Geostatistical Modeling of Soil Moisture Distribution for Precision Agriculture

EasyChair Preprint no. 10845

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, spatial, Statical

@Booklet{EasyChair:10845,
  author = {Alia Johnson and Fatima Tahir},
  title = {Geostatistical Modeling of Soil Moisture Distribution for Precision Agriculture},
  howpublished = {EasyChair Preprint no. 10845},

  year = {EasyChair, 2023}}