Document Type
Patent
Publication Date
6-13-2023
Abstract
An integrative computational soil mapping system and process that reduces the required number of soil property measurements without jeopardizing the statistical precision of the resulting digital soil maps. The integrative computational soil mapping system and process saves monetary resources and time by reducing the number of soil property measurements required to produce digital soil maps and by offering soil sample locations which capture the maximum amount of representativeness of the soil characteristics in a determined area. In addition, the inventive system and process are integrative computational soil mapping that utilize algorithms based on state-of-the-art computational statistics and machine learning methods for the production of digital soil property maps and also provides soil sampling locations to collect new soil property measurements. These soil property measurements can be used to update and potentially improve previous versions of digital soil property maps, produced by the computational process.
Department
Crop, Soil & Environmental Sciences
Patent Number
US11676375
Application Number
US 20220067336
Application Published
3-3-2022
Application Filed
8-30-2021
Assignee
Board of Trustees of the University of Arkansas (Little Rock, AR); United States of America as represented by the Secretary of Agriculture (Washington, DC)
Citation
Fuentes Ponce, B. A., Owens, P. R., & Dorantes, M. J. (2023). System And Process For Integrative Computational Soil Mapping. Patents Granted. Retrieved from https://scholarworks.uark.edu/pat/459
Comments
Bryan A. Fuentes Ponce, Department of Crop, Soil and Environmental Sciences, University of Arkansas, Fayetteville, AR
Phillip R. Owens, Department of Crop, Soil and Environmental Sciences, University of Arkansas, Fayetteville, AR
Minerva J. Dorantes, Department of Crop, Soil and Environmental Sciences, University of Arkansas, Fayetteville, AR