Predicting Maize Yields with Satellite Information

Singh Ratna, Ping Yu Hsu, You Sheng Shih, Ming Shien Cheng, Yu Chun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The United States seems to have become the primary source of global corn production and export, making corn production critical to the economic activities of many countries. Many previous studies provide yield forecasts. Ground-based telemetry via satellites has recently emerged and attempts to predict vegetation indices for yield. However, except vegetation index, we should know more about vegetation area and coverage for overall consideration. Therefore, this study uses four major corn-producing areas in the United States and related data for the past nine years for model training, including multivariate linear regression, partial least squares regression, stepwise regression, and Gaussian kernel support vector regression. The experimental results show that the support vector regression with Gaussian kernel (radial basis function kernel) performs the best, and the R2 value reaches 0.94.

Original languageEnglish
Title of host publicationIntegrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Proceedings
EditorsVan-Nam Huynh, Youji Kohda, Bac Le, Katsuhiro Honda, Masahiro Inuiguchi
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9783031467745
StatePublished - 2023
Event10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023 - Ishikawa, Japan
Duration: 2 Nov 20234 Nov 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14375 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023


  • Regression Analysis
  • Satellite Telemetry
  • Telemetry Area
  • Vegetation Index


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