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Toward Smart Soil Sensing in v4.0 Agriculture: A New Single-Shape Sensor for Capacitive Moisture and Salinity Measurements.
Escriba, Christophe; Aviña Bravo, Eli Gabriel; Roux, Julien; Fourniols, Jean-Yves; Contardo, Michel; Acco, Pascal; Soto-Romero, Georges.
Affiliation
  • Escriba C; Laboratory for Analysis and Architecture of Systems, LAAS, University of Toulouse, F-31077 Toulouse, France.
  • Aviña Bravo EG; Laboratory for Analysis and Architecture of Systems, LAAS, University of Toulouse, F-31077 Toulouse, France.
  • Roux J; Laboratory for Analysis and Architecture of Systems, LAAS, University of Toulouse, F-31077 Toulouse, France.
  • Fourniols JY; Laboratory for Analysis and Architecture of Systems, LAAS, University of Toulouse, F-31077 Toulouse, France.
  • Contardo M; TeleCommunications Services & Distribution, TCSD, 82000 Montauban, France.
  • Acco P; Laboratory for Analysis and Architecture of Systems, LAAS, University of Toulouse, F-31077 Toulouse, France.
  • Soto-Romero G; Laboratory for Analysis and Architecture of Systems, LAAS, University of Toulouse, F-31077 Toulouse, France.
Sensors (Basel) ; 20(23)2020 Nov 30.
Article in En | MEDLINE | ID: mdl-33266335
ABSTRACT
Modern agriculture imposes the need for better knowledge of the soil moisture content to rationalize the amount of water needed to irrigate farmlands. In this context, since current technological solutions do not correspond to the cost or use criteria, this paper presents a design for a new original capacitive bi-functional sensor to measure soil moisture and salinity. In this paper, we outline the design stages from simulation to finished elements of the optimal design to deployment in the fields, considering the mechanical integration constraints necessary for industrialization. The measurement electronics were developed based on the sensor's electric model to obtain a double measurement. An on-site (field lot) measurement program was then carried out to validate the system's good performance in real-time. Finally, this performance was matched with that of leading commercially available sensors on the market. This work demonstrates that, after deployment of the sensors, the overall system makes it possible to obtain a precise image of cultivated soil's hydric condition, with the best response time.
Key words

Full text: 1 Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2020 Type: Article Affiliation country: France

Full text: 1 Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2020 Type: Article Affiliation country: France