scholarly journals Economic Benefit Evaluation and Analysis Based on Intelligent Agriculture Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Shu Liu ◽  
Yuting Wu
Keyword(s):  
Internet Of Things ◽  
Agricultural Production ◽  
Expert Knowledge ◽  
Economic Benefits ◽  
Video Data ◽  
Environmental Data ◽  
The Internet ◽  
Ecological Agriculture ◽  
Processing Technologies ◽  
The Internet Of Things

There has been a consensus on the development of ecological agriculture to promote the leap from traditional agriculture to ecological agriculture, but the unavoidable fact is that the development of ecological agriculture is still relatively slow at the present stage and has not formed a major climate and great influence. The rise of the Internet is a technology that has promoted the transformation and upgrading of modern agriculture, changed the traditional agricultural production mode, and accelerated the scientific and technological integration of information. In view of the characteristics and difficulties of agriculture, this paper builds an Agricultural Internet of Things (IoT) management system to realize the integrated management of Internet equipment and realize the management of environmental data, video data, and agricultural expert knowledge. Then from perception technology, transmission technology, and the perspective of three intelligent information processing technologies, this paper introduces the present state of agricultural IoT, analyzes the Internet of Things to the economic benefits of agricultural production, to research the problems of China’s agricultural development of the Internet of Things, and puts forward China’s agricultural Internet of the future research emphasis and direction of development.

Design and Implementation of Intelligent Greenhouses Based on the Internet of Things

2014 ◽  
Vol 631-632 ◽  
pp. 188-191
Author(s):  
Ran Ni
Keyword(s):  
Internet Of Things ◽  
Agricultural Production ◽  
Information Transfer ◽  
Irrigation System ◽  
Ventilation System ◽  
Economic Benefits ◽  
The Internet ◽  
Automation Equipment ◽  
Internet Of Things Technology ◽  
The Internet Of Things

With the development of modern agriculture construction, various types of supporting agriculture automation equipment began to use and achieved good economic benefits, at the same time, linkage, information transfer between the various devices become the bottleneck to limit the scale of agricultural production. In this paper, the research object, describes the control, the temperature in the greenhouse automation equipment in humidity control, ventilation system, irrigation system, automation equipment and its linkage, linkage alarm mechanism, the Internet of things technology control system model and the hardware and software realization scheme is given based on. Finally through the network implementation of the joint of various types of equipment and system control and alarm in the greenhouse, avoids some potential risks in agricultural production, saving the modern agricultural production cost and management cost.

scholarly journals INCORPOARATION OF GEOSENSOR NETWORKS INTO INTERNET OF THINGS FOR ENVIRONMENTAL MONITORING

2015 ◽  
Vol XL-1-W5 ◽  
pp. 259-261 ◽  
Author(s):  
R. Habibi ◽  
A. A. Alesheikh
Keyword(s):  
Internet Of Things ◽  
Environmental Monitoring ◽  
Communication Technologies ◽  
Environmental Data ◽  
Pollution Monitoring ◽  
The Internet ◽  
Air Pollution Monitoring ◽  
Sensor Web ◽  
The Internet Of Things ◽  
Resolution Data

Thanks to the recent advances of miniaturization and the falling costs for sensors and also communication technologies, Internet specially, the number of internet-connected things growth tremendously. Moreover, geosensors with capability of generating high spatial and temporal resolution data, measuring a vast diversity of environmental data and automated operations provide powerful abilities to environmental monitoring tasks. Geosensor nodes are intuitively heterogeneous in terms of the hardware capabilities and communication protocols to take part in the Internet of Things scenarios. Therefore, ensuring interoperability is an important step. With this respect, the focus of this paper is particularly on incorporation of geosensor networks into Internet of things through an architecture for monitoring real-time environmental data with use of OGC Sensor Web Enablement standards. This approach and its applicability is discussed in the context of an air pollution monitoring scenario.

scholarly journals Autonomous WiFi Sensor for Heating Systems in the Internet of Things

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
C. A. Trasviña-Moreno ◽  
R. Blasco ◽  
R. Casas ◽  
A. Marco
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Cities ◽  
High Energy ◽  
Environmental Data ◽  
The Internet ◽  
Processing Unit ◽  
Heating Systems ◽  
Thermoelectric Energy Harvesting ◽  
The Internet Of Things

In smart cities and home applications, the use of Wireless Sensor Networks to extract environmental data becomes more common with the passing of time. These sensors are used for a wide array of applications, but mainly to manage energy consumption in domestic buildings. One of the key energy consumers in households is heating systems. To monitor them, sensors are used with wireless communication protocols, like ZigBee, to transmit data to a central processing unit (CPU). WiFi communications, on the contrary, are rarely seen in these implementations due to its high energy consumption, although almost in every home one can find such networks. Yet, with the Internet of Things (IoT), new revisions of the standard have arisen which enable this technology for wireless sensing. To validate this theory and fill a technological necessity, this proposal is presented. In this work, the design and implementation of an autonomous WiFi sensor, paired with thermoelectric energy harvesting, are presented as an IoT solution for monitoring heating devices. For this, a thorough analysis of the proposed architecture is presented. Tests regarding energy consumption and generation, efficiency, and real world scenario trials are done. Finalizing, a comparison between the obtained results and current implementations is shown.

scholarly journals Sistem Pemantau Gas di Tempat Pembuangan Sampah Akhir Berbasis Internet of Things

2018 ◽  
Vol 6 (3) ◽  
pp. 100-105
Author(s):  
Fathur Zaini Rachman
Keyword(s):  
Carbon Dioxide ◽  
Social Media ◽  
Internet Of Things ◽  
Environmental Data ◽  
The Internet ◽  
Time Interval ◽  
Data Delivery ◽  
Internet Connection ◽  
Carbon Dioxide Co2 ◽  
The Internet Of Things

This research developed a gas monitoring system in the final waste disposal. The system has implemented the Internet of Things (IoT) using the ESP8266 Wi-Fi module to transmit methane (CH4) and carbon dioxide (CO2) data concentration, as well as temperature and humidity to the ThingSpeak server. Users can monitor and access these environmental data through social media Twitter and websites from anywhere. The fastest data delivery can be obtained with a time interval of 16 seconds on each data packet sent when there is an Internet connection.

scholarly journals A feature of organization the regional digital network of agrometeorological observations in the Tomsk region

2021 ◽  
Vol 2140 (1) ◽  
pp. 012038
Author(s):  
A S Myagkov ◽  
A V Solovyov ◽  
D A Fomin
Keyword(s):  
Internet Of Things ◽  
Agricultural Production ◽  
Meteorological Parameters ◽  
Integrated Approach ◽  
The Internet ◽  
Agricultural Producers ◽  
Changing Climate ◽  
Digital Network ◽  
Tomsk Region ◽  
The Internet Of Things

Abstract The article describes the organization of a digital network for collection and analysis of agrometeorological data. This digital network is based on the concept of an integrated approach to the collection, systematization and analysis of agrometeorological data for forecasting and developing recommendations for agricultural producers. The digital network is three-tiered and consists of meteorological stations, agrometeorological posts and agrometeorological probes installed directly on the fields. The presented modern network for monitoring meteorological parameters is an important tool of modern agricultural production, which is especially relevant in a dynamically changing climate. It is reasonable to build such systems in the ideology of the Internet of Things (IoT).

scholarly journals Prospects of Internet of things technologies in agricultural production

2021 ◽  
Author(s):  
I. F. Yurchenko ◽  
Keyword(s):  
Internet Of Things ◽  
Agricultural Production ◽  
Crop Production ◽  
Information Technologies ◽  
Agricultural Sector ◽  
Methodological Approach ◽  
The Internet ◽  
Industrial Complex ◽  
Innovative Solutions ◽  
The Internet Of Things

Purpose: to study, analyze and generalize the current state and prospects of IoT technologies in agricultural production, which allow making the right decisions, reducing risks and increasing the profitability of agricultural production based on the use of a unified information field, formed according to the data of all participants in the production process. Methods: as a basic methodological approach, the method of comparative analysis which made it possible to characterize the main approaches to the use of innovative technologies in the agricultural sector of the economy and determine the prospects for the development of unified scientifically grounded information systems integrated into the country's digital economy in agricultural production was used. Results. The analysis of the digitalization state of agricultural production and the Internet of Things market in domestic agriculture has been carried out, which revealed the need for their formation and development in accordance with the requirements of the departmental project “Digital Agriculture”. The main innovative solutions that characterize the concept of smart agriculture are presented, and the possibility of their application is established at the present time. The technical and technological equipment of agricultural production in the development, implementation and use of information technologies is characterized. The examples of innovative solutions, services and digitalization projects of agricultural production processes successfully implemented in the industry are given. The prospects and directions of using the Internet of Things technologies in the crop production system of the domestic agro-industrial complex are shown. The factors restraining the evolution of innovations of digitalization in agricultural production are determined. Conclusions. The planned introduction of IoT technologies will allow to reduce costs and production risks, as well as to increase labor productivity in agriculture in the Russian Federation by 2 times by 2024.

scholarly journals Application of Markov Model-Based IoT in Agricultural Insurance and Risk Management

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Wei Chen ◽  
Yuansheng Jiang
Keyword(s):  
Risk Management ◽  
Panel Data ◽  
Internet Of Things ◽  
Markov Model ◽  
Agricultural Production ◽  
Disaster Risk ◽  
Management Tool ◽  
The Internet ◽  
Agricultural Insurance ◽  
The Internet Of Things

As the foundation of the national economy, agriculture is a high-risk, weak industry. Affected by many factors, agricultural production is subject to catastrophe risks from time to time. Agricultural production is mainly faced with two major threats, natural disaster risk and market risk. As an effective risk management tool, the production and promotion of agricultural insurance have played an essential role in guaranteeing the development of the agricultural industry in some developed countries and major agricultural countries in the world. This article combines the Internet of Things and Markov model for agricultural insurance risk management. First, we combine the structure of the Internet of Things and select relevant statistical data. Then, we build a panel data system, starting from two perspectives in different regions and analyze agricultural insurance’s current development and characteristics at each stage. In addition, we use the Markov model to build a panel data model to explore the specific impact mechanisms deeply. We also study the effects of disaster risk levels in different regions on the development of agricultural insurance. After simulation verification, we believe that this model can effectively promote the balanced regional development of agricultural insurance.

scholarly journals Intelligent Coordination Distribution of the Whole Supply Chain Based on the Internet of Things

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hongxiu Cui
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Economic Benefits ◽  
Cold Chain ◽  
The Internet ◽  
Key Technologies ◽  
Coordination System ◽  
The Impact ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In this paper, through the intelligent research of the whole process of logistics and distribution with the Internet of Things supply chain, we study how to improve the development of the cold chain, reduce the loss in circulation, improve the social and economic benefits, and carry out intelligent information collection, monitoring, management, and information tracing of the whole cold chain. This paper analyzes and empirically studies the impact of key technologies of the Internet of Things in cold chain coordination from the perspective of building an intelligent cold chain coordination system with the Internet of Things technology. This paper analyzes the current situation of cold chain logistics and the impact that the application of IoT technology will have, explains that IoT technology can improve the intelligence level of the cold chain, and then introduces the application of intelligent cold chain logistics under IoT orientation, combining the process of cold chain logistics with the three-layer architecture of IoT technology. By extracting the key technologies of IoT perception layer, network layer, and intelligence layer, the intelligent cold chain coordination system based on IoT technology is constructed, and then, the correctness of the system is verified, to have some reference and evaluation for the cold chain construction. The system was then verified to have some reference and guidance significance for the construction and evaluation of the cold chain. The results of this paper are more accurate and more efficient.

Sign in / Sign up

Export Citation Format

Share Document