A weighted multivariate spatial clustering model to determine irrigation management zones
Trabajo desarrollado bajo la financiación del proyecto “Soil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems” (773903), coordinado por José Alfonso Gómez Calero, investigador del Instituto de Agricultura Sostenible (IAS)
Saved in:
Main Authors: | Ohana-Levi, Noa, Bahat, Idan, Peeters, Aviva, Shtein, Alexandra, Netzer, Yishai, Cohen, Yafit, Ben-Gal, Alon |
---|---|
Other Authors: | Ministry of Agriculture & Rural Development (Israel) |
Format: | artículo biblioteca |
Language: | English |
Published: |
Elsevier
2019-07
|
Subjects: | Precision irrigation, Machine learning, Spatial modeling, |
Online Access: | http://hdl.handle.net/10261/221520 http://dx.doi.org/10.13039/501100000780 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Delineating management zones with different yield potentials in soybean-corn and soybean-cotton production systems.
by: SPERANZA, E. A., et al.
Published: (2023-08-31) -
In-Season Interactions between Vine Vigor, Water Status and Wine Quality in Terrain-Based Management-Zones in a ‘Cabernet Sauvignon’ Vineyard
by: Bahat, Idan, et al.
Published: (2021-04-22) -
Assessing wheat genotype response under combined nitrogen and water stress scenarios coupling high-resolution optical and thermal sensors with radiative transfer models
by: Raya-Sereno, María D., et al.
Published: (2024-03-01) -
Spatiotemporal normalized ratio methodology to evaluate the impact of field-scale variable rate application
by: Katz, L., et al.
Published: (2022-03-09) -
Imputation of missing parts in UAV orthomosaics using PlanetScope and Sentinel-2 data: a case study in a grass-dominated área.
by: PEREIRA, F. R. da S., et al.
Published: (2023-01-30)