Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach
Author:
Publisher
Elsevier BV
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference41 articles.
1. Altuntaş, Y., Kocamaz, A.F., Cengiz, R., Esmeray, M., 2018a. Classification of haploid and diploid maize seeds by using image processing techniques and support vector machines. In: 2018 26th Signal Processing and Communications Applications Conference (SIU), pp. 1–4. https://doi.org/10.1109/SIU.2018.8404800.
2. Altuntaş, Y., Kocamaz, A.F., Cömert, Z., Cengiz, R., Esmeray, M., 2018b. Identification of haploid maize seeds using gray level co-occurrence matrix and machine learning techniques. In: 2018 International Conference on Artificial Intelligence and Data Processing (IDAP). Malatya, Turkey, pp. 1–5, https://doi.org/10.1109/IDAP.2018.8620740.
3. Haploid differentiation in maize kernels based on fluorescence imaging;Boote;Plant Breed.,2016
4. Melez Mısır Islahında In-Vivo Katlanmış Haploid Tekniğinde Kullanılan Farklı Inducer Genotiplerin Haploid İndirgeme Oranların Belirlenmesi;Cerit;Tarla Bitk. Merk. Araştırma Enstitüsü Derg.,2016
5. Development and validation of red root marker-based haploid inducers in maize;Chaikam;Crop Sci.,2016
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