In a crowd-sensing system, effective transmission of sensing data is an important step in improving task distribution efficiency. In real-life scenarios, when resources are limited or geographic conditions are harsh, ...
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In terms of social, economic, sustainability, and environmental challenges, ride-sharing services play a significant role in reducing traffic congestion and the number of automobiles on the road. The objective of this...
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This study examines the utilization and comparison of four distinct techniques for multi-criteria decision-making (MCDM). The aim is to select the most favorable pareto-optimal solution derived from multi-objective op...
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This comprehensive review paper synthesizes a variety of research findings in the domains of crop recommendation, fertilizer application, and water management. The aim is to offer a holistic perspective on the integra...
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ISBN:
(纸本)9798350370249
This comprehensive review paper synthesizes a variety of research findings in the domains of crop recommendation, fertilizer application, and water management. The aim is to offer a holistic perspective on the integrated approach to optimizing agricultural productivity. The review explores the intricate relationships among these three fundamental components, investigating synergies and trade-offs within their application. In the first section, the review navigates through studies on crop recommendation systems, examining advancements in precision agriculture, machine learning, and data analytics. It evaluates the effectiveness of various models in predicting suitable crops based on soil types, climate conditions, and historical data. Special emphasis is placed on the evolving landscape of digital agriculture and the role of emerging technologies in shaping modern crop recommendation frameworks. Moving forward, the review explores the complex dynamics of fertilizer application, encompassing studies on nutrient management strategies, soil health considerations, and the ecological impacts of different fertilization practices. Attention is given to sustainable approaches that balance high yields with environmental stewardship, considering the long-term viability of agricultural systems. The third section of the review focuses on water recommendation systems, analyzing research on efficient irrigation methods, water use efficiency, and technologies for real-time monitoring of soil moisture. It assesses evolving strategies to optimize water resources, particularly in regions facing water scarcity and climate variability. Throughout the review, critical insights are drawn from key research papers, addressing gaps in existing knowledge and identifying avenues for future investigations. By combining information from these three crucial domains, this review contributes to the development of a unified framework for sustainable and precision agriculture, enhancing our understan
This paper introduces a novel Convolutional Neural Network (CNN) architecture for image colorization. We review existing research, identifying key progress and persistent challenges in the field. Our approach features...
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Recently, a fuzzy system having learning and adaptation capabilities is gaining lots of interest in research communities. In the current approach, two of the most successful soft computing approaches – neural network...
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The lack of communication options for Deaf and hearing people, some may say creates a significant social disadvantage in accessing the often-bare essential services. In contrast to acoustically communicated sound patt...
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This paper presents a comprehensive design and implementation of a Sunward Solar-Powered Wireless Soil Moisture Sensor, which combines cutting-edge technology to enable energy-efficient soil moisture measurement and w...
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Although deep neural networks exhibiting superior performance across numerous tasks, their application in high-risk domains is limited by a lack of interpretability and trustworthiness. In this paper, an interaction v...
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Blockchain technology is critical in cyber *** most recent cryptographic strategies may be hacked as efforts are made to build massive elec-tronic *** of the ethical and legal implications of a patient’s medical data...
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Blockchain technology is critical in cyber *** most recent cryptographic strategies may be hacked as efforts are made to build massive elec-tronic *** of the ethical and legal implications of a patient’s medical data,cyber security is a critical and challenging problem in *** image secrecy is highly vulnerable to various types of *** a result,designing a cyber security model for healthcare applications necessitates extra caution in terms of data *** resolve this issue,this paper proposes a Lionized Golden Eagle based Homomorphic Elapid Security(LGE-HES)algorithm for the cybersecurity of blockchain in healthcare *** blockchain algorithm preserves the security of the medical image by performing hash *** execution of this research is carried out by MATLAB *** suggested fra-mework was tested utilizing Computed Tumor(CT)pictures and MRI image data-sets,and the simulation results revealed the proposed model’s profound *** the simulation,94.9%of malicious communications were recognized and identified effectively,according to the total outcomes *** suggested model’s performance is also compared to that of standard approaches in terms of Root Mean Square Error(RMSE),Peak Signal to Noise Ratio(PSNR),Mean Square Error(MSE),time complexity,and other factors.
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