Abstract
In order to solve the problem of how to irrigate and fertilize in farmland on rainy days, an intelligent fertilization strategy based on integration of soil moisture and forecast rainfall is designed in this paper. According to crop growth period, total amount of irrigation and fertilization is calculated by using soil moisture. Combined with meteorological forecast, amount of water for irrigation is compensated by forecast rainfall, which can provide a fertilization strategy for crop in its different growth periods. And it will provide technical support for development of irrigation and fertilization integrated machine in future.
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References
Ni, B., Liu, M., Lü, S., Xie, L., Wang, Y.: Multifunctional slow-release organic–inorganic compound fertilizer. J. Agric. Food Chem. 59(1011), 999–10175 (2011)
Piao, S., Ciais, P., Huang, Y., Shen, Z., Peng, S., Li, J., Zhou, L., Liu, H., Ma, Y., Ding, Y., Friedlingstein, P., Liu, C., Tan, K., Yu, Y., Zhang, T., Fang, J.: The impacts of climate change on water resources and agriculture in China. Nature 467, 43–51 (2010)
Tilman, D., Cassman, K.G., Matson, P.A., Naylor, R., Polasky, S.: Agricultural sustainability and intensive production practices. Nature 218, 671–677 (2002)
Vassilev, N., Vassileva, M., Fenice, M., Federici, F.: Immobilized cell technology applied in solubilization of insoluble inorganic (rock) phosphates and P plant acquisition. Bioresour. Technol. 79, 263–273 (2001)
Mathew, A.I., Kumar, R.: Drip irrigation management system using WSN combined with IOT and cloud computing methodologies. Softw. Eng. Technol. 7(4), 103–109 (2015)
El Bakia, H.M.A., Fujimakia, H., Tokumotob, I., Saito, T.: A new scheme to optimize irrigation depth using a numerical model of crop response to irrigation and quantitative weather forecasts. Comput. Electron. Agric. 150, 387–393 (2018)
Delgoda, D., Malano, H., Saleem, S.K., Halgamuge, M.N.: Irrigation control based on model predictive control (MPC): formulation of theory and validation using weather forecast data and AQUACROP model. Environ. Model. Softw. 99(78), 40–53 (2011)
Sang, X., Wang, D., Yu, Z.: Effects of subsoiling and harrowing on water consumption characteristics and grain yield of winter wheat under condition of supplemental irrigation. J. Triticeae Crop. 34(9), 1239–1244 (2014)
Li, J., Hong, T., Feng, R., et al.: Design and experiment of automatic mixing apparatus for liquid fertilizer based on fuzzy control. Trans. Chinese Soc. Agric. Eng. 29(11.99), 22–30 (2013)
Deng, L., Tu, P., Zhang, C., Li, Z., Lai, Z.: Application model of fertigation technology in hilly region. Guangdong Agric. Sci. 39(09), 67–69 (2012)
Fang, W., Liu, R., Deng, T.: Study on reasonable soil moisture indexes of growth and development for winter wheat. Chinese J. Agrometeorol. 31(S1), 73–76 (2010)
Wang, C.: Irrigation and Drainage Engineering, pp. 61–62. China Water Conservancy and Hydropower Publishing House, Beijing (2014)
Xu, X., Zhang, X., Dai, E., Song, W.: Variation trend of precipitation intensity and its influence on precipitation in China from 1961 to 2010. Geogr. Res. 33(07), 1335–1347 (2014)
Acknowledgements
The work is supported by Major Agricultural Applied Technology Innovation Project of Shandong province in 2015 and Key Research and Development Project of Shandong province in 2017 (grant no. 2017CXGC0206).
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Liu, L., Li, Y., Hao, M., Liu, X., Yang, K., Yuan, J. (2019). Intelligent Fertilization Strategy Based on Integration of Soil Moisture and Forecast Rainfall. In: Wang, K., Wang, Y., Strandhagen, J., Yu, T. (eds) Advanced Manufacturing and Automation VIII. IWAMA 2018. Lecture Notes in Electrical Engineering, vol 484. Springer, Singapore. https://doi.org/10.1007/978-981-13-2375-1_76
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DOI: https://doi.org/10.1007/978-981-13-2375-1_76
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