Development of a Low-Cost Electronic Nose for Detection of Pathogenic Fungi and Applying It to Fusarium oxysporum and Rhizoctonia solani
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Development of a Low-Cost Electronic Nose for Detection of Pathogenic Fungi and Applying It to Fusarium oxysporum and Rhizoctonia solani
Authors
Keywords
-
Journal
SENSORS
Volume 21, Issue 17, Pages 5868
Publisher
MDPI AG
Online
2021-09-01
DOI
10.3390/s21175868
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Application of a Low-Cost Electronic Nose for Differentiation between Pathogenic Oomycetes Pythium intermedium and Phytophthora plurivora
- (2021) Piotr Borowik et al. SENSORS
- Development of compact electronic noses: a review
- (2021) Lu Cheng et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Detection and identification of fungal species by electronic nose technology: A systematic review
- (2021) Inês Mota et al. Fungal Biology Reviews
- Electronic Nose Differentiation between Quercus robur Acorns Infected by Pathogenic Oomycetes Phytophthora plurivora and Pythium intermedium
- (2021) Piotr Borowik et al. MOLECULES
- Biocontrol by Fusarium oxysporum Using Endophyte-Mediated Resistance
- (2020) Francisco J. de Lamo et al. Frontiers in Plant Science
- The Effectiveness of Varroa destructor Infestation Classification Using an E-Nose Depending on the Time of Day
- (2020) Andrzej Szczurek et al. SENSORS
- Development of a low-cost e-nose to assess aroma profiles: An artificial intelligence application to assess beer quality
- (2020) Claudia Gonzalez Viejo et al. SENSORS AND ACTUATORS B-CHEMICAL
- Multi gas sensors using one nanomaterial, temperature gradient, and machine learning algorithms for discrimination of gases and their concentration
- (2020) Nguyen Xuan Thai et al. ANALYTICA CHIMICA ACTA
- Odor Detection Using an E-Nose With a Reduced Sensor Array
- (2020) Piotr Borowik et al. SENSORS
- Development of a Low-Cost Portable Electronic Nose for Cigarette Brands Identification
- (2020) Zhiyuan Wu et al. SENSORS
- Assessment of Smoke Contamination in Grapevine Berries and Taint in Wines Due to Bushfires Using a Low-Cost E-Nose and an Artificial Intelligence Approach
- (2020) Sigfredo Fuentes et al. SENSORS
- Detection of Fungi and Oomycetes by Volatiles Using E-Nose and SPME-GC/MS Platforms
- (2020) Jérémie Loulier et al. MOLECULES
- An active method of online drift-calibration-sample formation for an electronic nose
- (2020) Tao Liu et al. MEASUREMENT
- Wine quality rapid detection using a compact electronic nose system: Application focused on spoilage thresholds by acetic acid
- (2019) Juan C. Rodriguez Gamboa et al. LWT-FOOD SCIENCE AND TECHNOLOGY
- Electronic noses in classification and quality control of edible oils: A review
- (2018) Tomasz Majchrzak et al. FOOD CHEMISTRY
- Plant Pest Detection Using an Artificial Nose System: A Review
- (2018) Shaoqing Cui et al. SENSORS
- Response Optimization of a Chemical Gas Sensor Array using Temperature Modulation
- (2018) Cristhian Durán et al. Electronics
- DFT based classification of olive oil type using a sinusoidally heated, low cost electronic nose
- (2018) Martin J. Oates et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Current status of Fusarium oxysporum formae speciales and races
- (2018) Véronique Edel-Hermann et al. PHYTOPATHOLOGY
- Sensor Array Optimization of Electronic Nose for Detection of Bacteria in Wound Infection
- (2017) Hao Sun et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Potential Applications and Limitations of Electronic Nose Devices for Plant Disease Diagnosis
- (2017) et al. SENSORS
- Temperature Modulated Gas Sensing E-Nose System for Low-Cost and Fast Detection
- (2016) Xin Yin et al. IEEE SENSORS JOURNAL
- Classification of garlic cultivars using an electronic nose
- (2015) Suchin Trirongjitmoah et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Optimal Sensor Selection for Classifying a Set of Ginsengs Using Metal-Oxide Sensors
- (2015) Jiacheng Miao et al. SENSORS
- Electronic Nose Feature Extraction Methods: A Review
- (2015) Jia Yan et al. SENSORS
- An active, inverse temperature modulation strategy for single sensor odorant classification
- (2015) Fernando Herrero-Carrón et al. SENSORS AND ACTUATORS B-CHEMICAL
- A novel sensor selection using pattern recognition in electronic nose
- (2014) Lei Zhang et al. MEASUREMENT
- MITEs in the promoters of effector genes allow prediction of novel virulence genes in Fusarium oxysporum
- (2013) Sarah M Schmidt et al. BMC GENOMICS
- VOCs classification based on the committee of classifiers coupled with single sensor signals
- (2013) Andrzej Szczurek et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Diverse Applications of Electronic-Nose Technologies in Agriculture and Forestry
- (2013) Alphus Wilson SENSORS
- A Compact and Low Cost Electronic Nose for Aroma Detection
- (2013) Miguel Macías et al. SENSORS
- “Artificial sniffing” based on induced temporary disturbance of gas sensor response
- (2013) Andrzej Szczurek et al. SENSORS AND ACTUATORS B-CHEMICAL
- Recognition of complex odors with a single generic tin oxide gas sensor
- (2013) Faramarz Hossein-Babaei et al. SENSORS AND ACTUATORS B-CHEMICAL
- Exploitation of a low-cost electronic system, designed for low-conductance and wide-range measurements, to control metal oxide gas sensors with temperature profile protocols
- (2012) A. Ponzoni et al. SENSORS AND ACTUATORS B-CHEMICAL
- Temperature optimization of metal oxide sensor arrays using Mutual Information
- (2012) Jordi Fonollosa et al. SENSORS AND ACTUATORS B-CHEMICAL
- An LDA based sensor selection approach used in breath analysis system
- (2011) Dongmin Guo et al. SENSORS AND ACTUATORS B-CHEMICAL
- Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium
- (2010) Li-Jun Ma et al. NATURE
- Development of a Portable Electronic Nose System for the Detection and Classification of Fruity Odors
- (2010) Kea-Tiong Tang et al. SENSORS
- Intelligent method for sensor subset selection for machine olfaction
- (2010) Ekachai Phaisangittisagul et al. SENSORS AND ACTUATORS B-CHEMICAL
- Sensor Selection for Machine Olfaction Based on Transient Feature Extraction
- (2008) Ekachai Phaisangittisagul et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started