Innovative Techniques for Agricultural Monitoring: Combining Technology and Biology

Innovative Techniques for Agricultural Monitoring: Combining Technology and Biology

m

May 8, 2023

Department of Remote Sensing at the University of Würzburg began our first fieldwork during the stunning oilseed rape flowering season. We are using cutting-edge technology to revolutionise the way we monitor crops.
In collaboration with biologists, our team uses lidar and multispectral drones to calculate crop yields and classify flower covers of oilseed rape. We can make informed decisions about fertilisation, irrigation, and pest control by correlating our results with in-situ measurements of several flowers and pollinators. This research is essential for promoting agricultural sustainability and minimising our impact on the environment.
Join us on this exciting journey towards a more sustainable future for agriculture. We eagerly anticipate sharing our results and promoting open-access principles to ensure our findings reach as many people as possible!

follow us and share it on:

you may also like:

A Thank You for a Remarkable 2025 🌍

A Thank You for a Remarkable 2025 🌍

As 2025 draws to a close, we at the Earth Observation Research Cluster (EORC) would like to take a moment to reflect on an inspiring and productive year—and to say thank you to everyone who made it possible - from EORC staff, EAGLE student to our collaborators. This...

Remote sensing insights into biogas flowering mixtures

Remote sensing insights into biogas flowering mixtures

Perennial wildflower mixtures are gaining importance as an alternative to maize in biogas production. As highlighted in the praxis-agrar article on crop diversification with biogas flowering mixtures, they combine agricultural use with clear ecological benefits....

PhD submitted by Julia Rieder

PhD submitted by Julia Rieder

We are pleased to share that our PhD student Julia Rieder has successfully submitted her doctoral thesis! Her dissertation, entitled “Abiotic and biotic drivers of drought responses in European beech (Fagus sylvatica L.) inferred from field and LiDAR data”,...

Share This