- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 1 online resource.
- Language
-
Englisch
- Bibliographic citation
-
Sweet corn yield prediction using machine learning models and field-level data ; day:29 ; month:7 ; year:2023 ; pages:1-14
Precision agriculture ; (29.7.2023), 1-14
- Creator
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Dhaliwal, Daljeet S.
Williams, Martin M.
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1007/s11119-023-10057-1
- URN
-
urn:nbn:de:101:1-2023103111381088625822
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:52 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dhaliwal, Daljeet S.
- Williams, Martin M.
- SpringerLink (Online service)
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Fertilization influence on biomass yield and nutrient uptake of sweet corn in potentially hardsetting soil under no tillage
ESTIMATING CORN YIELD IN THE UNITED STATES WITH MODIS EVI AND MACHINE LEARNING METHODS
Effect of Climate on Photovoltaic Yield Prediction Using Machine Learning Models
Introgression of the RppQ gene from field corn improves southern rust resistance in sweet corn
Oil yield prediction for sunflower hybrid selection using different machine learning algorithms
Determination of Selection Criterions for Sweet Corn Using Path Coefficient Analyses
Early yield prediction in different grapevine varieties using computer vision and machine learning
Prediction of pasture yield using machine learning-based optical sensing: a systematic review
Prediction of pest pressure on corn root nodes: the POPP-Corn model
Evidence of sweet corn yield losses from rising temperatures
Long-Term Yield Prediction of Greenhouse Sweet Pepper Crops
Assessment of plant growth promoting bacteria strains on growth, yield and quality of sweet corn
Fertilization influence on biomass yield and nutrient uptake of sweet corn in potentially hardsetting soil under no tillage
ESTIMATING CORN YIELD IN THE UNITED STATES WITH MODIS EVI AND MACHINE LEARNING METHODS
Effect of Climate on Photovoltaic Yield Prediction Using Machine Learning Models
Introgression of the RppQ gene from field corn improves southern rust resistance in sweet corn
Oil yield prediction for sunflower hybrid selection using different machine learning algorithms
Determination of Selection Criterions for Sweet Corn Using Path Coefficient Analyses
Early yield prediction in different grapevine varieties using computer vision and machine learning
Prediction of pasture yield using machine learning-based optical sensing: a systematic review