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Browsing by Author "Milne, Alice E."

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Agricultural decision-making under uncertainty: a loss function on the kriging variance from soil properties predicted by infrared and X-ray fluorescence spectroscopy

Breure, Timo Samuel; Haefele, Stephan M.; Webster, Richard; Hannam, Jacqueline A.; Corstanje, Ronald; Milne, Alice E. (EGU: European Geophysical Union, 2021-04-30)
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

Breure, Timo Samuel; Prout, Jonah M.; Haefele, Stephan M.; Milne, Alice E.; Hannam, Jacqueline A.; Moreno-Rojas, S.; Corstanje, Ronald (Elsevier, 2021-10-07)

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 ...
Evidence of collaborative opportunities to ensure long-term sustainability in African farming

El Fartassi, Imane; Milne, Alice E.; El Alami, Rafiq; Rafiqi, Maryam; Hassall, Kirsty L.; Waine, Toby W.; Zawadzka, Joanna; Diarra, Alhousseine; Corstanje, Ron (Elsevier, 2023-02-17)

Farmers face the challenge of increasing production to feed a growing population and support livelihoods, whilst also improving the sustainability and resilience of cropping systems. Understanding the key factors that ...
Facilitating the elicitation of beliefs for use in Bayesian Belief modelling

Hassall, Kirsty L.; Dailey, Gordon; Zawadzka, Joanna; Milne, Alice E.; Harris, Jim A.; Corstanje, Ronald; Whitmore, Andrew P. (Elsevier, 2019-10-01)

Expert opinion is increasingly being used to inform Bayesian Belief Networks, in particular to define the conditional dependencies modelled by the graphical structure. The elicitation of such expert opinion remains a major ...
A foliar disease model for use in wheat disease management decision support systems.

Audsley, Eric; Milne, Alice E.; Paveley, Neil (Blackwell Publishing Ltd., 2005-10-01)

A model of winter wheat foliar disease is described, parameterised and tested for Septoria tritici (leaf blotch), Puccinia striiformis (yellow rust), Erysiphe graminis (powdery mildew) and Puccinia triticina (brown rust). ...
A model of the effect of fungicides on disease-induced yield loss, for use in wheat disease management decision support systems

Milne, Alice E.; Paveley, Neil; Audsley, Eric; Parsons, David J. (Blackwell Publishing Ltd., 2007-08-15)

A model of the effect of foliar-applied fungicides on disease-induced yield loss is described, parameterised and tested. The effects of fungicides on epidemics of Septoria tritici (leaf blotch), Puccinia striiformis (yellow ...
A model to simulate yield losses in winter wheat caused by weeds, for use in a weed management decision support system

Benjamin, L. R.; Milne, Alice E.; Parsons, David J.; Lutman, P. J. W. (Elsevier Science B.V., Amsterdam., 2010-11-01)

The 'within-season' module of the Weed Manager decision support system (DSS) predicts the effect of twelve UK arable weeds on winter wheat yields and profitability. The model and decision algorithm that underpin the DSS ...
Predicting the growth of lettuce from soil infrared reflectance spectra: the potential for crop management

Breure, Timo Samuel; Milne, Alice E.; Webster, R.; Haefele, Stephan M.; Hannam, Jacqueline A.; Moreno-Rojas, S.; Corstanje, Ronald (Springer, 2020-08-10)

How well could one predict the growth of a leafy crop from refectance spectra from the soil and how might a grower manage the crop in the light of those predictions? Topsoil from two felds was sampled and analysed for ...
Stepwise model parametrisation using satellite imagery and hemispherical photography: tuning AquaCrop sensitive parameters for improved winter wheat yield predictions in semi-arid regions

Oulaid, Bader; Milne, Alice E.; Waine, Toby; El Alami, Rafiq; Rafiqi, Maryam; Corstanje, Ron (Elsevier, 2024-03-08)

Crop models are complex with many parameters, which has limited their application. Here we present an approach which both removes the model complexity through reducing the parameter dimensionality through sensitivity ...
Using stochastic dynamic programming to support weed management decisions over a rotation

Benjamin, L. R.; Milne, Alice E.; Lutman, P. J. W.; Parsons, David J.; Cussans, J.; Storkey, J. (Blackwell Publishing Ltd, 2009-04-01)

This study describes a model that predicts the impact of weed management on the population dynamics of arable weeds over a rotation and presents the economic consequences. A stochastic dynamic programming optimisation ...
Weed Manager-A model-based decision support system for weed management in arable crops

Parsons, David J.; Benjamin, L. R.; Clarke, J.; Ginsburg, D.; Mayes, A.; Milne, Alice E.; Wilkinson, D. J. (Elsevier Science B.V., Amsterdam., 2009-03-01)

Weed Manager is a model-based decision support system to assist arable farmers and advisers in weed control decisions on two time scales: within a single season and over several years in a rotation. The single season ...

Browsing by Author "Milne, Alice E."

Browsing by Author "Milne, Alice E."

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