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Convolutional Neural Networks for Rice Yield Estimation Using MODIS and Weather Data: A Case Study for South Korea
- Source :
- Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 34:525-534
- Publication Year :
- 2016
- Publisher :
- Korean Society of Surveying, Geodesy, Photogrammetry and Cartolography, 2016.
- Subjects :
- Estimation
010504 meteorology & atmospheric sciences
Artificial neural network
Meteorology
Yield (finance)
0211 other engineering and technologies
02 engineering and technology
01 natural sciences
Convolutional neural network
Geography
Remote sensing (archaeology)
Weather data
General Earth and Planetary Sciences
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 15984850
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
- Accession number :
- edsair.doi...........cb5217c653c76528b5b4bcf57443aab6
- Full Text :
- https://doi.org/10.7848/ksgpc.2016.34.5.525