| Artificial neural networks and decision tree classification for predicting soil drainage classes in Denmark A Beucher, AB Møller, MH Greve Geoderma 352, 351-359, 2019 | 80 | 2019 |
| Predicting artificially drained areas by means of a selective model ensemble AB Møller, A Beucher, BV Iversen, MH Greve Geoderma 320, 30-42, 2018 | 59 | 2018 |
| Artificial neural network for acid sulfate soil mapping: Application to the Sirppujoki River catchment area, south-western Finland A Beucher, P Österholm, A Martinkauppi, P Edén, S Fröjdö Journal of Geochemical Exploration 125, 46-55, 2013 | 52 | 2013 |
| Prediction of soil drainage classes in Denmark by means of decision tree classification AB Møller, BV Iversen, A Beucher, MH Greve Geoderma 352, 314-329, 2019 | 47 | 2019 |
| Improved disaggregation of conventional soil maps AB Møller, B Malone, NP Odgers, A Beucher, BV Iversen, MH Greve, ... Geoderma 341, 148-160, 2019 | 42 | 2019 |
| Oblique geographic coordinates as covariates for digital soil mapping AB Møller, AM Beucher, N Pouladi, MH Greve Soil 6 (2), 269-289, 2020 | 41 | 2020 |
| Fuzzy logic for acid sulfate soil mapping: Application to the southern part of the Finnish coastal areas A Beucher, S Fröjdö, P Österholm, A Martinkauppi, P Edén Geoderma 226, 21-30, 2014 | 39 | 2014 |
| Machine learning techniques for acid sulfate soil mapping in southeastern Finland V Estévez, A Beucher, S Mattbäck, A Boman, J Auri, KM Björk, ... Geoderma 406, 115446, 2022 | 30 | 2022 |
| Comparing a random forest based prediction of winter wheat yield to historical yield potential YE Roell, A Beucher, PG Møller, MB Greve, MH Greve Agronomy 10 (3), 395, 2020 | 30 | 2020 |
| Interpretation of convolutional neural networks for acid sulfate soil classification A Beucher, CB Rasmussen, TB Moeslund, MH Greve Frontiers in Environmental Science 9, 809995, 2022 | 29 | 2022 |
| Mapping potential acid sulfate soils in Denmark using legacy data and LiDAR-based derivatives A Beucher, K Adhikari, H Breuning-Madsen, MB Greve, P Österholm, ... Geoderma 308, 363-372, 2017 | 29 | 2017 |
| Artificial neural network for mapping and characterization of acid sulfate soils: Application to Sirppujoki River catchment, southwestern Finland A Beucher, R Siemssen, S Fröjdö, P Österholm, A Martinkauppi, P Edén Geoderma 247, 38-50, 2015 | 28 | 2015 |
| Mapping of peat thickness using a multi-receiver electromagnetic induction instrument A Beucher, T Koganti, BV Iversen, MH Greve Remote Sensing 12 (15), 2458, 2020 | 23 | 2020 |
| Soil organic C and N stock changes in grass-clover leys: Effect of grassland proportion and organic fertilizer JL Jensen, AM Beucher, J Eriksen Geoderma 424, 116022, 2022 | 20 | 2022 |
| Mapping and monitoring peatland conditions from global to field scale B Minasny, DV Adetsu, M Aitkenhead, RRE Artz, N Baggaley, ... Biogeochemistry 167 (4), 383-425, 2024 | 18 | 2024 |
| Definition and classification of Finnish acid sulfate soils P Edén, E Rankonen, J Auri, M Yli-Halla, P Österholm, A Beucher, ... 7th International Acid Sulfate Soil Conference, Vaasa. Geological Survey Of …, 2012 | 17 | 2012 |
| Mapping acid sulfate soils in Finland: methods and results P Edén, J Auri, E Rankonen, A Martinkauppi, P Österholm, A Beucher, ... 7th IASSC in Vaasa, Finland, towards harmony between land use and the …, 2012 | 12 | 2012 |
| Development of hierarchical terron workflow based on gridded data–A case study in Denmark YE Roell, Y Peng, A Beucher, MB Greve, MH Greve Computers & Geosciences 138, 104454, 2020 | 11 | 2020 |
| Oblique geographic coordinates as covariates for digital soil mapping. SOIL 6 (2), 269–289 AB Møller, AM Beucher, N Pouladi, MH Greve | 11 | 2020 |
| Assessment of acid sulfate soil mapping utilizing chemical indicators in recipient waters. A Beucher, S Fröjdö, P Österholm, J Auri, A Martinkauppi, P Eden Bulletin of the Geological Society of Finland 87 (1), 2015 | 11 | 2015 |
Mogens Humlekrog GreveAarhus Universitet在 agro.au.dk 的电子邮件经过验证
