We develop sensors and sensing systems for agricultural and biological systems, e.g. in-situ sensors for soil measurements, sensors for crop disease detection, and sensors for high-throughput phenotyping of crops, etc.
Agricultural IoT utilizes (wireless) sensor networks for real-time monitoring of crops, animals, environmental variables and machines, cloud-based data management systems and machine learning algorithms for smart decision-makings.
Our team develop vision-based systems (RGB, thermal, multispectral, hyperspectral, stereo-vision, etc.) for various aspects of crop and animal production (crop/animal disease, animal behavior, crop yield mapping, etc.)
We develop robotic systems for various operations in agricultural production, e.g. autonomous yield mapping, automated harvesting, automated pollinations, and variable rate applications.