arrow
Return

Closed Loop Controlled Precision Irrigation Sensor Network

delete2018-12-01
delete26
PRE
AI
L
Levente J. Klein *
H
Hendrik F. Hamann
N
Nigel Hinds
S
Supratik Guha
L
Luis Sánchez
B
B. Sams
N
Nick Dokoozlian
DOI:10.1109/JIOT.2018.2865527delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
A closed loop irrigation system is demonstrated that fully automates the delivery of irrigation and calculates the water requirement from satellite images. The system optimizes water delivery for 140 cells located across four hectares of land based on two independent objectives (e.g., maximizing yield and increasing water efficiency) and is continuously adapting irrigation scheduling to the local spatial-temporal variability of the vegetation across the growing season. Irrigation is controlled by a central computer that issues commands to 693 control nodes to start irrigation based on the analysis of satellite images. The control nodes are laid out to create 15 m x 15 m cells and each cell can be addressed independently and can irrigate differentially. After two years of operation, this variable rate drip irrigation approach resulted in a 26% yield increase in the second year and an average increase of 16% in water use efficiency. This paper demonstrates that combining closed loop automation and advanced irrigation analytics can improve the water use efficiency and increase the yield on existing agricultural lands.
Keywords:
Automation
closed control loop
device-to-device communication
information processing
Internet
sensor network
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

Organization

U
united states department of energy (doe)
Scholars:
11.3W
Papers: 9.6W
Citations: 246
I
international business machines (ibm)
Scholars:
5.7K
Papers: 4.5K
Citations: 4
I
ibm usa
Scholars:
1.4K
Papers: 1.0K
Citations: 0
researcher View more organizations
Cited Papers

Cited Papers

Within-season temporal variation in correlations between vineyard canopy and winegrape composition and yield
err2010-02-04
err116
PREAI
errHall, Andrew; Lamb, David W.; Holzapfel, Bruno P.; Louis, John P.
errShare
errSave
A segmentation algorithm for the delineation of agricultural management zones
err2010-01-01
err85
PREAI
errPedroso, Moacir; Taylor, James; Tisseyre, Bruno; Charnomordic, Brigitte; Guillaume, Serge
errShare
errSave
Organizing for Innovation in the Digitized World
err2012-10-01
err1.5K
PREAI
errYoo, Youngjin; Boland, Richard J., Jr.; Lyytinen, Kalle; Majchrzak, Ann
errShare
errSave
Are precision agriculture tools and methods relevant at the whole-vineyard scale?
err2012-05-22
err72
errOAAI
errSantesteban, L. G.; Guillaume, S.; Royo, J. B.; Tisseyre, B.
errShare
errSave
Case Reports of Sleep Phenotypes of ADHD
err2013-09-10
err0
PREAI
errSilvia Miano; Renato Donfrancesco; Pasquale Parisi; Jole Rabasco; Anna Rita Mazzotta; Alessandra Tabarrini; Ottavio Vitelli; Maria Pia Villa
errShare
errSave
A SPECIFIC COMPLEMENT-FIXING ANTIGEN PRESENT IN SV40 TUMOR AND TRANSFORMED CELLS
err1963-12-01
err0
errOAAI
errPaul H. Black; Wallace P. Rowe; Horace C. Turner; Robert J. Huebner
errShare
errSave
researcher View more