Cognitive computing models for estimation of reference evapotranspiration: A review
PH Krishnashetty, J Balasangameshwara… - Cognitive Systems …, 2021 - Elsevier
Irrigation practices can be advanced by the aid of cognitive computing models. Repeated
droughts, population expansion and the impact of global warming collectively impose …
droughts, population expansion and the impact of global warming collectively impose …
Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data
SS Yamaç, M Todorovic - Agricultural Water Management, 2020 - Elsevier
Crop evapotranspiration (ET c) is a complex and non-linear process difficult to measure and
estimate accurately. This complexity can be solved applying the machine learning …
estimate accurately. This complexity can be solved applying the machine learning …
Review of artificial intelligence and internet of things technologies in land and water management research during 1991–2021: A bibliometric analysis
The challenges of urbanization, land degradation, water scarcity, and climate change are
threatening agricultural systems and food security. Therefore, it is essential to manage land …
threatening agricultural systems and food security. Therefore, it is essential to manage land …
Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso
Abstract Reference Evapotranspiration (ETo) is one of the major components of the
hydrological cycle that is very essential in water resources planning, irrigation and drainage …
hydrological cycle that is very essential in water resources planning, irrigation and drainage …
A hybrid model for streamflow forecasting in the basin of euphrates
HC Kilinc, B Haznedar - Water, 2022 - mdpi.com
River flow modeling plays a crucial role in water resource management and ensuring its
sustainability. Therefore, in recent years, in addition to the prediction of hydrological …
sustainability. Therefore, in recent years, in addition to the prediction of hydrological …
The convergence of BIM, AI and IoT: Reshaping the future of prefabricated construction
V Rangasamy, JB Yang - Journal of Building Engineering, 2024 - Elsevier
Prefabricated Construction (PC) is one of the modern construction techniques where some
components of a structure or an entire structure are manufactured in a controlled …
components of a structure or an entire structure are manufactured in a controlled …
Temperature-based modeling of reference evapotranspiration using several artificial intelligence models: application of different modeling scenarios
The establishment of an accurate computational model for predicting reference
evapotranspiration (ET 0) process is highly essential for several agricultural and …
evapotranspiration (ET 0) process is highly essential for several agricultural and …
Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for forecasting precipitation based on large-scale climate signals
B Choubin, S Khalighi-Sigaroodi… - Hydrological sciences …, 2016 - Taylor & Francis
Nowadays, mathematical models are widely used to predict climate processes, but little has
been done to compare the models. In this study, multiple linear regression (MLR), multi-layer …
been done to compare the models. In this study, multiple linear regression (MLR), multi-layer …
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 …
Simulation of daily maize evapotranspiration at different growth stages using four machine learning models in semi-humid regions of northwest China
Z Wu, N Cui, D Gong, F Zhu, L Xing, B Zhu, X Chen… - Journal of …, 2023 - Elsevier
The accurate estimation of crop evapotranspiration (ET c) is essential for precision irrigation,
optimal allocation of regional water resources, and efficiency improvement of agricultural …
optimal allocation of regional water resources, and efficiency improvement of agricultural …