Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 117, Issue -, Pages 154-167Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compag.2015.06.019
Keywords
Apparent electrical conductivity; Integer linear programming; Remote sensing; Soil water retention; Unsupervised clustering
Ask authors/readers for more resources
This study aimed at investigating the performance of multiple irrigation zoning scenarios on a 73 ha irrigated field located in west Tennessee along the Mississippi river. Different clustering methods, including k-means, ISODATA and Gaussian Mixture, were selected. In addition, a new zoning method, based on integer linear programming, was designed and evaluated for center pivot irrigation systems with limited speed control capability. The soil available water content was used as the main attribute for zoning while soil apparent electrical conductivity (ECa), space-borne satellite images and yield data were required as ancillary data. A good agreement was observed among delineated zones by different clustering methods. The new zoning method explained up to 40% of available water content variance underneath center pivot irrigation systems. The ECa achieved the highest Kappa coefficient (=0.79) among ancillary attributes, hence exhibited a considerable potential for irrigation zoning. (C) 2015 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available