Publication
Number of items: 9.
B
A geostatistical analysis of the spatial variation of soil mineral nitrogen and potentially available nitrogen within an arable field. (2003)
Baxter, S. J., Oliver, M. A., Gaunt, J. L.
A loss function to evaluate agricultural decision‑making under uncertainty: a case study of soil spectroscopy. (2022)
Breure, Timo, Haefele, Stephan, Hannam, J. A., Corstanje, R., Webster, Richard, Moreno-Rojas, S., Milne, Alice
Predicting the growth of lettuce from soil infrared reflectance spectra: the potential for crop management. (2020)
Breure, Timo, Milne, Alice, Webster, Richard, Haefele, Stephan, Hannam, J. A., Moreno-Rojas, S., Corstanje, R.
E
Mapping infestations of potato cyst nematodes and the potential for spatially varying application of nematicides. (2003)
Evans, K., Webster, Richard, Barker, A. D. P., Halford, P. D., Russell, M. D., Stafford, J., Griffin, S.
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Simultaneous identification of plant stresses and diseases in arable crops using proximal optical sensing and self-organising maps. (2006)
Moshou, D., Bravo, C., Wahlen, S., West, Jon, McCartney, H. A., De Baerdemaeker, J., Ramon, H.
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Detection of biotic and abiotic stresses in crops by using hierarchical self organizing classifiers. (2017)
Pantazi, X., Dimitrios, M., Oberti, R., West, Jon, Mouazen, A., Bochtis, D.
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Enhancing the value of field experimentation through whole-of-block designs. (2010)
Panten, K., Bramley, R. G. V., Lark, R. M., Bishop, T. F. A.
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Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms. (2025)
Qiao, X., Wang, J., Jing, B., Zhang, X., Jia, Y., Huang, K., Yang, W., Feng, M., Zhang, Z., Zhao, Y., Shafiq, F., Xiao, L., Song, X., Zhang, M., Wang, Chao
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