A hybrid deep neural network approach to estimate reference evapotranspiration using limited climate data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06661-9.pdf
Reference72 articles.
1. Gleeson T, Wada Y, Bierkens MFP, van Beek LPH (2012) Water balance of global aquifers revealed by groundwater footprint. Nature 488:197–200. https://doi.org/10.1038/nature11295
2. Fischer G, Tubiello FN, van Velthuizen H, Wiberg DA (2007) Climate change impacts on irrigation water requirements: Effects of mitigation, 1990–2080. Technol Forecast Soc Change 74:1083–1107. https://doi.org/10.1016/j.techfore.2006.05.021
3. Dhillon R, Rojo F, Upadhyaya SK et al (2019) Prediction of plant water status in almond and walnut trees using a continuous leaf monitoring system. Precis Agric 20:723–745. https://doi.org/10.1007/s11119-018-9607-0
4. Gu Z, Qi Z, Ma L et al (2017) Development of an irrigation scheduling software based on model predicted crop water stress. Comput Electron Agric 143:208–221. https://doi.org/10.1016/j.compag.2017.10.023
5. Jones HG (2004) Irrigation scheduling: advantages and pitfalls of plant-based methods. J Exp Bot 55:2427–2436. https://doi.org/10.1093/jxb/erh213
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