Michael Schirrmann
Michael Schirrmann
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Cited by
Cited by
Biochar, soil and land-use interactions that reduce nitrate leaching and N2O emissions: a meta-analysis
N Borchard, M Schirrmann, ML Cayuela, C Kammann, N Wrage-Mönnig, ...
Science of the Total Environment 651, 2354-2364, 2019
Global distribution of earthworm diversity
HRP Phillips, CA Guerra, MLC Bartz, MJI Briones, G Brown, TW Crowther, ...
Science 366 (6464), 480-485, 2019
Monitoring agronomic parameters of winter wheat crops with low-cost UAV imagery
M Schirrmann, A Giebel, F Gleiniger, M Pflanz, J Lentschke, KH Dammer
Remote Sensing 8 (9), 706, 2016
Soil pH mapping with an on-the-go sensor
M Schirrmann, R Gebbers, E Kramer, J Seidel
Sensors 11 (1), 573-598, 2011
Estimating wheat biomass by combining image clustering with crop height
M Schirrmann, A Hamdorf, A Garz, A Ustyuzhanin, KH Dammer
Computers and Electronics in Agriculture 121, 374-384, 2016
Weed mapping with UAS imagery and a bag of visual words based image classifier
M Pflanz, H Nordmeyer, M Schirrmann
Remote Sensing 10 (10), 1530, 2018
New tropical peatland gas and particulate emissions factors indicate 2015 Indonesian fires released far more particulate matter (but less methane) than current inventories imply
MJ Wooster, DLA Gaveau, MA Salim, T Zhang, W Xu, D C. Green, ...
Remote Sensing 10 (4), 495, 2018
Growth height determination of tree walls for precise monitoring in apple fruit production using UAV photogrammetry
M Hobart, M Pflanz, C Weltzien, M Schirrmann
Remote Sensing 12 (10), 1656, 2020
Performance of automated near‐infrared reflectance spectrometry for continuous in situ mapping of soil fertility at field scale
M Schirrmann, R Gebbers, E Kramer
Vadose Zone Journal 12 (4), 1-14, 2013
Early detection of stripe rust in winter wheat using deep residual neural networks
M Schirrmann, N Landwehr, A Giebel, A Garz, KH Dammer
Frontiers in plant science 12, 469689, 2021
Global data on earthworm abundance, biomass, diversity and corresponding environmental properties
HRP Phillips, EM Bach, MLC Bartz, JM Bennett, R Beugnon, MJI Briones, ...
Scientific data 8 (1), 136, 2021
Optimized deep learning model as a basis for fast UAV mapping of weed species in winter wheat crops
T de Camargo, M Schirrmann, N Landwehr, KH Dammer, M Pflanz
Remote Sensing 13 (9), 1704, 2021
Spatial analysis of riparian forest soil macrofauna and its relation to abiotic soil properties
S Gholami, E Sayad, R Gebbers, M Schirrmann, M Joschko, J Timmer
Pedobiologia 59 (1-2), 27-36, 2016
Regression kriging for improving crop height models fusing ultra-sonic sensing with UAV imagery
M Schirrmann, A Hamdorf, A Giebel, F Gleiniger, M Pflanz, KH Dammer
Remote Sensing 9 (7), 665, 2017
Improving deep learning-based plant disease classification with attention mechanism
P Alirezazadeh, M Schirrmann, F Stolzenburg
Gesunde Pflanzen 75 (1), 49-59, 2023
Sampling procedure simulating on‐the‐go sensing for soil nutrients
M Schirrmann, H Domsch
Journal of Plant Nutrition and Soil Science 174 (2), 333-343, 2011
Will CO2 Emissions from Drained Tropical Peatlands Decline Over Time? Links Between Soil Organic Matter Quality, Nutrients, and C Mineralization Rates
E Swails, D Jaye, L Verchot, K Hergoualc’h, M Schirrmann, N Borchard, ...
Ecosystems 21, 868-885, 2018
Spatio-temporal drivers of soil and ecosystem carbon fluxes at field scale in an upland grassland in Germany
N Borchard, M Schirrmann, C von Hebel, M Schmidt, R Baatz, L Firbank, ...
Agriculture, ecosystems & environment 211, 84-93, 2015
Site‐specific weed management—constraints and opportunities for the weed research community: Insights from a workshop
RN Lati, J Rasmussen, D Andujar, J Dorado, TW Berge, C Wellhausen, ...
Weed Research 61 (3), 147-153, 2021
Biochar research activities and their relation to development and environmental quality. A meta-analysis
K Mehmood, E Chávez Garcia, M Schirrmann, B Ladd, C Kammann, ...
Agronomy for sustainable development 37, 1-15, 2017
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