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Timo Breure
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Comparing the effect of different sample conditions and spectral libraries on the prediction accuracy of soil properties from near-and mid-infrared spectra at the field-scale
TS Breure, JM Prout, SM Haefele, AE Milne, JA Hannam, S Moreno-Rojas, ...
Soil and Tillage Research 215, 105196, 2022
182022
A loss function to evaluate agricultural decision-making under uncertainty: a case study of soil spectroscopy
TS Breure, SM Haefele, JA Hannam, R Corstanje, R Webster, ...
Precision Agriculture 23 (4), 1333-1353, 2022
82022
Predicting the growth of lettuce from soil infrared reflectance spectra: the potential for crop management
TS Breure, AE Milne, R Webster, SM Haefele, JA Hannam, ...
Precision agriculture 22 (1), 226-248, 2021
82021
Spectral soil analysis for fertilizer recommendations by coupling with QUEFTS for maize in East Africa: A sensitivity analysis
TG Asrat, R Sakrabani, R Corstanje, T Breure, KL Hassall, F Kebede, ...
Geoderma 432, 116397, 2023
2023
Soil phosphorus prediction by visNIR could be dependent on the conversional P determination method
TG Asrat, SM Haefele, R Sakrabani, KL Hassall, F Kebede, T Breure, ...
EGU23, 2023
2023
Agricultural decision-making under uncertainty: a loss function on the kriging variance from soil properties predicted by infrared and X-ray fluorescence spectroscopy
T Breure, SM Haefele, R Webster, JA Hannam, R Corstanje, AE Milne
EGU General Assembly Conference Abstracts, EGU21-12615, 2021
2021
Quantifying the uncertainty in the prediction of soil properties from soil-spectra using local and regional spectral libraries
T Breure, A Milne, R Webster, SM Haefele, JA Hannam, R Corstanje
EGU General Assembly Conference Abstracts, 18713, 2020
2020
Data Study Group Network Final Report: Rothamsted Research
T Breure, CU Carmona, S Ellisck, B Evans, A Fahmi, SM Haefele, ...
Data Study Group Network Final Report: Rothamsted Research. Zenodo, 2020
2020
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Articles 1–8