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@ -281,6 +281,12 @@ group_by(model) %>% # Group by model or other relevant columns
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fill(field, sub_field, .direction = "downup") %>% # Fill down then up within each group
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fill(field, sub_field, .direction = "downup") %>% # Fill down then up within each group
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ungroup()
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ungroup()
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# Check if tonnage_ha is empty
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if (all(is.na(CI_quadrant$tonnage_ha))) {
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log_message("Lacking historic harvest data, please provide for yield prediction calculation")
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knitr::knit_exit() # Exit the chunk if tonnage_ha is empty
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}
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harvesting_data <- harvesting_data %>% rename(season = year)
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harvesting_data <- harvesting_data %>% rename(season = year)
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CI_and_yield <- left_join(CI_quadrant , harvesting_data, by = c("field", "sub_field", "season")) %>% #filter(!is.na(tonnage_ha)) %>%
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CI_and_yield <- left_join(CI_quadrant , harvesting_data, by = c("field", "sub_field", "season")) %>% #filter(!is.na(tonnage_ha)) %>%
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