Results 11 to 20 of about 1,222,285 (331)
The results of this study revealed that the pan evaporation and sensor based irrigation scheduling along with fertigation scheduling significantly affected the plant height, fruit weight, fruit length, crop water requirement, crop yield and water use ...
VIKAS SHARMA +5 more
doaj +2 more sources
Modelling monthly pan evaporation utilising Random Forest and deep learning algorithms. [PDF]
Evaporation is the primary aspect causing water loss in the hydrological cycle; therefore, water loss must be precisely measured. Evaporation is an intricate nonlinear process occurring as a result of several climatic aspects.
Abed M, Imteaz MA, Ahmed AN, Huang YF.
europepmc +2 more sources
In this study, 14 equations have been investigated to calculate pan-evaporation in arid and semi-arid regions (based on the De Martonne aridity index). Two indicators i.e. nRMSE and MBE, were used to analyze the results. The Kohler -Nordonson -Fox (K -N -
Mehdi Mohammadi +3 more
doaj +2 more sources
Application of long short-term memory neural network technique for predicting monthly pan evaporation. [PDF]
Evaporation is a key element for water resource management, hydrological modelling, and irrigation system designing. Monthly evaporation (Ep) was projected by deploying three machine learning (ML) models included Extreme Gradient Boosting, ElasticNet ...
Abed M, Imteaz MA, Ahmed AN, Huang YF.
europepmc +2 more sources
This study investigates the feasibility of a relevance vector machine tuned with improved Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using limited climatic input data (e.g. temperature).
R. Adnan +5 more
semanticscholar +1 more source
Modeling of pan evaporation based on the development of machine learning methods [PDF]
For the effective planning and management of water resources and the implementation of related strategies, evaporation losses must be estimated properly, especially in regions that are prone to drought. Changes in climatic factors, such as in temperature,
M. Al-Mukhtar
semanticscholar +1 more source
Deep learning versus gradient boosting machine for pan evaporation prediction
In the present study, two innovative techniques namely, Deep Learning (DL) and Gradient boosting Machine (GBM) models are developed based on a maximum air temperature ‘univariate modeling scheme’ for modeling the monthly pan evaporation (E pan) process ...
Anurag Malik +8 more
semanticscholar +1 more source
Pan evaporation is increased by submerged macrophytes [PDF]
The topic of evaporation estimates is fundamental to land-surface hydrology. In this study, FAO-56 Penman–Monteith equation (FAO56–PM), multiple stepwise regression (MLR), and Kohonen self-organising map (K–SOM) techniques were used for the estimation of
B. Simon-Gáspár, G. Soós, A. Anda
doaj +1 more source
Evaporation is a major component of both the surface energy balance and terrestrial water balance. Rapid urban development can change the climate of urban areas, which may have an impact on pan evaporation.
Defang Fan +5 more
doaj +1 more source
Precise quantification of evaporation has a vital role in effective crop modelling, irrigation scheduling, and agricultural water management. In recent years, the data-driven models using meta-heuristics algorithms have attracted the attention of ...
N. L. Kushwaha +7 more
semanticscholar +1 more source

