Relationship-specific antecedents of customer involvement in new product development. - Thomas Ritter; Achim Walter (Int. J. Technol. Manag., 2003)

Measuring Plant Root Growth. - Matthias Mühlich; Daniel Truhn; Kerstin Nagel; Achim Walter; Hanno Scharr; Til Aach (DAGM-Symposium, 2008)

Radicalness of Technological Inventions and Young Venture Performance - The Role of Technological Competition and Product Diversity. - Arne Schmidt 003; Sascha G. Walter; Achim Walter (IEEE Trans. Engineering Management, 2013)

Characterization of crop vitality and resource use efficiency by means of combining imaging spectroscopy based plant traits. - Frank Liebisch; Gabriela Kung; Alexander Damm; Achim Walter (WHISPERS, 2014)

Beyond point clouds - 3D mapping and field parameter measurements using UAVs. - Raghav Khanna; Martin Möller; Johannes Pfeifer; Frank Liebisch; Achim Walter; Roland Siegwart (ETFA, 2015)

Soybean Leaf Coverage Estimation for Field-Phenotyping. - Kevin Keller; Raghav Khanna; Norbert Kirchgeßner; Roland Siegwart; Achim Walter; Helge Aasen (BMVC, 2018)

Aerial and Ground Based Sensing of Tolerance to Beet Cyst Nematode in Sugar Beet. - Samuel Joalland; Claudio Screpanti; Hubert Vincent Varella; Marie Reuther; Mareike Schwind; Christian Lang 003; Achim Walter; Frank Liebisch (Remote. Sens., 2018)

WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming. - Inkyu Sa; Marija Popovic; Raghav Khanna; Zetao Chen; Philipp Lottes; Frank Liebisch; Juan I. Nieto 001; Cyrill Stachniss; Achim Walter; Roland Siegwart (Remote. Sens., 2018)

Building an Aerial-Ground Robotics System for Precision Farming. - Alberto Pretto; Stéphanie Aravecchia; Wolfram Burgard; Nived Chebrolu; Christian Dornhege; Tillmann Falck; Freya Fleckenstein; Alessandra Fontenla; Marco Imperoli; Raghav Khanna; Frank Liebisch; Philipp Lottes; et al. (CoRR, 2019)

Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. - Alberto Pretto; Stéphanie Aravecchia; Wolfram Burgard; Nived Chebrolu; Christian Dornhege; Tillmann Falck; Freya Veronika Fleckenstein; Alessandra Fontenla; Marco Imperoli; Raghav Khanna; Frank Liebisch; Philipp Lottes; et al. (IEEE Robotics Autom. Mag., 2021)

Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data. - Gregor Perich; Helge Aasen; Jochem Verrelst; Francesco Argento; Achim Walter; Frank Liebisch (Remote. Sens., 2021)

Wahrnehmung und Adoption von Farmmanagementinformationssystemen unter künftigen Betriebsleitenden. - Jeanine Ammann; Achim Walter; Nadja El Benni (GIL Jahrestagung, 2022)

Using high-resolution drone data to assess apparent agricultural field heterogeneity at different spatial resolutions. - Quirina Noëmi Merz; Achim Walter; Helge Aasen (GIL Jahrestagung, 2022)

On-farm evaluation of UAV-based aerial imagery for season-long weed monitoring under contrasting management and pedoclimatic conditions in wheat. - Jonas Anderegg; Flavian Tschurr; Norbert Kirchgeßner; Simon Treier; Manuel Schmucki; Bernhard Streit; Achim Walter (Comput. Electron. Agric., 2023)

Data-Centric Digital Agriculture: A Perspective. - Ribana Roscher; Lukas Roth; Cyrill Stachniss; Achim Walter (CoRR, 2023)

Propagating Sentinel-2 Top-of-Atmosphere Radiometric Uncertainty Into Land Surface Phenology Metrics Using a Monte Carlo Framework. - Lukas Valentin Graf; Javier Gorroño; Andreas Hueni; Achim Walter; Helge Aasen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting. - Daiwei Zhang; Joaquin Gajardo; Tomislav Medic; Isinsu Katircioglu; Mike Boss; Norbert Kirchgeßner; Achim Walter; Lukas Roth (CVPR Workshops, 2025)

A comparison of proximal and remote optical sensor platforms for N status estimation in winter wheat. - Francesco Argento; Quirina Noëmi Merz; Gregor Perich; Thomas Anken; Achim Walter; Frank Liebisch (Comput. Electron. Agric., 2025)

DyMEP: R package for weather data-based phenology prediction for ten crops. - Flavian Tschurr; Achim Walter; Lukas Roth (Comput. Electron. Agric., 2025)

Towards high throughput in-field detection and quantification of wheat foliar diseases using deep learning. - Radek Zenkl; Bruce A. McDonald; Achim Walter; Jonas Anderegg (Comput. Electron. Agric., 2025)