Detection of the granary weevil based on X-ray images of damaged wheat kernels

Author:

Boniecki P.,Piekarska-Boniecka H.,Świerczyński K.,Koszela K.,Zaborowicz M.,Przybył J.

Publisher

Elsevier BV

Subject

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

Reference26 articles.

1. The application of internal grading system technologies for agricultural products – review;Alfatni;J. Food Eng.,2013

2. Detection of Rhyzopertha dominica larvae in stored wheat using ELISA: the impact of myosin degradation following fumigation;Atui;J. Stored Prod. Res.,2007

3. Artificial neural networks for modeling ammonia emissions released from sewage sludge composting;Boniecki;Atmos. Environ.,2012

4. Neural networks type MLP in the process of identification chosen varieties of maize;Boniecki,2011

5. Neural image analysis of maturity stage during composting of sewage sludge;Boniecki,2009

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