scispace - formally typeset
J

J. Kathirvelan

Researcher at VIT University

Publications -  11
Citations -  104

J. Kathirvelan is an academic researcher from VIT University. The author has contributed to research in topics: Ripening & Ethylene. The author has an hindex of 4, co-authored 10 publications receiving 66 citations.

Papers
More filters
Journal ArticleDOI

Ethylene detection using TiO2–WO3 composite sensor for fruit ripening applications

TL;DR: In this paper, a chemo-resistive sensor based on TiO2-WO3 composite material was developed to detect and estimate ethylene released from the fruit ripening process to ensure food safety.
Journal ArticleDOI

An infrared based sensor system for the detection of ethylene for the discrimination of fruit ripening

TL;DR: In this article, an IR thermal source tuned to the 10.6µm wavelength was linked to a high-sensitivity silicon temperature detector for detecting the ethylene level released during the fruit ripening process.
Journal ArticleDOI

Development of Prototype Laboratory Setup for Selective Detection of Ethylene Based on Multiwalled Carbon Nanotubes

TL;DR: A prototype laboratory setup for detecting ethylene (C2H4) in ppm level employing a sensor made of multiwalled carbon nanotubes of 40 nm average tube diameter that exhibits a better performance than those reported earlier (1.8%) and it has got the rise and fall time of 10 s and 60’s, respectively.
Proceedings ArticleDOI

Development of low cost automatic wheelchair controlled by oral commands using standalone controlling system

TL;DR: Development of automatic voice activated low cost wheelchair using intelligent standalone controlling system and Interfaces (Embedded LabVIEW and Compact Reconfigurable Input/Output FPGA Card-cRIO-9074) for physically impaired people is presented.
Journal ArticleDOI

Review on sensitive and selective ethylene detection methods for fruit ripening application

TL;DR: In this article, a review of various laboratory-based and portable methods evolved in recent times for sensitive and selective detection of ethylene for fruit-ripening application, focusing on types of sensors, fabrication methods and signal conditioning circuits for various applications.