Authors: Vignesh Rajendran, Fuji Jian, Paul G. Fields, Digvir S. Jayas
Identifier: CSBE21446
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Published in: CSBE-SCGAB Technical Conferences » 5th CIGR and AGM Quebec City 2021 » World Congress on Computers in Agriculture and Natural Resources

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Description: Insects cause enormous damage and economic losses to grains in storage. There are over 100 species that infest stored products and most of these insects are found in most countries. The notable exception is the khapra beetle, Trogoderma granarium (Everts) (Coleoptera: Dermestidae). It causes extensive damage to stored grains in the hot dry areas of the Middle East and the Indian sub-continent and is mainly controlled using the fumigant phosphine or various contact insecticides. But it is absent in North and South America, Australia and China where it is a closely regulated quarantine insect. The USA was able to eradicate it in 1960 at the cost of US$100 million in 2016 dollars. Therefore, it would be very useful to be able to predict the development of this costly pest. The primary factors influencing the population demographics of khapra beetle are time, temperature and relative humidity. These factors were used to develop the mathematical models to predict the mortality of the beetles. The predicted mortalities were validated and were close to the data in the literature.

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Date: 2021-06-11
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Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: World Congress on Computers in Agriculture and Natural Resources (WCCA 2)

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Type: Text.Abstract
Publication type: Presentation
Coverage: Canada
Language 1: en
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Rights: Canadian Society for Bioengineering
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