Water Stress Detection Under High Frequency Sprinkler Irrigation with Water Deficit Index-Reference-Cited by-同舟云学术

Water Stress Detection Under High Frequency Sprinkler Irrigation with Water Deficit Index

Published:2003-02 Issue:1 Volume:129 Page:36-43
ISSN:0733-9437
Container-title:Journal of Irrigation and Drainage Engineering
language:en
Short-container-title:J. Irrig. Drain Eng.

Author:

Colaizzi Paul D.¹,Barnes Edward M.²,Clarke Thomas R.³,Choi Christopher Y.⁴,Waller Peter M.⁴,Haberland J.⁵,Kostrzewski Michael⁶

Affiliation:

1. Agricultural Engineer, Conservation and Production Research Laboratory, U.S. Dept. of Agriculture/Agricultural Research Service, P.O. Drawer 10, Bushland, TX 79012.

2. Agricultural Engineer, U.S. Water Conservation Lab., U.S. Dept. of Agriculture/Agricultural Research Service, 4331 East Broadway, Phoenix, AZ 85040.

3. Physical Scientifist, U.S. Water Conservation Lab., U.S. Dept. of Agriculture/Agricultural Research Service, 4331 East Broadway, Phoenix, AZ 85040.

4. Associate Professor, Dept. of Agricultural and Biosystems Engineering, Univ. of Arizona, Tucson, AZ 85721.

5. Research Associate, Dept. of Agricultural and Biosystems Engineering, Univ. of Arizona, Tucson, AZ 85721.

6. Research Associate and Graduate Student, Dept. of Agricultural and Biosystems Engineering, Univ. of Arizona, Tucson, AZ 85721.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Agricultural and Biological Sciences (miscellaneous),Water Science and Technology,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9437%282003%29129%3A1%2836%29

Reference27 articles.

1. Allen R. G. Pereira L. S. Raes D. and Smith M. (1998). “Crop evapotranspiration.” Irrigation and Drainage Paper No. 56 Food and Agricricultural Organization of the United Nations Rome.

2. Arizona Meterological Network (AZMET). (1999). The Arizona meteorological network 〈http://ag.arizona.edu/AZMET〉 (Oct. 15 1999).

3. An empirical approach for detecting crop water stress using multispectral airborne sensors.;Clarke T. R.;Hort. Tech.,1997

4. Colaizzi P. D. (2001). “Ground-based remote sensing for irrigation management in precision agriculture.” PhD dissertation The Univ. of Arizona Tucson Ariz.

5. Estimating Soil Moisture Under Low Frequency Surface Irrigation Using Crop Water Stress Index

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