Assessment of bruchids density through bioacoustic detection and artificial neural network (ANN) in bulk stored chickpea and green gram-Reference-Cited by-同舟云学术

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Assessment of bruchids density through bioacoustic detection and artificial neural network (ANN) in bulk stored chickpea and green gram

Published:2020-09 Issue: Volume:88 Page:101667
ISSN:0022-474X
Container-title:Journal of Stored Products Research
language:en
Short-container-title:Journal of Stored Products Research

Author:

Banga Km. Sheetal,Kotwaliwale Nachiket,Mohapatra Debabandya,Babu V. Bhushana,Giri Saroj Kumar,Bargale Praveen Chandra

Funder

Indian Council of Agricultural Research-Central Institute of Agricultural Engineering, Bhopal

Total Project Solutions Pvt. Ltd. Bhopal (MP), India

Publisher

Elsevier BV

Subject

Horticulture,Insect Science,Agronomy and Crop Science,Food Science

Reference29 articles.

1. Techniques for insect detection in stored food grains: an overview;Banga;Food Contr.,2018

2. Bioacoustic detection of Callosobruchus chinensis and Callosobruchus maculatus in bulk stored chickpea (Cicer arietinum) and green gram (Vigna radiata);Banga;Food Contr.,2019

3. Major insects of stored foodgrains;Banga;Int. J. Chem, Stud.,2020

4. Predicting insect migration density and speed in the daytime convective boundary layer;Bell;PloS One,2013

5. Monitoring of the cowpea bruchid, Callosobruchus maculatus (Coleoptera: bruchidae), feeding activity in cowpea seeds: advances in sensing technologies reveals new insights;Bittner;J. Econ. Entomol.,2018

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