MATEC Web Conf.
Volume 119, 2017The Fifth International Multi-Conference on Engineering and Technology Innovation 2016 (IMETI 2016)
|Number of page(s)||5|
|Published online||04 August 2017|
- The Smart Agri-management Platform (S.A.M.P., http://shennong.ideas.iii.org.tw/SAMP/) [Google Scholar]
- A. Kross, H. McNairn, D. Lapen, M. Sunohara, and C. Champagne, Assessment of rapid eye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops, International Journal of Applied Earth Observation and Geoinformation, 34, 235-248 (2015) [CrossRef] [Google Scholar]
- Y.H. Peng, C.S. Hsu, and P.C. Huang, Harvest forecasting with environmental information for cucumbers cultivated in net houses, Journal of Advanced Agricultural Technologies, 2, 83-87 (2015) [Google Scholar]
- Y.H. Peng, C.S. Hsu, P.C. Huang, and Y.D. Wu, An effective wavelength utilization for spectroscopic analysis on orchid chlorophyll measurement, Proc. of the 2014 IEEE International Conference on Automation Science and Engineering, Taipei, Taiwan, 716-721 (2014) [Google Scholar]
- P. Rischbeck, S. Elsayed, B. Mistele, G. Barmeier, K. Heil, and U. Schmidhalter, Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley, European Journal of Agronomy, 78, 44-59 (2016) [CrossRef] [Google Scholar]
- C.S. Hsu, Y.H. Peng, and P.C. Huang, Climate tracking for farmland using open data from the central weather bureau in Taiwan, Journal of Advances in Information Technology, 6, 227-232 (2015) [CrossRef] [Google Scholar]
- B. Lalic, M. Francia, J. Eitzinger, Z. Podraščanin, and Ilija Arsenić, Effectiveness of short-term numerical weather prediction in predicting growing degree days and meteorological conditions for apple scab appearance, Meteorological Applications, 23, 50-56 (2016) [CrossRef] [EDP Sciences] [Google Scholar]
- M. Knapp, Enhanced measurement of weather and climate in natural areas through integrated networks, Transactions of the Kansas Academy of Science, 119, 64-68 (2016) [CrossRef] [Google Scholar]
- H. Liu and S. Shao, India’s tea price analysis based on ARMA model, Modern Economy, 7, 118-123 (2016) [CrossRef] [Google Scholar]
- Y.H. Peng, C.S. Hsu, and P.C. Huang, Developing crop price forecasting service using open data from Taiwan markets, Proc. of the 2015 Conference on Technologies and Applications of Artificial Intelligence, Tainan, Taiwan, 172-175 (2015) [Google Scholar]
- Y.H. Peng, C.S. Hsu, P.C. Huang, An investigation of spacial approaches for crop price forecasting in different Taiwan markets, Proc. of the 2015 Conference on Technologies and Applications of Artificial Intelligence, Tainan, Taiwan, 176-179 (2015) [Google Scholar]
- The Farmlogs system (https://farmlogs.com/) [Google Scholar]
- The KisanHub system (https://www.kisanhub.com/) [Google Scholar]
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