Classification of wheat varieties with image-based deep learning
- 23 June 2023
- journal article
- research article
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 83 (4) , 9597-9619
Abstract
No abstract availableKeywords
Funding Information
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (120O226)
This publication has 48 references indexed in Scilit:
- Detection of tomatoes using spectral-spatial methods in remotely sensed RGB images captured by UAVBiosystems Engineering, 2016
- Detection of cherry tree branches with full foliage in planar architecture for automated sweet-cherry harvestingBiosystems Engineering, 2016
- A survey of deep learning methods and software tools for image classification and object detectionPattern Recognition and Image Analysis, 2016
- Identification and determination of the number of immature green citrus fruit in a canopy under different ambient light conditionsBiosystems Engineering, 2014
- Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A ReviewCritical Reviews in Food Science and Nutrition, 2012
- WheatJournal of Experimental Botany, 2009
- Near Infrared Spectroscopic Studies of Changes in Stored GrainJournal of Near Infrared Spectroscopy, 2007
- NIR spectroscopy: a rapid-response analytical toolTrAC Trends in Analytical Chemistry, 2002
- Detection of Grain Weevils inside Single Wheat Kernels by a Very near Infrared Two-Wavelength ModelJournal of Near Infrared Spectroscopy, 1999
- Wheat breeding for end-product use1997