Early Detection of Mold-Contaminated Peanuts Using Machine Learning and Deep Features Based on Optical Coherence Tomography

Fungal infection is a pre-harvest and post-harvest crisis for farmers of peanuts. In environments with temperatures around 28 °C to 30 °C or relative humidity of approximately 90%, mold-contaminated peanuts have a considerable likelihood to be infected with Aflatoxins. Aflatoxins are known to be hig...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	AgriEngineering
المؤلفون الرئيسيون:	Edwin Manhando, Yang Zhou, Fenglin Wang
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2021-09-01
الموضوعات:	aflatoxin peanut deep features deep convolutional neural network optical coherence tomography support vector machine
الوصول للمادة أونلاين:	https://www.mdpi.com/2624-7402/3/3/45