• M. Halstead, P. Zimmer and C. McCool, “A cross-domain challenge with panoptic segmentation in agriculture”, The International Journal of Robotics Research


    • C. Smitt, M. Halstead, P. Zimmer, T. Läbe, E. Guclu, C. Stachniss and C. McCool, “PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics”, IEEE Robotics and Automation Letters 9 (1), 907-914
    • M. Li, M. Halstead and C. McCool, “Knowledge Distillation for Efficient Panoptic Semantic Segmentation: Applied to Agriculture”, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems
    • Y. Pan, F. Magistri, T. Läbe, E. Marks, C. Smitt, C. McCool, J. Behley and C. Stachniss, “Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots”, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems
    • P. Zimmer, M. Halstead and C. McCool, “Panoptic One-Click Segmentation: Applied to Agricultural Data”, IEEE Robotics and Automation Letters 8 (5), 2478-2485 


    • A. Ahmadi and M. Halstead, and C. McCool, “BonnBot-I: a precise weed management and crop monitoring platform”, accepted to IROS 2022
    • A. Ahmadi, M. Halstead, C. McCool, “Towards Autonomous Visual Navigation in Arable Fields“, accepted to IROS 2022, pdf

    • C. Smitt, M. Halstead, A. Ahmadi, and C. McCool, “Explicitly incorporating spatial information to recurrent networks for agriculture”, Robotics and Automation Letters 2022, pdf
    • F. Magistri, E. Marks, S. Nagulavancha, I. Vizzo, T. Läbe, J. Behley, M. Halstead, C. McCool and C. Stachniss, “Constrastive 3D Shape Completion and Reconstruction for Agricultural Robots using RGB-D Frames”,  Robotics and Automation Letters, 2022, pdf
    • A. Christ, O. Schmittmann, and P. Schulze Lammers, “Capability of the TrueColor Sensor Array for Determining the Nitrogen Supply in Winter Barley (Hordeum vulgare L.)“, Sensors 22, no. 16: 6032, pdf
    • S. Seidel, T. Gaiser, A. Srivastava, D. Leitner, O. Schmittmann M. Athmann, T. Kautz, J. Guigue, F. Ewert, and A. Schnepf “Simulating Root Growth as a Function of Soil Strength and Yield With a Field-Scale Crop Model Coupled With a 3D Architectural Root Model“, Frontiers in Plant Science, 2022, pdf


    • Michael Halstead, Alireza Ahmadi, Claus Smitt, Oliver Schmittmann and Chris McCool, “Crop Agnostic Monitoring Driven by Deep Learning”, Frontiers in Plant Science, 2021, link
    • A. Ahmadi, M. Halstead, C. McCool, “Virtual Temporal Samples for Recurrenty Neural Networks: applied to semantic segmentation in agriculture“, DAGM, 2021, pdf
    • T. Zaenker, C. Lehnert, C. McCool, and M. Bennewitz, “Combining Local and Global Viewpoint Planning for Fruit Coverage“, ECMR, 2021 link

    • T. Zaenker, C. Smitt, C. McCool, and M. Bennewitz, “Viewpoint Planning for Fruit Size and Position Estimation“, to appear in IEER/RJS IROS, 2021 link

    • C. Smitt, M. Halstead, T. Zaenker, M. Bennewitz, and C. McCool, “PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention“, to appear in IEEE ICRA, 2021 link

    • A. Christ, O. Schmittmann, and P. Schulze Lammers, “Agricultural information technologies, precision farming, software engineering and data handling“, to appear in the International Conference on Agricultural Engineering
    • O. Schmittmann, A. Christ, and P. Schulze-Lammers, “Subsoil Melioration with Organic Material—Principle, Technology and Yield Effects“, Agronomy, 2021


    • C. Lehnert, C. McCool, I. Sa, and T. Perez, “Performance improvements of a sweet pepper harvesting robot in protected cropping environments“, Journal of Field Robotics, 2020 link

    • M. Halstead, S. Denman, C. Fookes, and C. McCool, “Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar“, to appear in Digital Image Computing: Techniques and Applications (DICTA), 2020 pdf

    • A. Milioto, J. Behley, C. McCool, and C. Stachniss, “LiDAR Panoptic Segmentation for Autonomous Driving“, in Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020 pdf


    • C. Lehnert, D. Tsai, A. Eriksson and C. McCool, “3D Move to See: Multi-perspective visual servoing towards the next best view within unstructured and occluded environments”, IROS, 2019 link

    • B. Arain, C. McCool, P. Rigby, D. Cagara and M. Dunbabin “Improving Underwater Obstacle Detection using Semantic Image Segmentation”, ICRA, 2019 link

    • Q. Cheng, Q. Xu, X. Yan, D. Grantz, X. Xue, Y. Sun, P. Schulze Lammers, Z. Wang, and Q. Cheng, “Improving estimation of evapotranspiration during soil freeze-thaw cycles by incorporating a freezing stress index and a coupled heat and water transfer model into the FAO Penman-Monteith model“, Agricultural and Forest Meteorology,  2019

    • A. Sun, H. Zhou, G. Shan, D. Grantz, P. Schulze Lammers, X. Xuee, L. Damerow, and J. Burkhardt, “Diurnal and seasonal transitions of water and ice content in apple stems: Field tracking the radial location of the freezing- and thawing-fronts using a noninvasive smart sensor“, Agricultural and Forest Meteorology, 2019

    • G. Shan, Y. Sun, H. Zhou, P. Schulze Lammers, D. Grantz, X. Xue, and Z. Wan, “A horizontal mobile dielectric sensor to assess dynamic soil water content and flows: Direct measurements under drip irrigation compared with HYDRUS-2D model simulation“, Biosystems Engineering, 2019

    • C. Chen, X. Yan, Y. Ma, S. Yua, Q. Xu, D. Grantz, P. Schulze Lammers, Z. Wang, Y. Sun, and Q. Cheng, “Monitoring near-surface soil water content using an innovative perforated cylinder coaxial dielectric sensor“, Journal of Hydrology, 2019

    • I. Jakobs, O. Schmittmann, M. Athmann, T. Kautz, and P. Schulze Lammers, “Cereal Response to Deep Tillage and Incorporated Organic Fertilizer”, Agronomy, 2019