Development of a Machine Learning Model for Predicting Plant Traits Using High-Resolution Sensor Data from TERRA-REF

Poster presentation for Independent Research work on exploratory data analysis from multi-sensor data integration machine learning model development based on TERRA-REF data.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-05
DOI
https://doi.org/10.5281/zenodo.14813588
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Development of a Machine Learning Model for Predicting Plant Traits Using High-Resolution Sensor Data from TERRA-REF

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Development of a Machine Learning Model for Predicting Plant Traits Using High-Resolution Sensor Data from TERRA-REF

article en

Abstract

Poster presentation for Independent Research work on exploratory data analysis from multi-sensor data integration machine learning model development based on TERRA-REF data.

Zenodo (CERN European Organization for Nuclear Research)
San Antonio College (US), University of Illinois Urbana-Champaign (US)
Openalex Percentile: Top 68%
Smart Agriculture and AI
DOIOpen Access PDFOpenAlex
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Development of a Machine Learning Model for Predicting Plant Traits Using High-Resolution Sensor Data from TERRA-REF · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS