Estimation of Japanese Black Calf Manure Moisture and Possibility of Classifications of Manure Score using Deep Learning
Author:
Affiliation:
1. United Graduate School of Agricultural Science, Iwate University
2. Faculty of Agriculture, Yamagata University
Publisher
Japanese Society of Farm Work Research
Subject
Applied Mathematics
Link
https://www.jstage.jst.go.jp/article/jsfwr/57/3/57_163/_pdf
Reference12 articles.
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2. Bochkovskiy, A., Wang, C., Liao, H. M. (2020): YOLOv4: Optimal Speed and Accuracy of Object Detection, https://arxiv.org/abs/2004.10934 (2021 年 2 月 16 日閲覧).
3. Huang, X., Hu, Z., Wang, X., Yang, X., Zhang, J., Shi, D. (2019): An Improved Single Shot Multibox Detector Method Applied in Body Condition Score for Dairy Cows, Animals 9(7); 470.
4. Jiang, M., Rao, Y., Zhang, J., Shen, Y. (2020): Automatic behavior recognition of group-housed goats using deep learning, Computers and Electronics in Agriculture 177; 105706.
5. Nogami, H., Okada, H., Miyamoto, T., Maeda, R., Itoh, T. (2014): Wearable Wireless Temperature Sensor Nodes Appressed to Base of a Calf’s Tail, Sensors and Materials 26(8); 539-545.
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