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…

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.

We, Pheno-Inspect GmbH, together with the manufacturer of autonomous drones for greenhouses Corvus Drones and the horticultural and knowledge development partner Botany, have submitted a #Eurostars project application. The focus is on the automation of cultivation processes and procedures for tomato cultivation within greenhouses.

Trait assessments in the field, i.e., the visual evaluation of the plants’ phenotype, are nowadays carried out with high personnel demand and cost. In part, relevant plant characteristics cannot yet be recorded (non-destructively) with today’s technology. We develop state-of-the-art, cloud-based image processing software based on artificial intelligence for the agricultural and plant breeding sector. Here…

We are happy to announce that Pheno-Inspect joined the Space2Agriculture network today. The network consists of small and medium-sized enterprises, large companies, start-ups, universities, and research institutions and opens up a communication platform between space and agriculture. The network aims to establish cross-sectoral networking, to initiate and consolidate synergies. New commercialization potentials are to be…

Another AI-based “digital expert” from our portfolio is specialized in the analysis of maize plants and the generation of field status reports. It identifies both individual plants and weeds using RGB image data obtained from commercial drones. Our digital expert robustly detects individual plants at different growth stages, even in scenarios with substantial overlap. We…

One of our AI-based “digital experts” is specialized in detecting, counting, and analyzing ears of wheat from aerial images taken by a commercial RGB-only low-cost drone. Our ear detector first recognizes individual trial plots or defined sections of a field and then scans the image data for the ears. Would you also like to count…

This season we already offer a variety of drone-based trait assessments in different crops. Our customers can order the counting of plants or ears, homogeneity assessment, weed maps, application maps, crop density maps, and many other traits. Either upload the data into our cloud, and we analyze it as a service. If you do not…

Today, Philipp Lottes, CEO of Pheno-Inspect, presented the company’s products and services to practitioners from the experimental field trials and plant breeding sectors at the DLG conference for technicians. To further advance the progress in breeding and crop performance evaluation, Pheno-Inspect’s AI-based services provide practitioners with a tool to automate the otherwise very complex field…

From today on we present our startup Pheno-Inspect at the Agritechnika. If you are also there or plan to come, just visit us in hall 21, path C booth 21 C24.