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• W3176117925 abstract "Algorithms were developed to predict spatial variation of yield and quality within winter wheat crops intended for bread-making. Bayesian networks were used to predict spatial probability maps of yield and quality based on data sources including yield maps, fertiliser applications, soil variables and Sentinel 2 satellite data. Results presented here for five UK fields show that there was a 65% likelihood of achieving a grain protein premium with variable rate nitrogen application compared to 50% with uniform N. Achieving this premium would increase revenues by £150/ha. A similar comparison for five German fields did not demonstrate a higher probability of profit." @default.
• W3176117925 created "2021-07-05" @default.
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• W3176117925 date "2021-06-25" @default.
• W3176117925 modified "2023-09-27" @default.
• W3176117925 title "113. Predicting the probability that higher profits could be achieved by adopting PA" @default.
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• W3176117925 doi "https://doi.org/10.3920/978-90-8686-916-9_113" @default.
• W3176117925 hasPublicationYear "2021" @default.
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