in our daily lives. But how exactly are these trees actually […]

The city of Schorndorf aims to make the maintenance of its urban trees increasingly digital and data-driven. In the future, technologies such as GPS-assisted route planning and AI-based software are expected to help organize workflows more efficiently and allocate resources more effectively. The use of TreeSense sensors to monitor water requirements and tree health marks the first step in this direction. Project Overview As part of the […]

The FDR sensor is a device used to determine the volumetric water content in the soil. FDR stands for Frequency Domain Reflectometry. The sensor measures the soil’s ability to store electrical charge and uses this to determine the water content. What is charge storage capacity? Capacitors are used to store electrical charge. A capacitor consists of two conductors […]

In this video, you'll get a quick overview of where to find everything—so you can get right to work without having to search for things. You'll learn about the dashboard, tree inventory, map, sensors, tasks, and data analysis.

The dashboard is your control center. You’ll learn how to interpret the most important tiles and jump directly from there to the tree inventory, sensor data, or tasks. The dashboard helps you quickly grasp relevant metrics, identify critical issues, and move directly to the next step.