Sensor array optimization and determination of Rhyzopertha dominica infestation in wheat using hybrid neuro-fuzzy-assisted electronic nose analysis-Reference-Cited by-同舟云学术

Sensor array optimization and determination of Rhyzopertha dominica infestation in wheat using hybrid neuro-fuzzy-assisted electronic nose analysis

Published:2018 Issue:47 Volume:10 Page:5687-5695
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Mishra Gayatri¹²³^ORCID,Srivastava Shubhangi¹²³^ORCID,Panda Brajesh K.¹²³,Mishra H. N.¹²³

Affiliation:

1. Agricultural and Food Engineering Department

2. Indian Institute of Technology Kharagpur

3. India-721302

Abstract

High grain moisture and temperature provide favorable conditions for stored-grain insect reproduction and survival, which is a major threat in warmer regions.

Funder

Ministry of Human Resource Development

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2018/AY/C8AY01921E

Reference40 articles.

1. Storage Losses in Traditional Maize Granaries in Togo

2. Preliminary study of solid phase micro-extraction (SPME) as a method for detecting insect infestation in wheat grain

3. Evolution of Stored-Product Entomology: Protecting the World Food Supply

4. M. N. Sallam , Insect Damage: Damage on Postharvest , ed. AGS/FAO , International Center of Insect Physiology and Ecology , 1994 , pp. 2–37

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