Rice Seedling Image Classification Using Light Convolutional Neural Network
The need for food, especially rice, continues to increase. Therefore, a production increase of around 70% is required to meet the demand. In this case, supervision and care of rice from planting must be carried out efficiently, which can be done by deep learning, namely Convolutional Neural Networks...
Saved in:
Main Authors: | Hermawan, Indra, Agustin, Maria, Arnaldy, Defiana |
---|---|
格式: | UMS Journal (OJS) |
语言: | eng |
出版: |
Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia
2023
|
主题: | |
在线阅读: | https://journals.ums.ac.id/index.php/khif/article/view/20401 |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Classification of Pandavas Figure in Shadow Puppet Images using Convolutional Neural Networks
由: Supriyanti, Wiwit, et al.
出版: (2021) -
The Highest Retail Price (HET) of Subsidized Fertilizer at the Farmer’s Level in South Sumatra Rice Farming, Indonesia
由: Wildayana, Elisa, et al.
出版: (2018) -
Understanding neural networks and fuzzy logic: basic concepts and applications
由: KARTALOPOULOS, Stamatios V
出版: (1996) -
Are Rice Farming and Production in the Urban Farming Areas Still Efficient? A Stochastic Production Function Choice
由: Erissanti, Tamy, et al.
出版: (2021) -
Image-based disease detection and classification in Indian apple plant species by using deep learning
由: Wani, Sidrah Fayaz, et al.
出版: (2022)