Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Timo Breure"'
Autor:
Tadesse Gashaw Asrat, Timo Breure, Ruben Sakrabani, Ron Corstanje, Kirsty L. Hassall, Abdellah Hamma, Fassil Kebede, Stephan M. Haefele
Publikováno v:
Geoderma, Vol 452, Iss , Pp 117116- (2024)
A soil spectrum generated by any spectrometer requires a calibration model to estimate soil properties from it. To achieve best results, the assumption is that locally calibrated models offer more accurate predictions. However, achieving this higher
Externí odkaz:
https://doaj.org/article/fea0a1ac9a704000b0e3a772ed151e2c
Autor:
Tadesse Gashaw Asrat, Stephan M Haefele, Ruben Sakrabani, Kirsty L Hassall, Fassil Kebede, Timo Breure, Ron Corstanje
Proximal soil spectroscopy can be useful to estimate relevant soil properties in real time and cheaply for agricultural decision support and soil health monitoring. However, prediction performance of plant available soil phosphorus by the visNIR has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe30d05e262de024b80ceeb0630aebb5
https://doi.org/10.5194/egusphere-egu23-14364
https://doi.org/10.5194/egusphere-egu23-14364
Achieving multiple sustainable development goals simultaneously demands managing agricultural resources for different objectives and actively considering how these objectives compete (trade-offs) or complement (synergies). Trade-off analyses (TOA) ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::431ad75e21ca526121a9bdd825aee7be
https://doi.org/10.21203/rs.3.rs-1997841/v1
https://doi.org/10.21203/rs.3.rs-1997841/v1
Autor:
Tadesse Gashaw Asrat, Ruben Sakrabani, Ronald Corstanje, Timo Breure, Kirsty L. Hassall, Fassil Kebede, Stephan M. Haefele
Publikováno v:
Geoderma. 432:116397
Laboratory analysis of soil properties is prohibitively expensive and difficult to scale across the soils in sub-Saharan Africa. This results in a lack of soil-specific fertilizer recommendations, where recommendation can only be provided at a region
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::992ee6a901656a09c793acb1d821a5c1
https://doi.org/10.1016/j.geoderma.2023.116397
https://doi.org/10.1016/j.geoderma.2023.116397
Autor:
Richard Webster, Jacqueline Hannam, Alice E. Milne, Ronald Corstanje, Stephan M. Haefele, Timo Breure
Obtaining detailed soil information at a scale suitable for variable rate application (VRA) of fertilizer requires intense sampling. Within this context, traditional wet chemistry analysis of the soil is too costly to provide sufficient detail on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7c745efff31ca5763f3f1c2a862c540
http://dspace.lib.cranfield.ac.uk/handle/1826/16978
http://dspace.lib.cranfield.ac.uk/handle/1826/16978
Autor:
Ronald Corstanje, Jacqueline Hannam, Timo Breure, S. Moreno-Rojas, Jonah M. Prout, Stephan M. Haefele, Alice E. Milne
Publikováno v:
Soil & Tillage Research
The prediction accuracy of soil properties by proximal soil sensing has made their application more practical. However, in order to gain sufficient accuracy, samples are typically air-dried and milled before spectral measurements are made. Calibratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48010ff579cb1f95ec072d8045f77f55
https://pubmed.ncbi.nlm.nih.gov/35110784
https://pubmed.ncbi.nlm.nih.gov/35110784
Autor:
Jacqueline Hannam, Stephan M. Haefele, Richard Webster, Alice E. Milne, Ronald Corstanje, Timo Breure, S. Moreno-Rojas
Publikováno v:
Precision Agriculture
How well could one predict the growth of a leafy crop from reflectance spectra from the soil and how might a grower manage the crop in the light of those predictions? Two fields in the Cambridgeshire Fens in eastern England where farmers grow lettuce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bdbe2666457a473b1d8a639870774bc
https://pubmed.ncbi.nlm.nih.gov/33505210
https://pubmed.ncbi.nlm.nih.gov/33505210
Autor:
Alice E. Milne, Stephan M. Haefele, Richard Webster, Timo Breure, Jacqueline Hannam, Ronald Corstanje
Spectral measurements are increasingly used to predict soil properties. Libraries of soil spectra are built and statistical models are used to relate the spectra to wet chemistry measurements. These relationships can then be used to predict the prope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87c67fb1c4bd48e4a7813c03d438c9c4
https://doi.org/10.5194/egusphere-egu2020-18713
https://doi.org/10.5194/egusphere-egu2020-18713