Modeling spatial data for precision agriculture and remote sensing

Yufeng Ge, J. A. Thomasson, C. L.S. Morgan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The rapid advancement of sensor and information technologies enables the collection of voluminous spatial data in precision agriculture. On the other hand, the modeling and analysis of spatial data for better management decision making is somewhat lagging behind, in particular at the large-scale production level. In this paper, two spatial datasets were analyzed and compared using three modeling approaches, namely, ordinary least squares (OLS), residual maximum likelihood (REML) geostatistics, and spatial simultaneous autoregressive model (SSAR). The two datasets were collected from a research farm in Texas, USA and a commercial field in Mississippi, USA. Procedures to preprocess and merge different data layers into a common spatial resolution and support were described in detail. The results showed that model parameters estimated by REML and SSAR agreed well with each other, both deviating substantially from OLS estimates. Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) suggested that REML and SSAR had a better overall fit of data than OLS. Leave-one-out cross validation showed that REML predicted soil properties more accurately than OLS. For magnesium, the R2 value increased from 0.46 to 0.80; and for clay, the R2 value increased from 0.22 to 0.34. As more and more spatial data will be collected for precision agriculture, spatial data analysis should be employed by researchers and farmers as a primary means for data modeling, prediction, and decision-making.

Original languageEnglish (US)
Title of host publicationPrecision Agriculture 2011 - Papers Presented at the 8th European Conference on Precision Agriculture 2011, ECPA 2011
EditorsJohn V. Stafford
PublisherCzech Centre for Science and Society
Pages437-448
Number of pages12
ISBN (Electronic)9788090483057
StatePublished - 2011
Externally publishedYes
Event8th European Conference on Precision Agriculture 2011, ECPA 2011 - Prague, Czech Republic
Duration: Jul 11 2011Jul 14 2011

Publication series

NamePrecision Agriculture 2011 - Papers Presented at the 8th European Conference on Precision Agriculture 2011, ECPA 2011

Conference

Conference8th European Conference on Precision Agriculture 2011, ECPA 2011
Country/TerritoryCzech Republic
CityPrague
Period7/11/117/14/11

Keywords

  • Cotton
  • GIS
  • Geostatistics
  • Spatial analysis
  • Spatial econometrics

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Computer Science Applications

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