Results 1 to 10 of about 209,700 (208)

Utilizing E-nose for detection of mealybug infestation and ripeness of durian [PDF]

PeerJ
Background Mealybugs are major pests that cause sap loss and can significantly reduce the quality and market value of durian fruits. Early detection is essential for effective pest management.
Chun-I Chiu, Thanchanok Yosen, Supatchaya Nampila, Jetsada Posom, Piyawan Suttiprapan, Yuwatida Sripontan   +5 more
doaj   +3 more sources

Early Detection of Monilinia laxa in Yellow-Fleshed Peach Using a Non-Destructive E-Nose Approach [PDF]

Foods
This study evaluated the performance of an electronic nose (E-nose) system for the early detection of fungal spoilage in yellow-fleshed peach (Prunus persica cv. ‘Carla’).
Ana Martínez, Alejandro Hernández, Patricia Arroyo, Jesús Lozano, María de Guía Córdoba, Alberto Martín   +5 more
doaj   +2 more sources

Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination: A review

Artificial Intelligence in Agriculture, 2020
Background: An e-nose or an e-tongue is a group of gas sensors or chemical sensors that simulate human nose or human tongue. Both e-nose and e-tongue have shown great promise and utility in improving assessments of food quality characteristics compared ...
Juzhong Tan, Jie Xu
exaly   +3 more sources

Application of the E-Nose as a Non-Destructive Technique in the Early Detection of Monilinia laxa on Plum (Prunus domestica L.) [PDF]

Sensors
This study investigated the ability of an electronic nose system (E-nose) to detect early signs of fungal contamination in the red plum variety ‘Black Splendor’. We focused on identifying changes in volatile organic compounds (VOCs) that occur with decay.
Ana Martínez, Alejandro Hernández, Patricia Arroyo, Jesús S. Lozano, Alberto Martín, María de Guía Córdoba   +5 more
doaj   +2 more sources

Development of an E-Nose System for the Early Diagnosis of Sepsis During Mechanical Ventilation: A Porcine Feasibility Study [PDF]

Sensors
Sepsis is a severe systemic condition due to an extreme response of the body to an infection. It is responsible for a significant number of deaths worldwide, and is still difficult to diagnose early.
Stefano Robbiani, Louwrina H. te Nijenhuis, Patricia A. C. Specht, Emanuele Zanni, Carmen Bax, Egbert G. Mik, Floor A. Harms, Willem van Weteringen, Laura Capelli, Raffaele L. Dellacà   +9 more
doaj   +2 more sources

Chemoresistive materials for electronic nose: Progress, perspectives, and challenges

Informační Materiály, 2019
An electronic nose (e‐nose) is a device that can detect and recognize odors and flavors using a sensor array. It has received considerable interest in the past decade because it is required in several areas such as health care, environmental monitoring ...
Yeon Hoo Kim, Tae Hoon Eom, Soo Young Kim   +2 more
exaly   +2 more sources

Combining e-nose and e-tongue for improved recognition of instant starch noodles seasonings

Frontiers in Nutrition, 2023
Seasonings play a key role in determining sensory attributes of instant starch noodles. Controlling and improving the quality of seasoning is becoming important.
Rong Ma, Huishan Shen, Hao Cheng, Guoquan Zhang, Jianmei Zheng   +4 more
doaj   +1 more source

Implementasi Electrinic Nose Dan Support Vector Machine Pada Aplikasi Olfactory Mobile Robot Dalam Mengenali Gas

Jurnal Nasional Teknik Elektro, 2018
The aroma of gas can be perceived by the human sense of smell. The presence of the scent comes from the gas source itself or the gas leaks through cracks such as valves or pipe connections.
Rendyansyah - Rendyansyah, Aditya P.P. Prasetyo, Kemahyanto Exaudi   +2 more
doaj   +3 more sources

Early Detection of Aphid Infestation and Insect-Plant Interaction Assessment in Wheat Using a Low-Cost Electronic Nose (E-Nose), Near-Infrared Spectroscopy and Machine Learning Modeling

Sensors, 2021
Advances in early insect detection have been reported using digital technologies through camera systems, sensor networks, and remote sensing coupled with machine learning (ML) modeling.
Sigfredo Fuentes, Eden Tongson, Ranjith R. Unnithan, Claudia Gonzalez Viejo   +3 more
doaj   +1 more source

E-nose application to food industry production [PDF]

IEEE Instrumentation & Measurement Magazine, 2016
Food companies worldwide must constantly engage in product development to stay competitive, cover existing markets, explore new markets, and meet key consumer requirements. This ongoing development places high demands on achieving quality at all levels, particularly in terms of food safety, integrity, quality, nutrition, and other health effects.
Chilo, Jose, Pelegrí Sebastiá, José|||0000-0002-7392-3178, Cupane, María, Sogorb Devesa, Tomás C.   +3 more
openaire   +2 more sources