Principal component analysis as decisionsupport tool in Agriculture for factors-yield relations

J. Jesus, T. Panagopoulous, D. G. Blumberg, J. Ben-Asher

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

3 Scopus citations

Abstract

Principal component analysis was used for explanation of production factors-yield relations. In this research, raster images of an organic field of wheat (Triticum turgidum var. durum), containing spatial information of several crop parameters were separated into two groups. The first group containing rasters of production factors (NO3 -, soil water content (SWC), Soil Specific Area (SSA) and Carbon flux) and a second group with yield (Leaf area Index (LAI), number, of grains per kernel, and stems; weight of 1000 grains, kernel and stems). For each group it was calculated their Principal Components (PC). The first PCs of the production factors were SWC and SSA, while for the first PCs of yield were LAI, weight of stems and kernel. Since the r2 between the PC1 of the two groups was 0.76 it was shown that SWC and SSA were the main limiting factors in the production.

Original languageEnglish
Title of host publicationCISTI 2006 - Actas da 1a Conferencia Iberica de Sistemas e Tecnologias de Informacao
EditorsMaria Manuela Cunha, Alvaro Rocha
PublisherAssociacao Iberica de Sistemas e Tecnologias de Informacao
Pages141-155
Number of pages15
ISBN (Electronic)9789892002712
StatePublished - 1 Jan 2006
Event1a Conferencia Iberica de Sistemas e Tecnologias de Informacao, CISTI 2006 - 1st Iberian Conference on Information Systems and Technologies, CISTI 2006 - Ofir, Portugal
Duration: 21 Jun 200623 Jun 2006

Publication series

NameCISTI 2006 - Actas da 1a Conferencia Iberica de Sistemas e Tecnologias de Informacao
Volume2

Conference

Conference1a Conferencia Iberica de Sistemas e Tecnologias de Informacao, CISTI 2006 - 1st Iberian Conference on Information Systems and Technologies, CISTI 2006
Country/TerritoryPortugal
CityOfir
Period21/06/0623/06/06

Keywords

  • Agriculture
  • GRASS
  • Ordinary kriging
  • Principal component analysis
  • Spatial variability

ASJC Scopus subject areas

  • Information Systems

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