564   Artículos

 
en línea
Vanessa de Arruda Souza, Débora Regina Roberti, Anderson Luis Ruhoff, Tamíres Zimmer, Daniela Santini Adamatti, Luis Gustavo G. de Gonçalves, Marcelo Bortoluzzi Diaz, Rita de Cássia Marques Alves and Osvaldo L. L. de Moraes    
Evapotranspiration (ET) is an important component of the hydrological cycle. Understanding the ET process has become of fundamental importance given the scenario of global change and increasing water use, especially in the agricultural sector. Determinin... ver más
Revista: Water    Formato: Electrónico

 
en línea
Barbara Wisniowska-Kielian, Barbara Filipek-Mazur and Florian Gambus    
The study aimed to compare the effect of urea fatty fraction (UFF) and Pulrea® (urea fertilizer) on plant yield and selected plant and soil parameters determined after the plants were harvested. UFF is a by-product of essential unsaturated fatty acids (U... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Zhongwei Wei, Yuzhu Zhang and Wenyu Jin    
Super high-yielding rice (SHYR) (>15 t ha-1) plays a crucial role in global food production and security. We hypothesized that the external environment of different ecological regions could improve biomass accumulation in different periods and thus incre... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Partha S. Biswas, R. Santelices, Rhulyx Mendoza, Vitaliano Lopena, Juan D. Arbelaez, Norvie L. Manigbas, Joshua N. Cobb, Bertrand Collard and Mohammad Rafiqul Islam    
The pedigree, bulk, and single-seed descent-based rapid generation advance methods are commonly practiced breeding methods in rice. But the efficiency of these breeding methods in enhancing genetic gain has not been investigated yet. In this study, we co... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Eduard Angelats, Alban Gorreja, Pedro F. Espín-López, M. Eulàlia Parés, Eva Savina Malinverni and Roberto Pierdicca    
The seamless integration of indoor and outdoor positioning has gained considerable attention due to its practical implications in various fields. This paper presents an innovative approach aimed at detecting and delineating outdoor, indoor, and transitio... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Fouad Achkouty, Richard Chbeir, Laurent Gallon, Elio Mansour and Antonio Corral    
The proliferation of sensor and actuator devices in Internet of things (IoT) networks has garnered significant attention in recent years. However, the increasing number of IoT devices, and the corresponding resources, has introduced various challenges, p... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Amanda M. Nelson, Mahesh L. Maskey, Brian K. Northup and Daniel N. Moriasi    
Recently, the Agricultural Policy Extender (APEX) model was enhanced with a grazing module, and the modified grazing database, APEXgraze, recommends sustainable livestock farming practices. This study developed a combinatorial deterministic approach to c... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Ancilon Leuch Alencar, Marcelo Dornbusch Lopes, Anita Maria da Rocha Fernandes, Julio Cesar Santos dos Anjos, Juan Francisco De Paz Santana and Valderi Reis Quietinho Leithardt    
In the current era of social media, the proliferation of images sourced from unreliable origins underscores the pressing need for robust methods to detect forged content, particularly amidst the rapid evolution of image manipulation technologies. Existin... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Arturs Kempelis, Inese Polaka, Andrejs Romanovs and Antons Patlins    
Urban agriculture presents unique challenges, particularly in the context of microclimate monitoring, which is increasingly important in food production. This paper explores the application of convolutional neural networks (CNNs) to forecast key sensor m... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Ilia Zaznov, Julian Martin Kunkel, Atta Badii and Alfonso Dufour    
This paper introduces a novel deep learning approach for intraday stock price direction prediction, motivated by the need for more accurate models to enable profitable algorithmic trading. The key problems addressed are effectively modelling complex limi... ver más
Revista: Applied Sciences    Formato: Electrónico

« Anterior     Página: 1 de 37     Siguiente »