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dc.contributor.authorHall, Avice
dc.contributor.authorBo, Liu
dc.contributor.authorWileman, Hannah
dc.date.accessioned2021-08-18T14:26:54Z
dc.date.available2021-08-18T14:26:54Z
dc.date.issued2021-07-23
dc.identifier.urihttp://hdl.handle.net/2299/24982
dc.description.abstractValidations of the real-time prediction system were done in 2018 on two commercial farms. The grower at Invergowrie utilised the prediction system to determine when to apply fungicides on all strawberries grown on the farm (15 ha) from March to October 2018. The conventional routine spray programme was to apply a fungicide every 14 days to control strawberry powdery mildew. Another site was at Ross-on-Wye; a strawberry crop of 2.8 ha was sprayed with fungicides guided by the web-based prediction system.Cost-benefit analyses were calculated at the end of the season based on fungicide cost and associated labour cost. For the farm near Invergowrie, on the everbearer crop, by following the prediction system this has given a saving of £275.68 per hectare; on the June bearer crop at the same site, of £280.76 per hectare. Similarly, comparing the costs of the prediction system to those of the routine spray programme at the site near Ross-on-Wye, the prediction system gave savings of £216.33 per hectare.Hall, A., Liu, B., & Wileman, H. (2021). 2018 Prediction system on-farm validation cost-benefit analysis [Data set].en_US
dc.language.isoenen_US
dc.publisherUniversity of Hertfordshireen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.title2018 Prediction system on-farm validation cost-benefit analysisen_US
dc.typeinfo:eu-repo/semantics/dataseten_US
dcterms.dateAccepted2021-07
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
rioxxterms.versionAMen_US
rioxxterms.versionofrecordhttps://doi.org/10.18745/ds.24904en_US
rioxxterms.licenseref.urien_US
rioxxterms.licenseref.startdate2021-07-23
rioxxterms.typeOtheren_US
herts.preservation.rarelyaccessedtrue
rioxxterms.funder.projectba3b3abd-b137-4d1d-949a-23012ce7d7b9en_US


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