Semantic Scholar Open Access 2017 262 sitasi

Deep Learning for Plant Identification in Natural Environment

Yu Sun Yuan Liu Guan Wang Haiyan Zhang

Lihat Sumber DOI

Abstrak

Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental plant species in Beijing Forestry University campus. A 26-layer deep learning model consisting of 8 residual building blocks is designed for large-scale plant classification in natural environment. The proposed model achieves a recognition rate of 91.78% on the BJFU100 dataset, demonstrating that deep learning is a promising technology for smart forestry.

Topik & Kata Kunci

Computer Science Medicine

Penulis (4)

Yu Sun

Yuan Liu

Guan Wang

Haiyan Zhang

Format Sitasi

APA MLA BibTeX

Sun, Y., Liu, Y., Wang, G., Zhang, H. (2017). Deep Learning for Plant Identification in Natural Environment. https://doi.org/10.1155/2017/7361042

Akses Cepat

Lihat di Sumber doi.org/10.1155/2017/7361042

Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Total Sitasi: 262×
Sumber Database: Semantic Scholar
DOI: 10.1155/2017/7361042
Akses: Open Access ✓