Maximizing dataset variability in agricultural surveys with spatial sampling based on MaxVol matrix approximation

Original title

Maximizing dataset variability in agricultural surveys with spatial sampling based on MaxVol matrix approximation

Russian translation

Максимизация вариативности данных аграрных обследований посредством пространственного отбора проб на основе матричного приближения MaxVol

Translation status: source

Evidence statuses

relation_layer

D — context

relation_confidence

2 — strong

relevance_status

Included

body_status

Partial text or abstract

doi_status

Confirmed

access_status

Metadata only

expert_review

Included

verification_status

Metadata verified

Details

year

2025

type

Journal article

venue

Precision Agriculture

DOI

10.1007/s11119-024-10197-y

People

• Anna Petrovskaia
• Гасанов Михаил
• Artyom Nikitin
• Polina Tregubova
• Ivan Oseledets

Topics

• Agrotechnology
• Calibration and validation
• Experimental basis
• GIS and remote sensing
• Soil water

Sources

• Springer official record and abstract: MaxVol agricultural survey sampling, online 2024 / issue 2025

External links

• https://doi.org/10.1007/s11119-024-10197-y
• https://link.springer.com/article/10.1007/s11119-024-10197-y