A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Reference Evapotranspiration (ET o) is a complex, dynamic and non-linear hydrological
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
Recent advances in evapotranspiration estimation using artificial intelligence approaches with a focus on hybridization techniques—a review
Difficulties are faced when formulating hydrological processes, including that of
evapotranspiration (ET). Conventional empirical methods for formulating these possess …
evapotranspiration (ET). Conventional empirical methods for formulating these possess …
Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates …
Accurate estimation of reference evapotranspiration (ET 0) is of great importance for the
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …
Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms
Hybrid heuristic algorithm (HA), an innovative technique in the machine learning field,
enhances the accuracy of reference evapotranspiration (ETo) prediction, which is of …
enhances the accuracy of reference evapotranspiration (ETo) prediction, which is of …
Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling
Y Feng, N Cui, D Gong, Q Zhang, L Zhao - Agricultural Water Management, 2017 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is of importance for regional
water resource management. The present study proposed two artificial intelligence models …
water resource management. The present study proposed two artificial intelligence models …
Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning
Over the last decade, the combination of both big data and machine learning research
area's receiving considerable attention and expedite the prospect of the agricultural industry …
area's receiving considerable attention and expedite the prospect of the agricultural industry …
Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data
Accurate estimation of reference evapotranspiration (ET 0) is essential to agricultural water
management. The present study developed two artificial intelligence models for daily ET 0 …
management. The present study developed two artificial intelligence models for daily ET 0 …
Forecast of short-term daily reference evapotranspiration under limited meteorological variables using a hybrid bi-directional long short-term memory model (Bi-LSTM)
J Yin, Z Deng, AVM Ines, J Wu, E Rasu - Agricultural Water Management, 2020 - Elsevier
As the standard method to compute reference evapotranspiration (ET 0), Penman-Monteith
(PM) method requires eight meteorological input variables, which makes it difficult to apply …
(PM) method requires eight meteorological input variables, which makes it difficult to apply …
CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China
Y Zhang, Z Zhao, J Zheng - Journal of Hydrology, 2020 - Elsevier
Establishing a computational model for accurate prediction of reference crop
evapotranspiration (ET 0) is critical for regional water resources planning and irrigation …
evapotranspiration (ET 0) is critical for regional water resources planning and irrigation …
A survey towards decision support system on smart irrigation scheduling using machine learning approaches
From last decade, Big data analytics and machine learning is a hotspot research area in the
domain of agriculture. Agriculture analytics is a data intensive multidisciplinary problem. Big …
domain of agriculture. Agriculture analytics is a data intensive multidisciplinary problem. Big …