Development of an intelligent laser biospeckle system for early detection and classification of soybean seeds infected with seed-borne fungal pathogen (Colletotrichum truncatum)-Reference-Cited by-同舟云学术

Development of an intelligent laser biospeckle system for early detection and classification of soybean seeds infected with seed-borne fungal pathogen (Colletotrichum truncatum)

Published:2021-12 Issue: Volume:212 Page:442-457
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Singh Puneet^ORCID,Chatterjee Amit,Rajput Laxman S.,Rana Santosh,Kumar Sanjeev,Nataraj Vennampally^ORCID,Bhatia Vimal^ORCID,Prakash Shashi

Funder

Science and Engineering Research Board

Ministry of Electronics and Information technology

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference50 articles.

1. Metabolic processes during seed germination;Ali;Advances in Seed Biology,2017

2. Identification of respiration rate and water activity change in fresh-cut carrots using biospeckle laser and frequency approach;Alves;Postharvest Biology and Technology,2013

3. Data preprocessing for heart disease classification: A systematic literature review;Benhar;Computer Methods and Programs in Biomedicine,2020

4. Automated image analysis of the severity of foliar citrus canker symptoms;Bock;Plant Disease,2009

5. Detection of fungi in beans by the laser biospeckle technique;Braga;Biosystems Engineering,2005

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