Your Location:
Home >
Browse articles >
Classification method of agricultural land quality based on back-propagation neural network and support vector machine
Classification method of agricultural land quality based on back-propagation neural network and support vector machine
- Journal of China Agricultural University Vol. 23, Issue 12, (2018)
DOI: 10.11841/j.issn.1007-4333.2018.12.17
Scan QR Code
Full Text(HTML)
References
Publication Info
Metrics
24
Views
8
Downloads
6
CSCD
Alert me when the article has been cited
Submit
Tools
- BibTeXDownload
- EndnoteDownload
- RefMan Download
- NoteExpressDownload
- NoteFirstDownload
Related Articles
Assessment of China’s new productivity in grain production: Regional differences, dynamic evolution, and driving factors
Development of a comprehensive stress resistance identification system during japonica rice germination stage and germplasm screening germination stage
Research progress on the application of artificial intelligence in fish breeding
Construction path of new quality productive forces for tourism-oriented traditional villages through spatial production
Comprehensive evaluation of drought resistance in 197 winter wheat germplasms
Related Author
No data
Related Institution
No data


