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Ultrasonic Sensing of Plant Water Needs for Agriculture

Authors :
Eustaquio Gil-Pelegrín
M.D. Fariñas
Tomas Gomez Alvarez-Arenas
José Javier Peguero-Pina
David Alejandro Collazos Burbano
Domingo Sancho-Knapik
Joao Luis Ealo Cuello
Consejo Superior de Investigaciones Científicas (España)
European Science Foundation
CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
Source :
Sensors (Basel, Switzerland), Digital.CSIC. Repositorio Institucional del CSIC, instname, Sensors, Vol 16, Iss 7, p 1089 (2016), Sensors; Volume 16; Issue 7; Pages: 1089
Publication Year :
2016
Publisher :
MDPI, 2016.

Abstract

Fresh water is a key natural resource for food production, sanitation and industrial uses and has a high environmental value. The largest water use worldwide (~70%) corresponds to irrigation in agriculture, where use of water is becoming essential to maintain productivity. Efficient irrigation control largely depends on having access to reliable information about the actual plant water needs. Therefore, fast, portable and non-invasive sensing techniques able to measure water requirements directly on the plant are essential to face the huge challenge posed by the extensive water use in agriculture, the increasing water shortage and the impact of climate change. Non-contact resonant ultrasonic spectroscopy (NC-RUS) in the frequency range 0.1–1.2 MHz has revealed as an efficient and powerful non-destructive, non-invasive and in vivo sensing technique for leaves of different plant species. In particular, NC-RUS allows determining surface mass, thickness and elastic modulus of the leaves. Hence, valuable information can be obtained about water content and turgor pressure. This work analyzes and reviews the main requirements for sensors, electronics, signal processing and data analysis in order to develop a fast, portable, robust and non-invasive NC-RUS system to monitor variations in leaves water content or turgor pressure. A sensing prototype is proposed, described and, as application example, used to study two different species: Vitis vinifera and Coffea arabica, whose leaves present thickness resonances in two different frequency bands (400–900 kHz and 200–400 kHz, respectively), These species are representative of two different climates and are related to two high-added value agricultural products where efficient irrigation management can be critical. Moreover, the technique can also be applied to other species and similar results can be obtained.<br />Work of Domingo Sancho Knapik is supported by a DOC INIA contract co-funded by INIA and ESF. We acknowledge support by the CSIC Open Access Publication Initiative through its Unit of Information Resources for Research (URICI).

Details

Language :
English
ISSN :
14248220
Volume :
16
Issue :
7
Database :
OpenAIRE
Journal :
Sensors (Basel, Switzerland)
Accession number :
edsair.doi.dedup.....b601ff90838b906f57b16381efaa26fa