logo
ResearchBunny Logo
A data-driven crop model for maize yield prediction

Agriculture

A data-driven crop model for maize yield prediction

Y. Chang, J. Latham, et al.

This innovative research, conducted by Yanbin Chang, Jeremy Latham, Mark Licht, and Lizhi Wang, presents a novel data-driven crop model that merges process-based and data-driven methodologies to accurately predict crop yields. By analyzing extensive US Corn Belt data, this model showcases its potential in enhancing food security and aiding farmers in selecting the best seeds for their crops.

00:00
00:00
Playback language: English
Abstract
Accurate estimation of crop yield predictions is crucial for food security under climate change. This paper proposes a data-driven crop model combining process-based and data-driven modeling advantages. The model tracks daily biomass accumulation to estimate final grain yield. Using US Corn Belt data (1981-2020), the model achieved a 7.16% relative root-mean-square-error of average yield in 2020 and demonstrated the ability to detect genotype-environment interactions, potentially aiding farmers in optimizing seed selection.
Publisher
Communications Biology
Published On
Apr 21, 2023
Authors
Yanbin Chang, Jeremy Latham, Mark Licht, Lizhi Wang
Tags
crop yield prediction
data-driven modeling
biomass accumulation
food security
genotype-environment interactions
US Corn Belt
seed optimization

Related Publications

Explore these studies to deepen your understanding of the subject.

Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment
Agriculture

Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment

K. D. Sousa, J. V. Etten, et al.

A Novel Multivariable Prediction Model for Predicting [Outcome] Using a Neural Network Approach
Medicine and Health

A Novel Multivariable Prediction Model for Predicting [Outcome] Using a Neural Network Approach

A. 1. Name, A. 2. Name, et al.

Flow virometry for water-quality assessment: protocol optimization for a model virus and automation of data analysis
Engineering and Technology

Flow virometry for water-quality assessment: protocol optimization for a model virus and automation of data analysis

H. R. Safford, M. M. Johnson, et al.

Preseason maize and wheat yield forecasts for early warning of crop failure
Agriculture

Preseason maize and wheat yield forecasts for early warning of crop failure

W. Anderson, S. Shukla, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny