Applications of smart agriculture for environmental protection using deep learning techniques

DL, short for Deep Learning, is a cutting-edge approach that merges advanced techniques in image processing and data analysis with the power of big data analysis. Its potential is enormous and has already found practical applications in several fields, including autonomous driving, automatic speech recognition, medical research, image restoration, natural language processing, and, among others. DL has been recently introduced in agriculture showing promising results in solving various farming problems like disease detection, automated plant and fruit identification, and counting. This study presents a comprehensive review of research using DL techniques in farming, including crop monitoring, crop mapping, weed and pest detection and management, irrigation, fruit grading, reorganizations of species and herbicide identification. Furthermore, different DL techniques applied in various fields are analyzed and compared with existing techniques. It was found that DL outperforms traditional image processing technology in terms of accuracy, both in classification and regression. Additionally, the study suggests that DL can be applied beyond detections, classification tasks to yield production, and disease segmentation in agriculture

Advancements and Challenges in Energy-efficient 6G Mobile Communication Network

The arrival of 6G mobile communication networks is anticipated to revolutionize the technological landscape, bringing about profound innovations. This research paper explores the various technological advancements that will pave the way for the advent of 6G networks, with a particular focus on addressing energy consumption. It is widely recognized that energy efficiency plays a crucial role in the evolution of 6G networks. To enhance network performance, user experience, and resource management, the integration of Artificial Intelligence (AI) is expected to be a pivotal technology. AI-based solutions can effectively optimize energy usage and contribute to the overall efficiency of 6G networks. Furthermore, the incorporation of wireless communication systems, telecommunication, and the Internet of Things (IoT) will be integral to the infrastructure of 6G networks. The need for significant enhancements in 6G networks is also examined in this study. Ensuring the safety and protection of 6G networks from cyber threats becomes increasingly important due to the growing reliance on networked communication and the sensitive nature of transmitted information. Cutting-edge security methods such as homomorphic encryption and blockchain technology may be essential in this regard. Moreover, this research paper explores the impact of 6G networks on various domains and discusses the challenges that must be overcome to unlock the technology’s full potential. To ensure responsible adoption and usage of 6G networks, the development of new business models and regulatory frameworks may be necessary to support their implementation while addressing energy consumption concerns

Design of a specialized search engine for university students dedicated to education and environment

The aim of this study is to introduce a new specialized search engine that helps university students learn about environmental issues and improve their environmental literacy. Our search engine collects information from environmental documents and scientific articles from trusted sources. After intensive word processing, it provides a list of different contexts for the terms queried, depending on the chosen field, allowing students to refine their online search. In a single operation, students can find phrases and paragraphs using multiple related terms. This model aims to generate maximum output with semantic value using minimum user input, thanks to the new search mechanism on which it is based. The search engine is optimized for environmental education, allowing students to access environmental information in their preferred language. Our work is structured as follows: first, we motivate the need for a specialized environmental education search engine. Then, we discuss the context and construction of our specialized search engine for environmental education. Finally, we review the proposed solution and conclude with future work

A comparative study of laravel and symfony PHP frameworks

With the current explosion of Information Systems, the market offers a wide range of interesting technological solutions. Yet, this does not mean adopting a technology without considering its impact on the existing information system and user expectations. It is recommended to identify and implement the technological solutions most suited to the Information Systems strategy. Therefore, new methods are emerging and design tools are still evolving; the PHP Frameworks are part of it, which open up new perspectives in terms of information system enrichment. In this context, this paper focuses on the elaboration of a comparative study between Laravel, symfony framworks, which are the most popular PHP frameworks.  Thus, it provides an effective comparison model that merges seven dimensions: Features, Multilingual, System requirements, Technical architecture, Code Organization, Continuous Integration (CI) and finally Documentation and learning curve dimension. Results show that our model can be beneficial for IT project developers to select the suitable PHP Framework.

A new model for the selection of web development frameworks: application to PHP frameworks

The use of a framework is often essential for medium and large scale developments, but is also of interest for small developments. PHP has evolved as the scripting language the most chosen by developers, which has generated an explosion of PHP frameworks. There is a big debate about what the best PHP frameworks are, because the simple fact is that not all frameworks are built for everyone. Indeed, not all frameworks meet the same needs, and several frameworks can be used together in certain situations. Choosing the right framework, however, can sometimes be difficult. In order to make the selection process easier, we propose a pragmatic and complete model to compare and evaluate the main PHP frameworks. This model is based on a set of comparison criteria based on the Intrinsic durability, industrialized solution, technical adaptability, strategy, technical architecture and Speed criteria. Results show that the values of these criteria allow developers to easily and properly choose the framwork that best meets their need

Artificial Intelligence Technology and Ecological Transition -Analysis and Criticism-

Artificial intelligence (AI) refers to an application capable of processing tasks which are currently performed satisfactorily by human beings insofar as they involve high-level mental processes such as perceptual learning or the organization of memory (Marvin Lee Minsky, 1956). Until now, research in this field has shown a difficulty in validating and certifying artificial intelligence systems at the service of decarbonization, ecological and energy transition objectives. In this context, this article focuses on an effective analysis of 05 of today’s most popular AI technologies in the field of environment, Artificial Neural Networks, fuzzy logic, Case-based reasoning, the multi-agent system and the process of natural language. The results show that our analysis can be beneficial for developers to select the appropriate technology for a reliable and successful implementation of artificial intelligence

Analyzing bootsrap and foundation font-end frameworks : a comparative study

Most modern web applications use some kind of front-end frameworks for designing and creating content in a faster and more efficient way, which saves valuable time when creating responsive web sites. There are many front-end frameworks that vary enormously in terms of features and benefits, which could make the choice of front-end framework for the developer tricky. In this context, this paper focuses on an effective analysis of two of today's most popular front-end frameworks, Boostrap and Foundation, The results show that our analysis can be beneficial for developers to select the appropriate front end framework to customize their web applications

Enhanced model for ergonomic evaluation of information systems: application to scientific research information system

Considering the importance of the ergonomic aspect for information systems in providing an easy use of the computing systems, this paper focuses on the elaboration of a hybrid model for the ergonomic evaluation of information systems that merges a set of inspection dimensions such as accessibility, practicality, emotionality, and technological persuasion. Details on how the model has been constructed and data have been collected are presented. For the evaluation of our model, a situation of an information system for scientific research (SIMArech) in Moroccan Universities has been studied. This model can be used by ergonomist and human factor professionals. It is found that the proposed heuristics can effectively assess the most important dimensions of scientific research information systems

Reducing Carbon Footprint with Real-Time Transport Planning and Big Data Analytics

The growing concern about the impact of transportation on the environment has led to increased interest in developing more sustainable transportation systems. This paper presents a new approach to reduce carbon footprint by using real-time transport planning and big data analytics. The objective is to optimize transport operations, thereby reducing fuel consumption and greenhouse gas emissions. The current state of knowledge and the question posed in this paper is how to achieve sustainable transportation systems. To address this issue, the methodology used involves collecting data from traffic sensors and other sources to create real-time traffic models that can be used for optimal transport planning. Statistical modeling and machine learning techniques are applied to improve the accuracy of traffic predictions and optimize the routing of vehicles. The main results of this study demonstrate that the proposed approach is effective in reducing fuel consumption and greenhouse gas emissions. By analyzing real-time traffic data and optimizing transport operations, it is possible to reduce carbon footprint significantly. The benefits of this approach extend beyond the environment, as it can also lead to cost savings for transportation companies and improve traffic flow for road users. The consequences of this research are significant, as it offers a new solution for reducing the environmental impact of transportation. The proposed approach can be applied to a variety of transportation modes, including cars, trucks, and public transportation, and has the potential to be implemented in various cities and regions. By reducing carbon footprint, this approach can contribute to achieving global targets for reducing greenhouse gas emissions, as well as improve the overall sustainability of transportation systems

Advancements and Challenges in Energy-efficient 6G Mobile Communication Network

The arrival of 6G mobile communication networks is anticipated to revolutionize the technological landscape, bringing about profound innovations. This research paper explores the various technological advancements that will pave the way for the advent of 6G networks, with a particular focus on addressing energy consumption. It is widely recognized that energy efficiency plays a crucial role in the evolution of 6G networks. To enhance network performance, user experience, and resource management, the integration of Artificial Intelligence (AI) is expected to be a pivotal technology. AI-based solutions can effectively optimize energy usage and contribute to the overall efficiency of 6G networks. Furthermore, the incorporation of wireless communication systems, telecommunication, and the Internet of Things (IoT) will be integral to the infrastructure of 6G networks. The need for significant enhancements in 6G networks is also examined in this study. Ensuring the safety and protection of 6G networks from cyber threats becomes increasingly important due to the growing reliance on networked communication and the sensitive nature of transmitted information. Cutting-edge security methods such as homomorphic encryption and blockchain technology may be essential in this regard. Moreover, this research paper explores the impact of 6G networks on various domains and discusses the challenges that must be overcome to unlock the technology’s full potential. To ensure responsible adoption and usage of 6G networks, the development of new business models and regulatory frameworks may be necessary to support their implementation while addressing energy consumption concerns