In this work, an exhaustive revision is given of the literature associated with advanced information and communication technologies in agriculture within a window of 25 years using bibliometric tools enabled to detect of the main actors, structure, and dynamics in the scientific papers. The main findings are a trend of growth in the dynamics of publications associated with advanced information and communication technologies in agriculture productivity. Another assertion is that countries, like the USA, China, and Brazil, stand out in many publications due to allocating more resources to research, development, and agricultural productivity. In addition, the collaboration networks between countries are frequently in regions with closer cultural and idiomatic ties; additionally, terms’ occurrence are obtained with Louvain algorithm predominating four clusters: precision agriculture, smart agriculture, remote sensing, and climate smart agriculture. Finally, the thematic-map characterization with Callon’s density and centrality is applied in three periods. The first period of thematic analysis shows a transition in detecting the variability of a nutrient, such as nitrogen, through the help of immature georeferenced techniques, towards greater remote sensing involvement. In the transition from the second to the third stage, the maturation of technologies, such as unmanned aerial vehicles, wireless sensor networks, and the machine learning area, is observed.
This article focuses on the analysis of the behavior patterns of the variables involved in the anaerobic digestion process. The objective is to predict the impact factor and the behavior pattern of the variables, i.e., temperature, pH, volatile solids (VS), total solids, volumetric load, and hydraulic residence time, considering that these are the control variables for the conservation of the different groups of anaerobic microorganisms. To conduct the research, samples of physicochemical sludge were taken from a water treatment plant in a poultry processing factory, and, then, the substrate was characterized, and a thermal pretreatment was used to accelerate the hydrolysis process. The anaerobic digestion process was analyzed in order to obtain experimental data of the control variables and observe their impact on the production of biogas. The results showed that the thermal pre-hydrolysis applied at 90°C for 90 min accelerated the hydrolysis phase, allowing a significant 52% increase in the volume of methane produced. An artificial neural network was developed, and it was trained with the database obtained by monitoring the anaerobic digestion process. The results obtained from the artificial neural network showed that there is an adjustment between the real values and the prediction of validation based on 60 samples with a 96.4% coefficient of determination, and it was observed that the variables with the major impact on the process were the loading rate and VS, with impact factors of 36% and 23%, respectively.
The Pipeline Transport System (PTS) is a means of land and marine transport, reliable in the oil sector as well as in various industries, considering its economy and speed to transport a product. The instability of this system, though, currently takes several variables, which directly affect the Mechanical Integrity (MI) of the same, due to the imminent internal and external formation of the phenomenon classified as Corrosion (C). To address this problem, Fault Tolerance Control Techniques (FTCS), Global Positioning Systems (GPS) and Artificial Intelligence (AI), are useful tools to deal with uncertainty and minimize subjectivity, through system modeling. That will allow the identification, control and timely monitoring of risk factors. During the last 30 years, important contributions on corrosion to pipelines in the oil and gas industry have been published. This document aims to build a Systematic Literary Review (SLR), from an integrative perspective, recognizing various studies in the periods 1987-2018, analyzing 245 documents, from three posts previously not addressed together within the context of corrosion to PTS, offering an apology if any document relevant to the subject was excluded from the work. Findings about the topics of analysis, discussions and future lines of research are described. Keywords: Fault-Tolerant Control Systems (FTCS) Geo location System (GPS), Artificial Intelligence (IA), Corrosion (C), Pipeline Transport System in oil industry (PTS), Mechanical Integrity (MI).
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