Improving efficiency of organic farming by using a deep learning classification approach. - Florian Johannes Knoll; Vitali Czymmek; Sascha Poczihoski; Tim Holtorf; Stephan Hussmann (Comput. Electron. Agric., 2018)

Vision-Based Deep Learning Approach for Real-Time Detection of Weeds in Organic Farming. - Vitali Czymmek; Leif O. Harders; Florian Johannes Knoll; Stephan Hussmann (I2MTC, 2019)

Image matching algorithm for weed control applications in organic farming. - Stephan Hussmann; Yuheng Wang; Vitali Czymmek; Florian Johannes Knoll (I2MTC, 2019)

Real-time classification of weeds in organic carrot production using deep learning algorithms. - Florian Johannes Knoll; Vitali Czymmek; Leif O. Harders; Stephan Hussmann (Comput. Electron. Agric., 2019)

Vision Based Crop Row Detection for Low Cost UAV Imagery in Organic Agriculture. - Vitali Czymmek; Riko Schramm; Stephan Hussmann (I2MTC, 2020)

Deep Learning Approach for high Energy efficient Real-Time Detection of Weeds in Organic Farming. - Vitali Czymmek; Clarissa Möller; Leif O. Harders; Stephan Hussmann (I2MTC, 2021)

Area Yield Performance Evaluation of a Nonchemical Weeding Robot in Organic Farming. - Leif O. Harders; Vitali Czymmek; Florian Johannes Knoll; Stephan Hussmann (I2MTC, 2021)

Accuracy Evaluation of a Weeding Robot in Organic Farming. - Vitali Czymmek; Leif O. Harders; Florian Johannes Knoll; Stephan Hussmann (I2MTC, 2022)