Mahmood et al., 2023 - Google Patents
Embedding expert opinion in a Bayesian network model to predict wheat yield from spring-summer weatherMahmood et al., 2023
View HTML- 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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- G06Q10/00—Administration; Management
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