The artificial intelligence project “RegisTer,” funded by the German Federal Ministry of Food and Agriculture (BMEL) is on track! RegisTer is coordinated by Pheno-Inspect GmbH. Together with the Institut Für Zuckerrübenforschung, The University of Bonn, and the Bundessortenamt, we look back on a successful 2021 season. We collected a lot of data and gained many novel insights. Thanks to Anne-Katrin Mahlein, Cyrill…
Multi-Spectral Data Processing
Hello #agtech community. Would you like to process multispectral drone image data quickly, efficiently, and on a large scale? This can be useful when color characteristics play an essential role to assess a specific trait, e.g.,– Plant diseases– spectral vegetation indices such as #ndvi, #ndre, and #manymore At Pheno-Inspect, we solve many daily challenges already with standard #RGB cameras but can also…
Webinar: Next-Level Phenotyping
Hello Technology Enthusiasts. For those who didn’t find time to watch our webinar on Next-Level Phenotyping, here’s the recording! In this webinar, we talk about what Pheno-Inspect’s processing software can do to solve current challenges in field phenotyping. This recording highlights topics in UAV-based field phenotyping, i.e., Plant counting, ear counting, fruit counting, object counting,…
Saison 2021
We are looking forward to the 2021 season, new challenges, and exciting collaborations with our partners!
Emergence-Scoring in Cereals
Crop emergence counting in cereals is labor-intensive and becomes tricky when plants start to overlap. We at Pheno-Inspect GmbH offer you a solution based on RGB images that allows you to count and evaluate your trials’ performance. For example, you can fly with an out-of-the-box Phantom 4 Pro, send us the raw image data, and…
Drone-Based Emergence Scoring
Our AI-based “counting experts” can detect #anycrop, whether it is a row crop or not, and reliably count individual plants under most conditions in the field, thus detecting gaps and generating dynamic traits over time. It does not matter:(i) if plants have just emerged,(ii) if plants already overlap each other,(iii) if there is high weed pressure…
Multi-Species Weed Mapping
Our AI-based “digital experts” can detect and map different plant species in the field. We unleash the full potential of high-resolution aerial photography to detect and map crops and various weeds.
Drone-Based Ear Counting
One of our AI-based “digital experts” is practiced in detecting, counting, and analyzing ears. Either from aerial images taken by a commercial RGB-only drone, a smartphone, or any other camera. Would you also like to count ears or #anyotherobjects in your trial fields fully automatically and with high throughput?Do not hesitate to contact us, and we can…
Smartphone-Based Scoring
Trait assessments in field trials are nowadays carried out with high personnel demand. We at Pheno-Inspect GmbH develop state-of-the-art, cloud-based image processing software based on artificial intelligence for the agricultural and plant breeding sector and make it available worldwide. Automated counting, sizing several crops and weeds, detecting plant stress, and many other traits are just a few…
Pheno-Inspect stands for Worldwide Cutting-Edge Development of Innovative Image Processing Software for Plant Analysis
We are proud to announce that our paper is nominated for the Best Paper Award on Agri-Robotics on the International Conference on Intelligent Robots and Systems (IROS 2020). “Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots.” Paper: Link Great work together with Dario Gogoll, Jan Weyler, Cyrill Stachniss and Nik Petrinic.