218   Artículos

 
en línea
Davide Fronzi, Gagan Narang, Alessandro Galdelli, Alessandro Pepi, Adriano Mancini and Alberto Tazioli    
Forecasting of water availability has become of increasing interest in recent decades, especially due to growing human pressure and climate change, affecting groundwater resources towards a perceivable depletion. Numerous research papers developed at var... ver más
Revista: Water    Formato: Electrónico

 
en línea
Aymane Ahajjam, Jaakko Putkonen, Emmanuel Chukwuemeka, Robert Chance and Timothy J. Pasch    
Local weather forecasts in the Arctic outside of settlements are challenging due to the dearth of ground-level observation stations and high computational costs. During winter, these forecasts are critical to help prepare for potentially hazardous weathe... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Shih-Lun Fang, Yi-Shan Lin, Sheng-Chih Chang, Yi-Lung Chang, Bing-Yun Tsai and Bo-Jein Kuo    
The reference evapotranspiration (ET0) information is crucial for irrigation planning and water resource management. While the Penman-Monteith (PM) equation is widely recognized for ET0 calculation, its reliance on numerous meteorological parameters cons... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Carlos Alejandro Perez Garcia, Marco Bovo, Daniele Torreggiani, Patrizia Tassinari and Stefano Benni    
The escalating global population and climate change necessitate sustainable livestock production methods to meet rising food demand. Precision Livestock Farming (PLF) integrates information and communication technologies (ICT) to improve farming efficien... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Vasiliy Gudko, Alexander Usatov, Tatiana Minkina, Nadezhda Duplii, Kirill Azarin, Tatiana V. Tatarinova, Svetlana Sushkova, Ankit Garg and Yuri Denisenko    
Field peas are one of the most common crops and are grown in various climatic zones. However, the productivity of this crop can be largely limited by climatic factors. This study investigated the influence of climatic factors on pea grain yield in the se... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Sai Wang, Guoping Fu, Yongduo Song, Jing Wen, Tuanqi Guo, Hongjin Zhang and Tuantuan Wang    
The development of intelligent oceans requires exploration and an understanding of the various characteristics of the oceans. The emerging Internet of Underwater Things (IoUT) is an extension of the Internet of Things (IoT) to underwater environments, an... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Junting Wang, Tianhe Xu, Wei Huang, Liping Zhang, Jianxu Shu, Yangfan Liu and Linyang Li    
Underwater sound speed is one of the most significant factors that affects high-accuracy underwater acoustic positioning and navigation. Due to its complex temporal variation, the forecasting of the underwater sound speed field (SSF) becomes a challengin... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Dilip Kumar Roy, Mohamed Anower Hossain, Mohamed Panjarul Haque, Abed Alataway, Ahmed Z. Dewidar and Mohamed A. Mattar    
This study addresses the crucial role of temperature forecasting, particularly in agricultural contexts, where daily maximum (???????? T m a x ) and minimum (???????? T m i n ) temperatures significantly impact crop growth and irrigation planning. While ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Louis Closson, Christophe Cérin, Didier Donsez and Jean-Luc Baudouin    
This paper aims to provide discernment toward establishing a general framework, dedicated to data analysis and forecasting in smart buildings. It constitutes an industrial return of experience from an industrialist specializing in IoT supported by the ac... ver más
Revista: Information    Formato: Electrónico

 
en línea
Wei Zhuang, Zhiheng Li, Ying Wang, Qingyu Xi and Min Xia    
Predicting photovoltaic (PV) power generation is a crucial task in the field of clean energy. Achieving high-accuracy PV power prediction requires addressing two challenges in current deep learning methods: (1) In photovoltaic power generation prediction... ver más
Revista: Applied Sciences    Formato: Electrónico

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