A weighted multivariate spatial clustering model to determine irrigation management zones-Reference-Cited by-同舟云学术

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A weighted multivariate spatial clustering model to determine irrigation management zones

Published:2019-07 Issue: Volume:162 Page:719-731
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Ohana-Levi Noa,Bahat Idan,Peeters Aviva,Shtein Alexandra,Netzer Yishai,Cohen Yafit,Ben-Gal Alon

Funder

Ministry of Agriculture and Rural Development in Israel

European Union’s Horizon 2020 research and innovation programme

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference75 articles.

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4. Factorial kriging analysis leverages soil physical properties and exhaustive data to predict distinguished zones of hydraulic properties;Bevington;Comput. Electron. Agric.,2019

5. On the relation between NDVI, fractional vegetation cover, and leaf area index;Carlson;Remote Sensing Environ.,1997

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