| UAV-based crop and weed classification for smart farming P Lottes, R Khanna, J Pfeifer, R Siegwart, C Stachniss 2017 IEEE international conference on robotics and automation (ICRA), 3024-3031, 2017 | 474 | 2017 |
| GROWSCREEN-Rhizo is a novel phenotyping robot enabling simultaneous measurements of root and shoot growth for plants grown in soil-filled rhizotrons KA Nagel, A Putz, F Gilmer, K Heinz, A Fischbach, J Pfeifer, M Faget, ... Functional plant biology 39 (11), 891-904, 2012 | 383 | 2012 |
| The ETH field phenotyping platform FIP: a cable-suspended multi-sensor system N Kirchgessner, F Liebisch, K Yu, J Pfeifer, M Friedli, A Hund, A Walter Functional Plant Biology 44 (1), 154-168, 2016 | 192 | 2016 |
| Building an aerial–ground robotics system for precision farming: an adaptable solution A Pretto, S Aravecchia, W Burgard, N Chebrolu, C Dornhege, T Falck, ... IEEE Robotics & Automation Magazine 28 (3), 29-49, 2020 | 120 | 2020 |
| Evidence of improved water uptake from subsoil by spring wheat following lucerne in a temperate humid climate T Gaiser, U Perkons, PM Küpper, DU Puschmann, S Peth, T Kautz, ... Field Crops Research 126, 56-62, 2012 | 112 | 2012 |
| Rapid phenotyping of crop root systems in undisturbed field soils using X-ray computed tomography J Pfeifer, N Kirchgessner, T Colombi, A Walter Plant methods 11, 1-8, 2015 | 90 | 2015 |
| Spring barley shows dynamic compensatory root and shoot growth responses when exposed to localised soil compaction and fertilisation J Pfeifer, M Faget, A Walter, S Blossfeld, F Fiorani, U Schurr, KA Nagel Functional plant biology 41 (6), 581-597, 2014 | 70 | 2014 |
| Beyond point clouds-3d mapping and field parameter measurements using uavs R Khanna, M Möller, J Pfeifer, F Liebisch, A Walter, R Siegwart 2015 IEEE 20th conference on emerging technologies & factory automation …, 2015 | 66 | 2015 |
| Changes in the allocation of endogenous strigolactone improve plant biomass production on phosphate‐poor soils G Liu, J Pfeifer, R de Brito Francisco, A Emonet, M Stirnemann, C Gübeli, ... New Phytologist 217 (2), 784-798, 2018 | 64 | 2018 |
| Artificial pores attract barley roots and can reduce artifacts of pot experiments J Pfeifer, N Kirchgessner, A Walter Journal of Plant Nutrition and Soil Science 177 (6), 903-913, 2014 | 43 | 2014 |
| RADIX: rhizoslide platform allowing high throughput digital image analysis of root system expansion C Le Marié, N Kirchgessner, P Flütsch, J Pfeifer, A Walter, A Hund Plant methods 12, 1-15, 2016 | 30 | 2016 |
| Flourish-A robotic approach for automation in crop management F Liebisch, J Pfeifer, R Khanna, P Lottes, C Stachniss, T Falck, S Sander, ... Workshop Computer-Bildanalyse und Unbemannte autonom fliegende Systeme in …, 2016 | 21 | 2016 |
| Assessing potato tuber diel growth by means of X‐ray computed tomography E Pérez‐Torres, N Kirchgessner, J Pfeifer, A Walter Plant, cell & environment 38 (11), 2318-2326, 2015 | 21 | 2015 |
| Towards automatic UAV data interpretation for precision farming J Pfeifer, R Khanna, C Dragos, M Popovic, E Galceran, N Kirchgessner, ... CIGR-AgEng conference. Aarhus, Denmark, 5, 2016 | 15 | 2016 |
| Non-destructive measurement of soybean leaf thickness via X-ray computed tomography allows the study of diel leaf growth rhythms in the third dimension J Pfeifer, M Mielewczik, M Friedli, N Kirchgessner, A Walter Journal of plant research 131, 111-124, 2018 | 13 | 2018 |
| Proximal and remote quantification of nitrogen fertilzer demand-a case study in sugar beet. F Liebisch, J Pfeifer, C Müller-Ruh, A Walter | 5 | 2017 |
| Elucidation of root-soil interactions of crops in space and time by establishment and application of novel image based non-invasive root phenotyping methods J Pfeifer ETH Zurich, 2013 | 5 | 2013 |
| Automatic UAV-based field inspection campaigns for weeding in row crops F Liebisch, M Popovic, J Pfeifer, R Khanna, P Lottes, C Stachniss, A Pretto, ... | 4 | 2017 |
| RADIX: rhizoslide platform allowing high throughput digital image analysis of root system expansion. C Marié, N Kirchgessner, P Flütsch, J Pfeifer, A Walter, A Hund | 2 | 2016 |
| The FIP 1.0 Data Set: Highly Resolved Annotated Image Time Series of 4,000 Wheat Plots Grown in Six Years L Roth, M Boss, N Kirchgessner, H Aasen, BP Aguirre-Cuellar, ... bioRxiv, 2024.10. 04.616624, 2024 | | 2024 |
Achim WalterProfessor of Crop Science, ETH ZürichVerified email at usys.ethz.ch
