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Mazza Marco

Professeur HES associé

Main skills

Professeur HES associé

Phone: +41 26 429 65 59

Haute école d'ingénierie et d'architecture de Fribourg
Boulevard de Pérolles 80, 1700 Fribourg, CH

Institute
iPrint - Institut de printing

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2021

Identifying general stress in commercial tomatoes based on machine learning applied to plant electrophysiology

Scientifique ArODES

Najdenovska Elena, Dutoit Fabien, Tran Daniel, Rochat Antoine, Vu Basile, Mazza Marco, Camps Cédric, Plummer Carrol, Wallbridge Nigel, Raileanu Laura Elena

Applied Sciences, 2021, vol. 11, no. 5640

Link to the publication

Summary:

Automated monitoring of plant health is becoming a crucial component for optimizing agricultural production. Recently, several studies have shown that plant electrophysiology could be used as a tool to determine plant status related to applied stressors. However, to the best of our knowledge, there have been no studies relating electrical plant response to general stress responses as a proxy for plant health. This study models general stress of plants exposed to either biotic or abiotic stressors, namely drought, nutrient deficiencies or infestation with spider mites, using electrophysiological signals acquired from 36 plants. Moreover, in the signal processing procedure, the proposed workflow reuses information from the previous steps, therefore considerably reducing computation time regarding recent related approaches in the literature. Careful choice of the principal parameters leads to a classification of the general stress in plants with more than 80% accuracy. The main descriptive statistics measured together with the Hjorth complexity provide the most discriminative information for such classification. The presented findings open new paths to explore for improved monitoring of plant health.

2019

Electrophysiological assessment of plant status outside a Faraday cage using supervised machine learning

Scientifique ArODES

Tran Daniel, Dutoit Fabien, Najdenovska Elena, Wallbridge Nigel, Plummer Carrol, Mazza Marco, Raileanu Laura Elena, Camps Cédric

Scientific Reports, 2019, vol. 9, art. no. 17073

Link to the publication

Summary:

Living organisms have evolved complex signaling networks to drive appropriate physiological processes in response to changing environmental conditions. Amongst them, electric signals are a universal method to rapidly transmit information. In animals, bioelectrical activity measurements in the heart or the brain provide information about health status. In plants, practical measurements of bioelectrical activity are in their infancy and transposition of technology used in human medicine could therefore, by analogy provide insight about the physiological status of plants. This paper reports on the development and testing of an innovative electrophysiological sensor that can be used in greenhouse production conditions, without a Faraday cage, enabling real-time electric signal measurements. The bioelectrical activity is modified in response to water stress conditions or to nycthemeral rhythm. Furthermore, the automatic classification of plant status using supervised machine learning allows detection of these physiological modifications. This sensor represents an efficient alternative agronomic tool at the service of producers for decision support or for taking preventive measures before initial visual symptoms of plant stress appear.

2014

A direct printed passive RFID sensor for content aware drug bottles

Scientifique

Johannes Renner, Marco Mazza, Pierluigi Civera, Fritz Bircher

Advances in Print and Media Technology 41 (Iarigai 2014), 2014 , vol. 41, no 1, pp. 85-89

Link to the publication

Summary:

Lack of compliance with regard to medical prescriptions has become a major cause of treatment failure, a problem
particularly faced in the aging population. In order to aid patients in taking their medication properly, various
products for solid drugs like electronic pill organizers have recently appeared on the market whereas there is a lack of
effective solutions for liquid drugs. In this paper, a novel direct printed RF sensor for drug bottles is presented as a
low-cost solution, which can be used for monitoring liquid medication. The fully-printed, single layer metal sensor has
been realized on the top of a polyethylene bottle, acting as a resonant LC tank, which can be read remotely. Resonant
frequency drifts proportionally to the liquid content, since the distributed capacitance value is affected by the per-
mitivity of the liquid.

The demonstrator presented in this article shows an impressive sensitivity up to 316 kHz/mL, resulting in a cost-
efficient and viable solution to detect content variation in the order of sub - milliliters.

2019

Insights of plant electrophysiology :

Conference ArODES

using signal processing techniques and machine learning algorithms to associate tomatoes reaction to external stimuli

Fabien Dutoit, Laura Elena Raileanu, Marco Mazza

Proceedings of ROeS: 31st Conference of the International Biometric Society of the Austro-Swiss Region, 9-12 September 2019, Lausanne, Switzerland

Link to the publication

2018

Low power analog frontend for ISFET sensor readout

Conference ArODES

Marco Mazza

Proceedings of IMCS 2018, 17th International Meeting on Chemical Sensors , 15-19 July 2018, Vienna, Austria

Link to the publication

Summary:

A low power analog frontend (AFE) for Ion-Sensitive Field effect Transistor sensor readout is presented. The AFE is demonstrated with off-the-shelf components. It includes a biasing circuit to bias an ISFET sensor, a noise rejecting current readout circuit, and a sigma-delta analog to digital converter. The digital output can be interpreted by a simple counter to acquire the ion-concentration in a drop of liquid on top of the calibrated ISFET sensor. A PH sensing experiment is performed to validate the AFE. Total power consumption is less than 40 µW with 1.8 V supply.

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Mazza Marco

Professeur HES associé

Main skills

ASIC and FPGA design

Microsystems

Sensors

RFID

Professeur HES associé