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Table · dataset · 2026

<b>Leak-Free Cross-Validation Reveals an Architecture-Independent Performance Ceiling for District-Scale Maize Yield Prediction</b>

Listed in ZivaHub and Deakin Research Online and DMU Figshare and HKU DataHub and Swinburne Figshare and DaYta Ya Rona and SUNScholarData and figshare and Loughborough Research Repository and GRANTS Data and UP Research Data Repository — shown once because both records carry DOI 10.6084/m9.figshare.33727894.v5

Description

<p dir="ltr">Remote sensing for crop yield prediction. The spatial data is found at the link below:</p><p dir="ltr"><a href="kaggle.com/datasets/sokazimba/zambian-districts-datasets" target="_blank" rel="noreferrer">kaggle.com/datasets/sokazimba/zambian-districts-datasets</a></p>

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Where it is published

Catalogue records · 1

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Inferred from text
Satellite remote sensing 65%
Provenance · 11 source records, 66 field assertions
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Deakin Research Onlineoai:figshare.com:article/3372789413 d agoJSON v1
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HKU DataHuboai:figshare.com:article/3372789412 d agoJSON v1
Swinburne Figshareoai:figshare.com:article/3372789412 d agoJSON v1
DaYta Ya Ronaoai:figshare.com:article/3372789412 d agoJSON v1
SUNScholarDataoai:figshare.com:article/3372789412 d agoJSON v1
figshareoai:figshare.com:article/3372789412 d agoJSON v1
Loughborough Research Repositoryoai:figshare.com:article/3372789412 d agoJSON v1
GRANTS Dataoai:figshare.com:article/3372789411 d agoJSON v1
UP Research Data Repositoryoai:figshare.com:article/3372789411 d agoJSON v1
FieldAssertionExtractorEvidence
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