scholarly journals CultivData: Application of IoT to the Cultivation of Agricultural Data

IoT ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 564-589
Author(s):  
Felipe Lemus-Prieto ◽  
Juan Francisco Bermejo Bermejo Martín ◽  
José-Luis Gónzalez-Sánchez ◽  
Enrique Moreno Moreno Sánchez

CultivData proposes the convergence of technologies, such as IoT, big data, HPC, open data and artificial intelligence, to apply HPDA (High Performance Data Analytics) to the cultivation of agricultural data and improve the efficiency and effectiveness of farms. An information system has been developed as an IT platform for the cultivation of open data to extract knowledge and to support the decision making of stakeholders in the agricultural sector, so that it is possible to improve product quality and farm productivity. The resulting system integrates access to data provided by IoT devices that sensorize farms and public and open data sources (Open Data). The platform was designed to make precision agriculture a reality and to be useful not only to farmers, but also to agricultural decision-makers who plan species and crops based on data such as available water; expected weather; prices and market demands, and so forth. In addition, the platform provides to agricultural producers access to historical climate data; climate forecasts to anticipate times of drought or disasters; pest situations or monitoring of their plantations with sensorization and orthophotographs.

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Natalya Polyanskaya ◽  
Antonina Kolesnyak

In recent years, the agri-food market has become increasingly globalized, which is accompanied by the contradictory phenomena. Thus, opportunities are created to attract optimal resources, at the same time, the era of total competition is coming, when an agro-industrial enterprise can maintain itself and continue to operate sustainably and efficiently only if it provides guaranteed demand for its products, uses high-performance, environmentally-oriented production technologies and modern, flexible management technologies that allow it to compete successfully in the market. The article justifies the need to apply adapted technologies in the practice of agricultural management to improve the efficiency of management processes, strengthen the competitiveness of agricultural and processing enterprises, and, as a result, increase the level of food supply to territories. The authors set out the organizational-methodical aspects such as a generalized scheme of the process of adapted management, a reflexive principle as an extra stage of the adapting process, and also relating processes and procedures being significant functional steps of the adaption activity. The authors represent the structural-logical scheme of the adapting process arrangement of agricultural producers to the effects of the environment. Thus, a general description of sub-processes and procedures is represented in the context of such stages as environmental monitoring, reflection, situation analysis, assessment of adaptive capabilities and decision-making.


EDIS ◽  
2020 ◽  
Vol 2020 (6) ◽  
pp. 5
Author(s):  
Ziwen Yu

Internet of Things (IoT) has been widely used in agriculture for smart farming and precision agriculture to improve efficiency and effectiveness in a data-oriented fashion. Monitored data is collected at a much higher frequency and in relatively higher reliability and accuracy than those of the manually collected information. However, there is a challenge with such large data sets in how the data is stored and processed to keep the information completeness and meet the dynamic requirements for future development and usage. The data from such systems typically consists readings from monitoring sensors and corresponding attributes, such as location, units, measurement types (e.g. air temperature, wind speed, air pressure) for each measurement. Problems such as huge data redundancy, loss of information, and inflexible data structure may occur and cost substantial time and investment for IoT system managers who do not have the necessary professional training and are not using any IT consulting service. This publication discusses the typical attributes in IoT monitoring networks and presents a data structure that outlines best practices in organizing data. The main goal is to provide knowledge on how such a system’s data should be structured so that these IoT monitoring network owners, such as agricultural producers, can optimize how they use their data. Thus, the primary audience is agricultural producers, consultants and others who install, manage, or use such IoT monitoring systems for decision making.


2020 ◽  
Vol 19 (12) ◽  
pp. 2210-2224
Author(s):  
V.M. Sharapova ◽  
T.N. Medvedeva ◽  
E.A. Farvazova

Subject. The article considers a procedure for calculating and distributing State support to depressed agricultural regions in the framework of a new type of budget financing, i.e. compensating and stimulating subsidies. Objectives. The purpose is to evaluate the efficiency of the system of State regulation of agribusiness in a depressed region, determine the priority of modern methods of budgetary support from the State, improve the methodological approach to the distribution of State aid among subjects of the Russian Federation with low level of socio-economic development. Methods. The study draws on the abstract and logical method, methods of statistical analysis, grouping, comparison, and generalization. Results. We realized the objectives of the study, using the agricultural producers of the Kurgan Oblast case. The paper analyzes the condition of agricultural sector in the depressed region, assesses the State support system efficiency for the agricultural sector of the Trans-Ural region, considers government measures related to the regulation of the economy of backward regions. It presents an updated method of budget financing within an incentive subsidy by clarifying the calculations and introducing an additional indicator that reflects the level of remuneration of regional agricultural producers. Conclusions. The updated calculation methodology for incentive subsidies to depressed regions enables to build a certain economic rating of ten depressed regions of the Russian Federation, taking into account not only the volume of production and employment, but also the level of wages of agricultural workers.


2020 ◽  
Vol 16 (6) ◽  
pp. 1101-1113
Author(s):  
M.Sh. Gutuev ◽  
B.Sh. Ibragimova

Subject. The article discusses the availability of technological equipment in the agriculture of the Republic of Dagestan. Objectives. We analyze the current situation and trends in the development of available technological equipment in the republican agriculture, identify the role and place of machine and tractor fleet in the retrofitting of the regional agriculture. Methods. The study is based on monographic, abstract logic, statistical, analytical methods. Results. Dagestan has got a critically few technological equipment, which affects the development of the regional agricultural sector. The availability of technological equipment is found to have dramatically reduced in animal husbandry for the recent 30 years. The availability of technological equipment and land cultivation strongly correlates, thus simplifying applicable agricultural technologies. Most agricultural producers of Dagestan were found to be unable to participate in the program for federal agricultural lease. Conclusions and Relevance. The deterioration of available technological equipment in agriculture is a key cause undermining the competitiveness of products and efficiency of the regional agriculture. We prove the importance of governmental actions incentivizing the influx of new technological equipment, including a set of measures reinforcing the availability of technological equipment. As long as most agricultural producers are microbusinesses that lack resources to participate in many machine renovation programs, funding should be increased substantially to subsidize a portion of equipment acquisition costs incurred by agricultural producers, and a portion of reimbursed costs as much as at least 50 percent of the value of agricultural machines acquired.


Author(s):  
A.Ya. Kibirov ◽  

The article uses methods of statistical analysis, deduction and analogy to consider programs at the Federal, regional and economic levels, which provide for measures aimed at improving the technical equipment of agricultural producers. Particular attention is paid to the acquisition of energy-saving, high-performance agricultural machinery and equipment used in the production and processing of agricultural products. An assessment of the effectiveness of state support for updating the material and technical base of agriculture is given. Based on the results of the study, conclusions and recommendations were formulated.


2020 ◽  
Vol 2 (7) ◽  
pp. 171-184
Author(s):  
Z. U. SAIPOV ◽  
◽  
G. A. ARIFDZHANOV ◽  

Energy is one of the main pillars of the state’s economy, which is currently facing serious problems due to depletion of mineral energy resources and the threatening environment. As a result, presently around the world there is a rapid growth and development of energy-efficient technologies and the use of renewable energy sources (RES), providing an increase in energy resources, as well as environmental and social effects. One of the most relevant and promising areas of renewable energy development is the disposal and processing of organic waste in biogas plants, and this is particularly relevant in agricultural regions. In this regard, this paper considers the state and prospects for the development of bioenergy in agricultural regions of Uzbekistan, where half of the population of the republic lives. The potential of organic waste from livestock and poultry farming of the agricultural sector was determined, and it was revealed that the use of biogas plants for the disposal of manure and litter is clearly a profitable production and requires close attention from rural producers. The introduction of biogas technologies for the bulk of agricultural producers is an urgent task, that will ensure not only a solution to the waste problem, but it will also provide a solution to energy, agricultural, environmental and social problems in rural regions of the republic.


2020 ◽  
Vol 2 (11) ◽  
pp. 71-73
Author(s):  
M. U. USUPOV ◽  

The article is devoted to the state of the economy of the subject of the agricultural sector – the Toktogul region of Kyrgyzstan, as well as the formation of a land division, which is impossible without an influx of investments and ensuring the availability of monetary resources for agricultural producers. In our time, innovation is becoming the main means of increasing the benefits of economic entities by better meeting market demand and reducing production losses compared to competitors. Despite repeated attempts by the country to create a system of lending to agricultural companies, only a small percentage of them use credit resources. Various state aid schemes support a competitive environment in the money markets and guarantee relatively equal access to them for financial institutions and agricultural enterprises.


Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 61-63 ◽  
Author(s):  
Akihiro Fujii

The Internet of Things (IoT) is a term that describes a system of computing devices, digital machines, objects, animals or people that are interrelated. Each of the interrelated 'things' are given a unique identifier and the ability to transfer data over a network that does not require human-to-human or human-to-computer interaction. Examples of IoT in practice include a human with a heart monitor implant, an animal with a biochip transponder (an electronic device inserted under the skin that gives the animal a unique identification number) and a car that has built-in sensors which can alert the driver about any problems, such as when the type pressure is low. The concept of a network of devices was established as early as 1982, although the term 'Internet of Things' was almost certainly first coined by Kevin Ashton in 1999. Since then, IoT devices have become ubiquitous, certainly in some parts of the world. Although there have been significant developments in the technology associated with IoT, the concept is far from being fully realised. Indeed, the potential for the reach of IoT extends to areas which some would find surprising. Researchers at the Faculty of Science and Engineering, Hosei University in Japan, are exploring using IoT in the agricultural sector, with some specific work on the production of melons. For the advancement of IoT in agriculture, difficult and important issues are implementation of subtle activities into computers procedure. The researchers challenges are going on.


Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 765
Author(s):  
David Garcia-Retuerta ◽  
Pablo Chamoso ◽  
Guillermo Hernández ◽  
Agustín San Román Guzmán ◽  
Tan Yigitcanlar ◽  
...  

A smart city is an environment that uses innovative technologies to make networks and services more flexible, effective, and sustainable with the use of information, digital, and telecommunication technologies, improving the city’s operations for the benefit of its citizens. Most cities incorporate data acquisition elements from their own systems or those managed by subcontracted companies that can be used to optimise their resources: energy consumption, smart meters, lighting, irrigation water consumption, traffic data, camera images, waste collection, security systems, pollution meters, climate data, etc. The city-as-a-platform concept is becoming popular and it is increasingly evident that cities must have efficient management systems capable of deploying, for instance, IoT platforms, open data, etc., and of using artificial intelligence intensively. For many cities, data collection is not a problem, but managing and analysing data with the aim of optimising resources and improving the lives of citizens is. This article presents deepint.net, a platform for capturing, integrating, analysing, and creating dashboards, alert systems, optimisation models, etc. This article shows how deepint.net has been used to estimate pedestrian traffic on the streets of Melbourne (Australia) using the XGBoost algorithm. Given the current situation, it is advisable not to transit urban roads when overcrowded, thus, the model proposed in this paper (and implemented with deepint.net) facilitates the identification of areas with less pedestrian traffic. This use case is an example of an efficient crowd management system, implemented and operated via a platform that offers many possibilities for the management of the data collected in smart territories and cities.


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