Soybean Pod Morphology Classification Based on Machine Vision and Convolutional Neural Network-Reference-Cited by-同舟云学术

Soybean Pod Morphology Classification Based on Machine Vision and Convolutional Neural Network

Published:2022-12-13 Issue:1 Volume:48 Page:26-35
ISSN:1738-1266
Container-title:Journal of Biosystems Engineering
language:en
Short-container-title:J. Biosyst. Eng.

Author:

Yu Xiao,Gong Qi,Chen Cong,Lu Lina

Funder

This Project “Research on the interdisciplinary theory, method and application of plant phenotype data management” supported by Shandong Provincial Natural Science Foundation

the National Social Science Fund of China

Scientific Research Foundation for Ph.D. of Shandong University of Technology

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Mechanical Engineering,Engineering (miscellaneous),Agricultural and Biological Sciences (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s42853-022-00174-6.pdf

Reference16 articles.

1. Abade, A., Ferreira, P. A., & de Barros Vidal, F. (2021). Plant diseases recognition on images using convolutional neural networks: A systematic review. Computers and Electronics in Agriculture, 185, 106125. https://doi.org/10.1016/j.compag.2021.106125

2. Aboneh, T., Rorissa, A., Srinivasagan, R., & Gemechu, A. (2021). Computer vision framework for wheat disease identification and classification using Jetson GPU infrastructure. Technologies, 9(3), 47. https://doi.org/10.3390/technologies9030047

3. Heltin Genitha, C., Sowmya, M., & Sri, T. (2020). Comparative analysis for the detection of marine vessels from satellite images using FCM and marker-controlled watershed segmentation algorithm. Journal of the Indian Society of Remote Sensing, 48, 1207–1214. https://doi.org/10.1007/s12524-020-01148-x

4. Hema, L. K., Babu, D. V., Navaneetharajan, A., Vijayakumar, K., & Dhayanithi, S. (2021). Agriculture resources for plant-leaf disease identification using deep learning techniques. Journal of Physics: Conference Series, 1964(6), 062027. https://doi.org/10.1088/1742-6596/1964/6/062027

5. Jiang, F. Q., Li, C., Yu, D. W., Sun, M., & Zhang, E. B. (2019). Soybean disease detection system based on convolutional neural network under Caffe framework. Acta Agriculturae Zhejiangensis, 31(7), 1177–1183. https://doi.org/10.3969/j.issn.1004-1524.2019.07.19