ULTIMO AGGIORNAMENTO BANCA DATI: 13/09/2024 13:00:57
Antibiotics pose potential ecological risks in the water environment, necessitating their effective removal by reliable technologies. Adsorption is a conventional process to remove such chemicals from water without byproducts. However, finding cheap adsorbents with satisfactory performance is still ...
HIV latency in resting CD4+ T cell represents a key barrier preventing cure of the infection with antiretroviral drugs alone. Latency reversing agents (LRAs) can activate HIV expression in latently infected cells, potentially leading to their elimination through virus-mediated cytopathic effects, host ...
A novel visible-light-driven nano-Bi2MoO6/calcined mussel shell (CMS) photocatalyst composite was designed and synthesised by a facile hydrothermal method and characterised by X-ray diffraction, Fourier-transform infrared spectroscopy, scanning electron microscopy, transmission electron microscopy, ...
The accurate predicting trend of dissolved oxygen (DO) can reduce the risk of aquaculture, so a combined non-linear prediction model based on empirical wavelet transform (EWT) and extreme learning machine (ELM) optimized by particle swarm optimization (PSO) is proposed. First of all, DO series are decomposed ...
Revitalization of local cities is one of the major issues for Japan. Recently foreign tourists visiting Japan have increased, and its economic ripple effect is great. However, in big cities and local cities, there is a big difference in the inbound market. To solve the problem, it is necessary to think ...
With an increasing number of remotely sensed sensors acquired multi-spectral images over several separate wavelength ranges at various spectral resolutions, many sharpening techniques were developed to improve the lower spatial resolution imagery to become a same high spatial resolution multispectral ...
Traditional fish image classification process is complex and cumbersome, and traditional classification is lack in accuracy. Using convolutional neural networks to identify fish requires a large amount of sample which often gives rise to difficultly. Based on the convolutional neural network model, ...
The farming of aquatic organisms, such as fish, shrimp and mollusks has experienced considerable growth during the past 30 years. In this study, we present a method for the derivation of aquaculture ponds from high resolution SAR time series data and its potential for the approximation of aquaculture ...
This paper presents water quality monitoring IoT Beat Sensors. The interval times of ID code transmitted wirelessly from Beat Sensor nodes correspond to amount of salinity, water levels, and pH, so that receivers can acquire these parameters from many sensor nodes in agriculture and aquaculture fields. ...
In this paper, we share our experience of the deployment of a sensor network. This sensor network was deployed at the Aquaculture and Aquatic Biodiversity Research Unit (UR-ABAQ) at NAZI BONI University. The deployed sensors - permanently monitor the pH, dissolved oxygen and water temperature of a clarias ...
In the aquaponic's system, maintenance water temperature and water value of pH is very important to make sure fish and plant grow well. The purpose of this research is to make a monitoring system of water temperature and water value of pH in aquaponic's system. It also adds controlling system to keep ...
Aquatic products safety traceability system construction and improvement is one of the effective ways to ensure the safety of aquatic products. With the concept of Supply and Demand Network Management and characteristics of aquatic products, this paper studies the aquatic products safety traceability ...
Remote sensing of the marine coastal environment is useful for obtaining information about processes occurring within it. Monitoring has traditionally been carried out in situ, before investment increased in remote techniques such as manned planes and satellites. This paper proposes the use of remotely ...
Rice accounts for over 20% of the global calorie supply, yet no maps exist that quantify rice paddy acreage with a regular cadence. Efforts to date have focused on classifying paddy fields either locally or regionally, and methods to do this have varied, with no agreed upon best approach. Here, we aim ...
The importance of big geospatial data hosted on cloud environments is constantly growing. Main reasons are the rapid increase in volume of remote sensing data, the trend to persistently store and share more in-situ data at higher sampling rates, and the reduced management overhead of data hosted on ...
This study explored the feasibility of mapping the canopy closures of mangrove forest in the Mekong Delta of Vietnam using Sentinel-2 multispectral composite image. Forest canopy closures were determined in accordance with the level of volume stocks. A method of object-based support vector machine classifier ...
Monitoring the marine aquaculture plays an important role in the management of marine fisheries, and also provides a valid method to evaluate the expansion intensity of the mariculture. In this context, different periods (2003, 2005, 2008, 2011, 2013, 2014 and 2016) of Landsat satellite data were collected ...
The growing number of spatiotemporal datasets is an essential driver for bio-economy. Interoperability is needed to ensure efficient use of these data and had been addressed by standardization institutions, such as OGC and AIMS. Both of them promote the use of Semantic Web standards (e.g., GeoSPArql) ...
This study is focused on presenting a methodology for estimating Total Suspended Solids (TSS) over two key strategic sites in SW Iberian Peninsula. The dataset used includes multi-temporal Landsat-8 and Sentinel-2A imagery during 2016. The application of the effective ACOLITE processor and the high ...