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Ahmed Skhiri, Ali Ferhi, Anis Bousselmi, Slaheddine Khlifi and Mohamed A. Mattar
A correct determination of irrigation water requirements necessitates an adequate estimation of reference evapotranspiration (ETo). In this study, monthly ETo is estimated using artificial neural network (ANN) models. Eleven combinations of long-term ave...
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Hadeed Ashraf, Saliha Qamar, Nadia Riaz, Redmond R. Shamshiri, Muhammad Sultan, Bareerah Khalid, Sobhy M. Ibrahim, Muhammad Imran and Muhammad Usman Khan
Estimation of reference evapotranspiration (ETo) is a key element in water resources management and crop water requirement which, in turn, affects irrigation scheduling. ETo is subject to the influence of various climatic parameters including minimum tem...
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Michelle Irizarry-Ortiz and Eric W. Harmsen
Spatiotemporal variations in reference evapotranspiration (ETo) are sensitive to the meteorological data used in its estimation. The sensitivity of the ASCE standardized ETo equation to meteorological variables from GOES-PRWEB dataset was evaluated for t...
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Hadis Pakdel, Dev Raj Paudyal, Sreeni Chadalavada, Md Jahangir Alam and Majid Vazifedoust
The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions is ...
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Rio Arifando, Shinji Eto and Chikamune Wada
Object detection is crucial for individuals with visual impairment, especially when waiting for a bus. In this study, we propose a lightweight and highly accurate bus detection model based on an improved version of the YOLOv5 model. We propose integratin...
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Apolinario Lujano, Miguel Sanchez-Delgado and Efrain Lujano
The FAO 56 Penman?Monteith equation (PM) is considered the most accurate method for estimating reference evapotranspiration (ETo). However, PM requires a large amount of data that is not always available. Thus, the objective of this study is to improve t...
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Mustafa El-Rawy, Okke Batelaan, Nassir Al-Arifi, Ali Alotaibi, Fathy Abdalla and Mohamed Elsayed Gabr
In the coming years, climate change is predicted to impact irrigation water demand considerably, particularly in semi-arid regions. The aim of this research is to investigate the expected adverse impacts of climate change on water irrigation management i...
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Dejan Simic, Borivoj Pejic, Goran Bekavac, Ksenija Mackic, Bojan Vojnov, Ivana Bajic and Vladimir Sikora
The development of irrigation schedules based on water balance implies a study of daily plant water requirements. A properly selected irrigation method is also of most importance. The objective of this study was to find out how surface drip irrigation (S...
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Longfei Xin, Jiajia Wang and Qinghua Yang
Water deficit is a significant abiotic stress affecting crop growth and production. While many studies have indicated that salicylic acid (SA) plays a crucial role in mitigating the detrimental effects of environmental stress on plants, its mechanism reg...
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Heman Abdulkhaleq A. Gaznayee, Sara H. Zaki, Ayad M. Fadhil Al-Quraishi, Payman Hussein Aliehsan, Kawa K. Hakzi, Hawar Abdulrzaq S. Razvanchy, Michel Riksen and Karrar Mahdi
To increase agricultural productivity and ensure food security, it is important to understand the reasons for variations in irrigation over time. However, researchers often avoid investigating water productivity due to data availability challenges. This ...
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