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Mahmood et al., 2023 - Google Patents

Embedding expert opinion in a Bayesian network model to predict wheat yield from spring-summer weather

Mahmood et al., 2023

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Document ID
950542898770104577
Author
Mahmood S
Karampoiki M
Hammond J
Paraforos D
Murdoch A
Todman L
Publication year
Publication venue
Smart Agricultural Technology

External Links

Snippet

Abstracts Wheat yield is highly dependent on weather, Therefore, predicting its effect can improve crop management decisions. Various modelling approaches have been used to predict wheat yield including process-based modelling, statistical models, and machine …
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    • G06Q10/00Administration; Management
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    • G06Q30/00Commerce, e.g. shopping or e-commerce
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