With the application of big data in all walks of life, big data thinking is effectively improving the circulation efficiency of agricultural products supply chain by driving management changes in business decision-making and "farmer-supermarket docking" as an innovative mode of agricultural products circulation. Based on the current situation of China's agricultural supermarket supply chain development

The agricultural information technology management system has a certain role in promoting the development of agriculture. However, there is a lack of persuasive reference on how the incentive mechanism of different agricultural models will affect the development of agricultural technology, or which aspect will be affected.This article aims to study the incentive mechanism of different agricultural

Name data networking (NDN) is one of the proposed ICN based future Internet architecture aims to substitute our current TCP/IP based Internet. The recent advancements in technology reduced the cost to connect to the Internet and made it feasible to connect a wide variety of devices that leads to rapid growth in hand-held devices and exponentially increased Internet users. The Internet usage pattern

With the acceleration of urbanization and industrialization, increasingly serious global climate change issues have profoundly affected the survival and development of human beings, and natural, ecological and social systems are facing unprecedented threats and challenges. The purpose of this article is to study urban planning from multiple perspectives and levels, and strive to create a healthy ecologically

The demand for energy has been increasing at an exponential rate thereby increasing the stress on generation by any means. To meet the demand and without affecting the environment renewable energy sources are taking the lead. The abundant renewable sources are solar and wind. The solar radiations depend on climate, intensity and temperature whereas wind conversion system depends on wind speed and radius

Energy harvesting, along with effective storage of the energy, is a very common approach to attain sustainable computing in today’s embedded systems. Employing a hybrid energy storage system (HESS), which constitutes of two or more types of energy storage systems (ESSs), helps to compensate for the weaknesses of one ESS type using the strengths of another type. The capacity of an ESS, and thus that

Modern supercomputers and cloud providers rely on server nodes that are equipped with multiple CPU sockets and general purpose GPUs (GPGPUs) to handle the high demand for intensive computations. These nodes consume much higher power than commodity servers, and integrating them with power capping systems used in modern clusters presents new challenges. In this paper, we propose a new power capping controller

In recent years, sustainable development has become the goal pursued by all mankind. In such an era, the concept of green manufacturing industry has been put forward. While manufacturing industry gains rapid development by taking advantage of this opportunity, it also faces greater competition. Sustainable development is a "double-edged sword" for the manufacturing industry. It not only brings unlimited

Tomato is an important vegetable crop cultivated worldwide coming next only to potato. However, the crop can be damaged due to various diseases. It is important for the farmer to know the type of disease for timely treatment of the crop. It has been observed that leaves are clear indicator of specific diseases. A number of Machine Learning (ML) algorithms and Convolution Neural Network (CNN) models

Agriculture occupies an important position in the economic development, and which is one of the important sources of earning for human beings in many countries. However, a number of challenges are faced by the farmers including different diseases for plants, as having diseases in plants are quite natural. The primary premise in the prevention and treatment of diseases is to correctly identify and judge

Hierarchical Wireless Sensor Networks (WSNs) have got vital application domains in modern era especially in monitoring and tracking of events, and without human intervention. In WSN, sensor nodes are characterized to have short life span due to continuous sensing and consequently the battery drains quickly. Under heavy traffic condition, sensors in close proximity to sink die quickly and initiate energy-hole

Recently, carbon emissions increase apparently in road freight transportation section accompanied with rapidly development of logistics industries in China. However, many published researches used carbon emission calculation model to plan the optimized road transportation route regardless of local regulation-compliant constraints. This study fills this gap by improving carbon emission calculation model

Thermal issues in the cyber part of cyber-physical systems (CPSs) has attracted considerable attention in recent years. Heat generation due to energy consumption results in accelerated thermal damage to the processing units, reducing their lifetime. Fault tolerance contributes to a large fraction of this thermal behavior in CPS since it is implemented using redundant computations. This paper studies

With an elevating demand and use of power electronics equipment, green energy and the development of smart grids, power quality disturbance detection and classification holds great importance. It is important not only from the technical point of view but from an economic perspective also. This paper presents a comprehensive review of the work done until now in the field of power quality disturbance

The sustainable development of marine economy involves many factors such as society, economy, resources and environment. It is almost impossible to comprehensively solve all problems in the system in one study. The potential of China's marine resources is huge, and the marine economy has maintained a rapid growth rate, but at the same time as rapid economic growth, there are also problems such as waste

While phase change memory (PCM) is gaining popularity in next generation systems compared to conventional DRAM and Flash, write disturbance due to crosstalk remains a significant challenge to PCM performance and reliability. To address this concern we propose a multi-tiered compression (MTC) technique combined with novel encoding that can decrease the probability of write disturbance. MTC compresses

The rapid rise in the cloud service adoption reflects the growth of Cloud Data Centers' (CDCs) number, size, energy consumption and eco-unfriendly carbon footprints. In CDCs, Virtual Machine Consolidation (VMC) plays a significant role in reducing their energy consumption and thereby reducing the carbon footprints. The state-of-the-art VMC heuristics based on First-Fit Decreasing (FFD) and Dominant

In this work, a cognitive Wireless Regional Area Network (WRAN) technology-based sensor network for agricultural monitoring is proposed. In WRAN technology, a Consumer Premise Equipment (CPE) and a base station communicate through incumbent channels opportunistically without causing any harmful interference to incumbent operations. Because CPE in IEEE 802.22 WRAN is considered as a fixed device, CPE

The recent growth of application variety for Energy Harvesting Wireless Sensor Network (EH-WSNs) poses new demands on matching energy consumption of sensors and actuators with energy harvest. High precision sensing—e.g., measuring gas concentration or fine particle matter—offers valuable insight into the environment yet increases program complexity due to dependent deadlines of multiple involved sensing

Smart city construction is an important direction of global urban development, which reflects the bright future of human life. Building smart cities is also a long-term task for China to promote new-type urbanization and healthy urban development. Nowadays, China's new urbanization takes wisdom, intelligence and green ecology as the core theory, and an increasing cities have joined the planning and

Accurate forecasting of reservoir inflow is of great importance in water resources planning and management and it can highly affect decisions and policies of reservoir operation with respect to flood control, drought management, water supply, and hydropower generation. In this study, different models of static and dynamic artificial neural networks (ANN) including static feed forward neural network

In this paper, the panel data of 50 listed Chinese petroleum companies from 2009 to 2018 were used. A three-stage Data Envelopment Analysis (DEA) model was used to eliminate environmental factors and random factors, Pearson Epsilon-based Measure (PEBM) distance function and the Malmquist index were combined to evaluate the change of total factor productivity, then Support Vector Regression (SVR) prediction

With the gradual warming of the global climate, the development of low-carbon buildings has become an inevitable trend, and research on the carbon emissions of buildings is also imperative. At present, in most studies on energy management of carbon emissions during the construction process, people cannot analyze them with a more accurate method. In order to find an effective carbon emission analysis

In recent years, a rapid development of China’s new energy vehicles (NEV) has brought great influence to China's energy security and sustainable development. An important reference from energy security and sustainable development in other countries has been used to analyze the resistance and motivation of NEV’s marketing in China. To achieve simultaneous growth of the global sale and market share of

Because of the different scales and majors of college construction, the number and quality of the resources of the stadiums in Shaanxi are very different, and the distribution is extremely uneven. The shortage of per capita occupation and the idle and waste of some venues and facilities exist at the same time. The purpose of this article is to analyze and analyze the status and changes of sports resources

The integration of high-proportion new energy into regional power grid can decrease the damping of the power grid and weaken the voltage supporting capacity, which is likely to improve the wind curtailment rate and the light abandoning rate.This paper focuses on the optimal operatioin of CSP station in regional power grid with high permeability of new energy. With the optimization goal of maximizing

High Performance Computing (HPC) platforms like blade servers consist of multiple processor chips, which may be multicore CPUs, GPUs, memory modules and other subsystems. In such memory and computation intensive systems one-to-many traffic patterns originate from cache coherency, system-level synchronization mechanisms and other control signals. However, small portions of such traffic can introduce

This paper has proposed an integrated healthcare monitoring solution for the soldiers deployed in adverse environmental conditions, using the internet of things (IoT) with distributed computing. For these soldiers, the health parameters of every individual need to be monitored on a real-time basis and subsequent analysis of the dataset to be made for initiating appropriate medical support with the

This paper formulates a new multi-objective virtual machine placement problem, which is a challenging task in cloud datacenters. In cloud environment, there are two stakeholders, namely, users and providers. Both sides try to take more benefit whereas a trade-off between conflicting benefits is crucial. From providers’ perspective, power consumption, and resource wastage are two objectives to be optimized

Energy efficiency is considered as a crucial objective in cloud data centers as it reduces cost and meets the standard set in green computing. Task scheduling an important problem becomes more complex and critical under energy efficiency consideration. Key issues in recent research on energy efficient task scheduling are execution overhead and scalability. Machine learning has been widely employed

Background The severity of diseases and threats found in different crop varieties is one of the primary causes of degradation in the agricultural economy. Early detection and disease diagnosis in crops will facilitate farmers to improve their livelihood and mankind. Objective This study aimed to develop method for disease identification in several seasonal crops during their early stages using deep

Maintenance of green infrastructure requires persistent monitoring of soil water content, electrical conductivity (EC), temperature and relative humidity (RH). There is need to create relation among these parameters to deduce soil water content as to limit cost of introducing sensors. The present investigation means to measure the progression of these four parameters in a green infrastructure site

In recent years, some official reports, to produce best products regarding quality, quantity and economic conditions, recommend that the farming sector should benefit with new tools and techniques coming from Information and Communications Technology (ICT) realm. In this way, during last decade the deployment of sensing devices has increased considerably in the field of agriculture. This fact has led

Agricultural applications supported with information technologies increase plant production, protect soil and reduce labor, which is crucial for sustainable agriculture. Impacts of planting dates on production are very well known. In the current study machine learning algorithms have been used in determining planting date. The proposed method aims to help farmers to obtain higher yield providing them

This paper presents an Internet of Things (IoT) based system by designing a novel Nitrogen-Phosphorus-Potassium (NPK) sensor with Light Dependent Resistor (LDR) and Light Emitting Diodes (LED). The principle of colorimetric is used to monitor and analyze the nutrients present in the soil. The data sensed by the designed NPK sensor from the selected agricultural fields are sent to Google cloud database

The development of computerized automated diagnostic systems ensures more effective health screening in plants. In this way, the damage caused by diseases can be reduced by early detection. Light reflections from plant leaves are known to carry information about plant health. In the study, healthy and fusarium diseased peppers (capsicum annuum) was detected from the reflections obtained from the pepper

The innovative service process is a process that uses newly developed technologies to improve the current service models. The study proposes a creative service process based on the cloud computing platform of the Internet of Things and it can be used to improve the integration of the current cloud-to-physical networking and to improve the computing speed of the Internet of Things. In the past, most

Agriculture is one of the prime sources of economy and a large community is involved in cropping various plants based on the environmental conditions. However, a number of challenges are faced by the farmers including different diseases of plants. The detection and prevention of plant diseases are the serious concern and should be treated well on time for increasing the productivity. Therefore, an

Predicting soil moisture quantity could directly help the people engaged in sustainable agriculture and associated socio-economic structures. Recently researchers have engaged traditional and machine learning based models to predict soil moisture quantity. In the current study a modified Flower Pollination Algorithm (MFPA) has been employed to train Artificial Neural Network (ANN) to predict soil moisture

Livelihood security plays a critical role in strengthening the socio- economic situation of a country. Agriculture is one such sector which is expected to provide a complete array of economic, social, and environmental services. Good governance and management of allied policies at all levels is favourable for long-term sustainability of agricultural sector. The accountability of government is a direct

Sustainable computing provides a remote access to the diagnosis system for easy and fast implementation. The proposed approach measures glucose level in the blood through Dexcom G4 Plantinum sensors on diabetic patients. Based on the readings, Internet of Things (IoT) platform offer a sustainable solution to Diabetic Retinopathy. The purpose of this research is to save the life of the patient from

Green Computing aims to use of IT resources in an energy-efficient, cost-effective, and environmentally-friendly manner, through Greening the (use, disposal, design, and manufacturing) of computers and computer-related products which in turn effects the development of many sectors of a country. This research is a case study that discuss the drivers and challenges of green computing adoption for sustainable

Internet of Things (IoT) is the network of physical objects embedded with software, electronics, sensors and network connectivity which enables these objects to collect and exchange data. IoT based image processing is reaching up to a different level which is becoming a major part of everyone life. IoT based image segmentation is used to solve the real world problems like animal classification in wildlife

The significant role of plants can be observed through the dependency of animals and humans on them. Oxygen, materials, food and the beauty of the world are contributed by plants. Climate change, the decrease in pollinators, and plant diseases are causing a significant decline in both quality and coverage ratio of the plants and crops on a global scale. In developed countries, above 80 percent of rural

The urgent requirement of the sustainable computing determines that many security assurance protocols are designed with low computational cost. The design of the sustainable cloud storage auditing protocol is an attractive research filed in the security community. As we all know, secret keys of the data storage auditing in the cloud system are very sensitive. To enhance the security of the cloud data