New machine learning models that predict the performance of seed varieties in particular conditions

cg.contributor.crp	Big Data
cg.coverage.country	Mexico
cg.coverage.iso3166-alpha2	MX
cg.coverage.region	Central America
cg.number	IN-1460	en
dc.contributor.author	CGIAR Platform for Big Data in Agriculture	en
dc.date.accessioned	2022-10-06T14:14:51Z	en
dc.date.available	2022-10-06T14:14:51Z	en
dc.identifier.uri	https://hdl.handle.net/10568/122958
dc.title	New machine learning models that predict the performance of seed varieties in particular conditions	en
dcterms.abstract	Demonstrated a method for prediction of seed performance under different conditions to inform risk/productivity decision making in seed selection.	en
dcterms.accessRights	Open Access
dcterms.bibliographicCitation	CGIAR Platform for Big Data in Agriculture. 2019. New machine learning models that predict the performance of seed varieties in particular conditions. Reported in Platform for Big Data in Agriculture Annual Report 2019. Innovations.	en
dcterms.isPartOf	CRP Innovation	en
dcterms.issued	2019-12-31
dcterms.language	en
dcterms.license	Other
dcterms.subject	models	en
dcterms.subject	productivity	en
dcterms.subject	varieties	en
dcterms.subject	decision making	en
dcterms.subject	seed	en
dcterms.subject	development	en
dcterms.subject	selection	en
dcterms.subject	rural development	en
dcterms.subject	learning	en
dcterms.subject	risk	en
dcterms.subject	systems	en
dcterms.subject	agrifood systems	en
dcterms.subject	machine learning	en
dcterms.subject	prediction	en
dcterms.subject	seed development	en
dcterms.type	Report

Files

Now showing 1 - 1 of 1