1,720,958 research outputs found
Fuzzy logic-based IoT system for optimizing irrigation with cloud computing: Enhancing water sustainability in smart agriculture
No full textFaced with the growing challenges of water scarcity and the effects of climate change, intelligent irrigation management is essential to guarantee food security and promote sustainable agriculture. Traditional irrigation methods are often inefficient, waste water and expose crops to water stress. This paper proposes an innovative irrigation system integrating the Internet of Things (IoT), embedded systems, fuzzy logic and cloud computing for optimized water management. The system is based on three layers: IoT devices in the field comprising ESP32 microcontrollers, temperature and humidity sensors and actuators; a cloud layer using ThingSpeak for real-time data collection and analysis via HTTP protocol; and an interactive dashboard for irrigation monitoring and control. Mathematical modeling plays a key role, integrating fuzzy logic to dynamically adjust irrigation according to environmental conditions. MATLAB is used to simulate and visualize fuzzy membership functions, enabling optimized decision-making. Results show that the system reduces water losses by adjusting watering periods according to soil temperature and humidity. Thanks to ThingSpeak, it effectively maintains soil humidity close to the target threshold of 62 %, ensuring more precise, weather-responsive irrigation. Evaluation over an extended period shows a significant reduction in water wastage thanks to strategic management based on well-defined rules. What's more, with a cost of just 32 USD, this IoT system proves more affordable than conventional methods requiring significant investment in infrastructure and maintenance. This intelligent irrigation system represents a promising solution for sustainable water management in agriculture. By integrating real-time soil and climate data, it improves water efficiency, optimizes yields and minimizes the risk of water stress, thus contributing to the resilience of agricultural practices in the face of current and future environmental challenges
Fire risk assessment system for food and sustainable farming using ai and IoT technologies: Benefits and challenges
No full textFire detection and prevention in agriculture and forestry are major challenges for food security, ecosystem preservation, and natural resource management. Forest and agricultural fires have devastating impacts on the environment, the economy, and biodiversity. Faced with this problem, the adoption of innovative technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) offers new opportunities for proactive fire risk management. This review explores the joint use of AI and IoT for fire detection, monitoring, and prevention in the agricultural and forestry sectors. The foundations of AI in agriculture are examined first, with a particular focus on machine learning and massive data processing techniques for predicting fire risk. AI applications in fire detection are then analyzed, notably through predictive models and intelligent sensor systems. At the same time, the study highlights the principles of IoT for environmental monitoring, emphasizing the role of sensors, communication networks, and cloud platforms to collect, analyze, and transmit data in real-time. Finally, the combination of AI and IoT is explored as an integrated solution for preventing fires through continuous monitoring and rapid response capability. The benefits, as well as the challenges associated with implementing these technologies, are also discussed. This review aims to provide a detailed analysis of current research, identify existing gaps, and propose perspectives for the future of agricultural and forest fire management while highlighting the importance of a technological and sustainable approach to tackling the global challenges of climate change and food security
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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