Author:
Shin Jaemyung,Chang Young K.,Heung Brandon,Nguyen-Quang Tri,Price Gordon W.,Al-Mallahi Ahmad
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference48 articles.
1. Genetic characterization of five powdery mildew disease resistance loci in Arabidopsis thaliana;Adam;Plant J.,1996
2. Alom, M. Z., Taha, T. M., Yakopcic, C., Westberg, S., Sidike, P., Nasrin, M. S., ... & Asari, V. K. (2018). The history began from alexnet: A comprehensive survey on deep learning approaches. arXiv preprint arXiv:1803.01164.
3. Asad, M. H., & Bais, A., 2019. Weed Detection in Canola Fields Using Maximum Likelihood Classification and Deep Convolutional Neural Network. Information Processing in Agriculture.
4. Benchmark analysis of representative deep neural network architectures;Bianco;IEEE Access,2018
5. Bressem, K.K., Adams, L., Erxleben, C., Hamm, B., Niehues, S., & Vahldiek, J., 2020. Comparing Different Deep Learning Architectures for Classification of Chest Radiographs. arXiv preprint arXiv:2002.08991.
Cited by
99 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献