| |
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Schauberger, B.; Rolinski, S.; Müller, C. |
A network-based approach for semi-quantitative knowledge mining and its application to yield variability |
2016 |
Environmental Research Letters |
11 |
123001 |
|
|
|
Bojar, W.; Knopik, L.; Żarski, J.; Kuśmierek-Tomaszewska, R. |
Integrated assessment of crop productivity based on the food supply forecasting |
2016 |
Agricultural Economics – Czech |
61 |
502-510 |
|
|
|
Bodirsky, B.L.; Müller, C. |
Robust relationship between yields and nitrogen inputs indicates three ways to reduce nitrogen pollution |
2014 |
Environmental Research Letters |
9 |
111005 |
|
|
|
Müller, C.; Robertson, R.D. |
Projecting future crop productivity for global economic modeling |
2014 |
Agricultural Economics |
45 |
37-50 |
|
|
|
Montesino-San Martín, M.; Olesen, J.E.; Porter, J.R. |
Can crop-climate models be accurate and precise? A case study for wheat production in Denmark |
2015 |
Agricultural and Forest Meteorology |
202 |
51-60 |
|
