Detection and prediction of Sitophilus oryzae infestations in triticale via visible and near-infrared spectral signatures
Author:
Publisher
Elsevier BV
Subject
Horticulture,Insect Science,Agronomy and Crop Science,Food Science
Reference23 articles.
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2. The susceptibility of triticale to post-harvest infestation by Sitophilus zeamais Motschulsky, Sitophilus oryzae (L.) and Sitophilus granarius (L.);Dobie;J. Stored Prod. Res.,1978
3. Automated nondestructive detection of internal insect infestation of wheat kernels by using near-infrared reflectance spectroscopy;Dowell;J. Econ. Entomology.,1998
4. Food and Agriculture Organization of the United Nations Statistics Division;FAOSTAT,2012
5. The Elements of Statistical Learning Data Mining, Inference, and Prediction;Hastie,2008
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