Monitoring water status in apple trees using a sensitive morning crop water stress index*-Reference-Cited by-同舟云学术

Monitoring water status in apple trees using a sensitive morning crop water stress index*

Published:2020-10-02 Issue:1 Volume:70 Page:27-41
ISSN:1531-0353
Container-title:Irrigation and Drainage
language:en
Short-container-title:Irrig and Drain.

Author:

Mohamed Abdelmoneim Z.¹²^ORCID,Osroosh Yasin³,Peters R. Troy¹,Bates Travis⁴,Campbell Colin S.⁴,Ferrer‐Alegre Francesc⁴

Affiliation:

1. Department of Biological Systems Engineering Washington State University WA USA

2. Agricultural Engineering Research Institute (AEnRI) Agricultural Research Centre Giza Egypt

3. DurUntash Lab LLC. San Diego CA USA

4. METER Group, Inc. Pullman WA USA

Publisher

Wiley

Subject

Soil Science,Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ird.2528

Reference63 articles.

1. Stem water potential estimation of drip-irrigated early-maturing peach trees under Mediterranean conditions

2. An insight to the performance of crop water stress index for olive trees

3. Determination of Crop Water Stress Index and Irrigation Timing on Olive Trees Using a Handheld Infrared Thermometer

4. Estimating crop coefficients from fraction of ground cover and height

5. Allen R.G. Pereira L.S Raes D.andSmith M.(1998).Crop evapotranspiration. Guidelines for computing crop water requirements. Irrigation and Drainage Paper No. 56. FAO Rome Italy.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Plant-based and remote sensing for water status monitoring of orchard crops: Systematic review and meta-analysis;Agricultural Water Management;2024-10

2. Combining proximal and remote sensing to assess ‘Calatina’ olive water status;Frontiers in Plant Science;2024-08-20

3. Continuous Plant-Based and Remote Sensing for Determination of Fruit Tree Water Status;Horticulturae;2024-05-16

4. Monitoring of drought stress and transpiration rate using proximal thermal and hyperspectral imaging in an indoor automated plant phenotyping platform;Plant Methods;2023-11-23

5. Combining machine learning algorithm and multi-temporal temperature indices to estimate the water status of rice;Agricultural Water Management;2023-11