Download PDFOpen PDF in browser

Geostatistical Modeling of Soil Moisture Distribution for Precision Agriculture

EasyChair Preprint 10845

5 pagesDate: September 6, 2023

Abstract

Precision agriculture relies on accurate spatial information to optimize resource allocation and enhance crop productivity. This paper presents a comprehensive study on the application of geostatistical modeling for characterizing and mapping soil moisture distribution—a critical factor influencing agricultural practices. Through a detailed exploration of geostatistical techniques, data acquisition, preprocessing, and validation methods, we demonstrate how geostatistical modeling can contribute to informed decision-making in precision agriculture. Real-world case studies illustrate the practicality and benefits of incorporating geostatistical insights into agricultural management strategies.

Keyphrases: GEO, Statical, spatial

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:10845,
  author    = {Alia Johnson and Fatima Tahir},
  title     = {Geostatistical Modeling of Soil Moisture Distribution for Precision Agriculture},
  howpublished = {EasyChair Preprint 10845},
  year      = {EasyChair, 2023}}
Download PDFOpen PDF in browser