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Geostatistical Modeling of Soil Moisture Distribution for Precision Agriculture

EasyChair Preprint no. 10845

5 pagesDate: September 6, 2023


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, spatial, Statical

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Alia Johnson and Fatima Tahir},
  title = {Geostatistical Modeling of Soil Moisture Distribution for Precision Agriculture},
  howpublished = {EasyChair Preprint no. 10845},

  year = {EasyChair, 2023}}
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