scholarly journals Internet of things as a digital tool for the development of agricultural economy

2020 ◽  
Vol 17 ◽  
pp. 00050
Author(s):  
E. F. Amirova ◽  
O. V. Kirillova ◽  
M. G. Kuznetsov ◽  
Sh. M. Gazetdinov ◽  
G. H. Gumerova

The article analyzes the research results of a number of analytical agencies regarding the growth rate and key problems associated with the introduction of the “Internet of things” (IoT) in the agricultural economy. The issues of the development of the agro-industrial complex in the context of the development of the digital economy, the experience of introducing the digital economy in the agricultural sector of developed countries and the possibilities of its application in agriculture in Russia are considered. The authors focuses on the positive aspects of the influence of the “Internet of things” on the functioning and development of modern agricultural markets at the macro and micro levels, and the change in the professional structure of the agricultural industry

2019 ◽  
Vol 14 (3) ◽  
pp. 133-137 ◽  
Author(s):  
Эльмира Амирова ◽  
Elmira Amirova ◽  
Ильнур Сафиуллин ◽  
Il'nur Safiullin ◽  
Линар Ибрагимов ◽  
...  

State regulation of the agricultural sector is one of the main elements of increasing the efficiency of the country’s agricultural sector. The article discusses the problems of using the organizational and economic mechanism to regulate the agricultural sector in the Russian Federation, analyzes the issues of regulation of the agricultural sector in the context of the development of digitalization. State regulation of the development of the digital economy in agro-industrial sectors involves the development of the legal framework for access to information stored on the Internet of “things platforms”, the protection of the Russian segment of the Internet of things, for this it is necessary to create a closed network in the country and to solve the problems of import substitution in the context of a lack of domestic equipment. Implementation of state programs on digitalization of agriculture will be a link in the construction of the “Digital Economy of the Russian Federation”. In conclusion, priority directions for improving the mechanisms of state regulation of the agricultural sector are given.


Author(s):  
I. F. Yurchenko ◽  

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.


2018 ◽  
Vol 35 (2) ◽  
pp. 40-47
Author(s):  
S. M. Doguchaeva

The era of digital transformation provides the opportunity for leading companies to change priorities - to begin to take care of the support environment using innovative technologies and become a leading creative platform open for innovation. The successful development of the digital world, the blockchain technology, the Internet of things – the mechanism which will change the financial world. 


Author(s):  
Copyeditor JTDE

TelSoc has held its first forum on the future of Australia’s National Broadband Network (NBN). Three papers from that forum are published in this issue. TelSoc is planning a second forum, discussing the user potential of the NBN, in October 2019. The historical reprint in this issue is also NBN-related about online learning. The technical papers in this issue concern architectural issues in the Internet of Things and cybersecurity. The Journal welcomes further contributions on telecommunications and the digital economy.        


2019 ◽  
Vol 13 (1) ◽  
pp. 14-20 ◽  
Author(s):  
V. M. Korotchenya ◽  
G. I. Lichman ◽  
I. G. Smirnov

Currently, the influence of program documents on digital agriculture development is rather great in our country. Within the framework of the European Association of Agricultural Mechanical Engineering, a relevant definition of agriculture 4.0 has been elaborated and introduced.Research purpose: offering general recommendations on the digitalization of agriculture in RussiaMaterials and methods. The authors make use of the normative approach: the core of digital agriculture is compared with the current state of the agricultural sector in Russia.Results and discussion. The analysis has found that digital agriculture (agriculture 4.0 and 5.0) is based on developed mechanized technologies (agriculture 2.0), precision agriculture technologies (agriculture 3.0), the use of such digital technologies and technical means as the Internet of things, artificial intelligence, and robotics. The success of introducing digital agriculture depends on the success of all the three levels of the system. However, the problem of the lack of agricultural machinery indicates insufficient development of mechanized technologies;  poor implementation of precision agriculture technologies means the lack of experience of using these technologies by the majority of farms in our country; an insufficient number of leading Russian IT companies (such as Amazon, Apple, Google, IBM, Intel, Microsoft etc.) weakens the country’s capacity in making a breakthrough in the development of the Internet of things, artificial intelligence, and robotics.Conclusions.The authors have identified the need to form scientific approaches to the digitization of technological operations used in the cultivation of agricultural crops and classified precision agriculture technologies. They have underlined that the digitization of agricultural production in Russia must be carried out along with intensified mechanization (energy saturation); also, to introduce technologies of precision agriculture and digital agriculture, it is necessary to organize state-funded centers for training farmers in the use of these technologies. Finally, it is necessary to take measures to strengthen the development of the IT sphere, as well as formulate an integral approach to the problem of digitalization.


Agriculture ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 9
Author(s):  
Houda Orchi ◽  
Mohamed Sadik ◽  
Mohammed Khaldoun

The agricultural sector remains a key contributor to the Moroccan economy, representing about 15% of gross domestic product (GDP). Disease attacks are constant threats to agriculture and cause heavy losses in the country’s economy. Therefore, early detection can mitigate the severity of diseases and protect crops. However, manual disease identification is both time-consuming and error prone, and requires a thorough knowledge of plant pathogens. Instead, automated methods save both time and effort. This paper presents a contemporary overview of research undertaken over the past decade in the field of disease identification of different crops using machine learning, deep learning, image processing techniques, the Internet of Things, and hyperspectral image analysis. Additionally, a comparative study of several techniques applied to crop disease detection was carried out. Furthermore, this paper discusses the different challenges to be overcome and possible solutions. Then, several suggestions to address these challenges are provided. Finally, this research provides a future perspective that promises to be a highly useful and valuable resource for researchers working in the field of crop disease detection.


2267 Acceptance of IoT Learning Among University Students at Pakistan Humaiz Shaikh1, Zulfikar Ahmed Maher2, Ali Raza3, Muhammad Yaqoob Koondhar4, Saajid Hussain5, Asadullah Shah6 1,6Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, Malaysia, [email protected], [email protected] 2,4Information Technology Centre, Sindh Agriculture University Tandojam, Pakistan, [email protected], [email protected] 3,5Department of Information Technology, University of Sufism and Modern Sciences, Pakistan, [email protected], [email protected] ABSTRACT The Internet of Things abbreviated as an IoT is considered the most recent innovative and fastest-developing field that is to be applied in all aspects of life, in particular higher education. It has sparked interest as well as challenges among academics; the current research will concentrate on acceptance and adoption of IoT in the higher educational institutions of Pakistan. IoT supports educators in environment of learning and can have an impact on how we interact, connect, and work. In this study, we will look at two different aspects. The first one is how to teach students, and secondly how IoT can be used in educational institutions to enhance learning. This study looks at the factors that affect acceptance of IoT and use in an academic setting in Pakistan's higher education institutions. The current research establishes foundation for a comprehensive framework based on trusted technology and social psychology models, such as the Use of Technology 2 and Unified Theory of Acceptance (UTAUT2). The method proposed in this study is network analysis method to observe users' actions in relation to several IoT applications in higher education. An in-depth analysis and consideration of key deliverables which have a major impact on the Internet of Things (IoT) adoption in Pakistani educational institutions of higher level, revealed that only a few applications are heavily used in comparison to all other applications. This research lays the groundwork for developed countries to grow adoption and IoT technologies use in higher education, which will support both students and faculty.


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