A survey towards decision support system on smart irrigation scheduling using machine learning approaches

MK Saggi, S Jain - Archives of computational methods in engineering, 2022 - Springer
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 …

Exploring interpretable and non-interpretable machine learning models for estimating winter wheat evapotranspiration using particle swarm optimization with limited …

X Zhao, L Zhang, G Zhu, C Cheng, J He… - … and Electronics in …, 2023 - Elsevier
Accurate estimation of crop evapotranspiration (ETc) is crucial for improving the water use
efficiency and designing and operating irrigation systems. To accurately calculate winter …

Modeling long-term dynamics of crop evapotranspiration using deep learning in a semi-arid environment

A Elbeltagi, J Deng, K Wang, A Malik… - Agricultural Water …, 2020 - Elsevier
Crop evapotranspiration (ET c) is one of the most basic components of the hydrologic cycle
that is effective in irrigation system design and management, water resources planning and …

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 **ng, 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 …

A reinforced random forest model for enhanced crop yield prediction by integrating agrarian parameters

D Elavarasan, PMDR Vincent - Journal of Ambient Intelligence and …, 2021 - Springer
The development in technology and science has contributed to a vast volume of data from
various agrarian fields to be aggregated in the public domain. Predicting the crop yield …

Optimization of an extreme learning machine model with the sparrow search algorithm to estimate spring maize evapotranspiration with film mulching in the semiarid …

Y Jia, Y Su, R Zhang, Z Zhang, Y Lu, D Shi, C Xu… - … and Electronics in …, 2022 - Elsevier
Evapotranspiration (ET) is the crucial parameter of agricultural irrigation and the
hydrological cycle. To obtain the optimal estimation model of ET with film-mulching for spring …

Evaluation of artificial intelligence algorithms with sensor data assimilation in estimating crop evapotranspiration and crop water stress index for irrigation water …

A Katimbo, DR Rudnick, J Zhang, Y Ge… - Smart Agricultural …, 2023 - Elsevier
Irrigation water management using automated irrigation decision support system (IDSS) as a
smart irrigation scheduling tool can improve water use efficiency and crop production …

Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factors

A Jaafari, S Janizadeh, HG Abdo… - Journal of …, 2022 - Elsevier
Complex interrelationships between landscape-level geoenvironmental factors and natural
phenomena have rendered land degradation control measures ineffective. For control to be …

Artificial intelligence methods reliably predict crop evapotranspiration with different combinations of meteorological data for sugar beet in a semiarid area

SS Yamaç - Agricultural Water Management, 2021 - Elsevier
Computation of crop evapotranspiration (ET c) is a necessary for irrigation planning and
agricultural water management. However, ET c is complex and dynamic depending on many …

Application of artificial intelligence models for evapotranspiration prediction along the southern coast of Turkey

MM Hameed, MK AlOmar, SF Mohd Razali… - …, 2021 - Wiley Online Library
Reference evapotranspiration (ETo) is one of the most significant factors in the hydrological
cycle since it has a great influence on water resource planning and management …