Operational sampling designs for poorly accessible areas based on a multi-objective optimization method-Reference-Cited by-同舟云学术

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Operational sampling designs for poorly accessible areas based on a multi-objective optimization method

Published:2024-05 Issue: Volume:445 Page:116888
ISSN:0016-7061
Container-title:Geoderma
language:en
Short-container-title:Geoderma

Author:

Dumont Maxime^ORCID,Brunel Guilhem^ORCID,Tresson Paul,Nespoulous Jérôme^ORCID,Boukcim Hassan,Ducousso Marc^ORCID,Boivin Stéphane^ORCID,Taugourdeau Olivier,Tisseyre Bruno

Funder

Agence nationale de la recherche

Publisher

Elsevier BV

Reference62 articles.

1. Soil mapping, digital soil mapping and soil monitoring over large areas and the dimensions of soil security – A review;Arrouays;Soil Security,2021

2. A generic fuzzy approach for multi-objective optimization under uncertainty;Bahri;Swarm Evol. Comput.,2018

3. Pymoo: Multi-Objective Optimization in Python;Blank;IEEE Access,2020

4. Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents;Bouasria;Eco. Inform.,2023

5. Random Forests;Breiman;Mach. Learn.,2001

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