Results 11 to 20 of about 1,222,285 (331)

Pan evaporation and sensor based approaches of irrigation scheduling for crop water requirement, growth and yield of okra

open access: yesJournal of Agrometeorology, 2021
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]

open access: yesSci Rep, 2022
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

Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic data

open access: yesJournal of Water and Climate Change, 2023
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]

open access: yesSci Rep, 2021
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

Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data

open access: yesEngineering Applications of Computational Fluid Mechanics, 2023
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]

open access: yesTheoretical and Applied Climatology, 2021
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

open access: yesEngineering Applications of Computational Fluid Mechanics, 2022
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]

open access: yesHydrology and Earth System Sciences, 2022
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

Effect of urbanization on the long-term change in pan evaporation: A case study of the Nanpan River Basin in China

open access: yesEcological Indicators, 2022
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

Data Intelligence Model and Meta-Heuristic Algorithms-Based Pan Evaporation Modelling in Two Different Agro-Climatic Zones: A Case Study from Northern India

open access: yesAtmosphere, 2021
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

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