Improved Computer-oriented Method for Processing of Measurement Information on Greenhouse Microclimate

Laktionov, Іvan; Vovna, Oleksandr; Bashkov, Evgeniy A.; Зори, А.А.; Lebediev, V.A.

doi:10.7546/ijba.2019.23.1.71-86

Cited by 11 publications

(7 citation statements)

References 7 publications

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“…An additional challenge for greenhouses arises from the high density of sensors, which can lead to interference in the wireless signal due to proximity [ 105 , 112 , 180 ]. To mitigate this problem wired networks, such as CAN [ 100 ] or Ethernet [ 122 ], can be used. As shown in Table 5 , these technologies have been more used in greenhouses, because usually this type of agricultural environment is more appropriated for implementing wired networks.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, Table 6 shows that AWS IoT was used with a higher number of data processing techniques. Not all cloud-based platforms offer the same set of functionalities, but in general, they have capabilities for data storage [ 30 , 94 , 102 , 122 , 132 ], processing [ 194 ] and visualization [ 102 ] and action control on farms [ 34 ]. Furthermore, Table 6 also reveals that, even though there are multiple cloud-based platforms, several reviewed papers developed their own cloud-based platform for the IoT solution.…”

Section: Discussionmentioning

confidence: 99%

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A Systematic Review of IoT Solutions for Smart Farming

Navarro

Costa

Pereira

2020

Sensors

214

112

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The world population growth is increasing the demand for food production. Furthermore, the reduction of the workforce in rural areas and the increase in production costs are challenges for food production nowadays. Smart farming is a farm management concept that may use Internet of Things (IoT) to overcome the current challenges of food production. This work uses the preferred reporting items for systematic reviews (PRISMA) methodology to systematically review the existing literature on smart farming with IoT. The review aims to identify the main devices, platforms, network protocols, processing data technologies and the applicability of smart farming with IoT to agriculture. The review shows an evolution in the way data is processed in recent years. Traditional approaches mostly used data in a reactive manner. In more recent approaches, however, new technological developments allowed the use of data to prevent crop problems and to improve the accuracy of crop diagnosis.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A Systematic Review of IoT Solutions for Smart Farming

Navarro

Costa

Pereira

2020

Sensors

214

112

View full text Add to dashboard Cite

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“…Based on the analysis of scientific articles [6][7][8][9][10][11][12][13][14], it was established that the acidity measuring channel is an indispensable structural unit of monitoring and control systems for technological processes of growing greenhouse plants. Currently, a wide range of scientific papers is devoted to the research and implementation of high-precision microprocessor-based devices for non-destructive online monitoring of acidity in industrial greenhouse complexes.…”

Section: Analysis and Generalization Of Known Resultsmentioning

confidence: 99%

Computer-Integrated Device for Acidity Measurement Monitoring in Greenhouse Conditions with Compensation of Destabilizing Factors

Laktionov¹,

Vovna²,

Kabanets³

et al. 2020

I2M

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The purpose of the article is to improve procedures of computerized monitoring and control of technological processes of growing greenhouse crops by substantiating methods of improving the accuracy of computer-integrated devices for measuring irrigation solution acidity. The article solves the topical scientific and applied problem of determining the conversion characteristics of computerized acidity monitoring systems with integral and differential assessment of their metrological parameters. Theoretical and experimental studies were obtained based on structural-algorithmic synthesis methods for information-measuring systems; methods of mathematical planning of experiments; regression analysis of experimental data and the concept of uncertainty. The computerized acidity meter was implemented on the basis of an ion-selective pH electrode, Arduino microprocessor platform, and ThingSpeak cloud computing service. The relative total boundary uncertainty of acidity measurement is not more than ±1.1 %. Methods of compensating of the random component of uncertainty based on the median filtering algorithm and additional uncertainty from the destabilizing effect of temperature were introduced when implementing the measuring device. Promising areas of priority research to improve the efficiency of the developed computerized acidity meter were justified. The developed device can be used in the complex automation of greenhouse cultivation processes. The developed and implemented measuring tool can be used when planning agricultural operations in greenhouse conditions.

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“…In order to effectively control the productivity of greenhouse crops, it is necessary to perform continuous nondestructive measurement monitoring of a significant number of soil parameters, air-gas and irrigation solution, because without this it is impossible to determine the integrated state of the microclimate and generate signals of adaptive adjustment of technological processes in greenhouses [4][5][6][7].…”

Section: Bibliographic Review Critical Analysis and Logical Generaliz...mentioning

confidence: 99%

Information Model of the Computer-Integrated Technology for Wireless Monitoring of the State of Microclimate of Industrial Agricultural Greenhouses

Laktionov¹,

Vovna²,

Kabanets³

et al. 2021

I2M

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Currently, computer-integrated technologies are increasingly used, which leads to a continuous search for scientifically grounded ways of their development. Agriculture is one of such industries, whose needs require urgent modernization by introducing modern computer, sensor and infocommunication technologies. The purpose of the article is to develop scientific and applied foundations for improving computer-integrated systems for monitoring the state of the microclimate of agricultural greenhouses through the synthesis of an information model of the process of wireless exchange of observation results of physical and chemical parameters. Basic research methods: critical analysis and logical generalization; information and computer modelling; synthesis of structural and algorithmic organizations of computer-integrated technologies; probability theory; the concept of the Internet of Things; experimental testing of computer-integrated and infocommunication equipment. The scientific novelty of the results lies in the development of a method for network aggregation of measurement information, which, unlike the known ones, implements algorithms for detection and software elimination of typical errors in the operation of the system functional modules, which made it possible to reduce the likelihood of uncertainties in the measurement results from 0.6% to 0.01% during network transformation of information. The practical value of the results lies in the development and implementation of a software information model of local and remote aggregation, processing and visualization of the results of observations of the dynamics of the greenhouse microclimate parameters based on the concept of the Internet of Things.

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Improved Computer-oriented Method for Processing of Measurement Information on Greenhouse Microclimate

Cited by 11 publications

References 7 publications

A Systematic Review of IoT Solutions for Smart Farming

A Systematic Review of IoT Solutions for Smart Farming

Computer-Integrated Device for Acidity Measurement Monitoring in Greenhouse Conditions with Compensation of Destabilizing Factors

Information Model of the Computer-Integrated Technology for Wireless Monitoring of the State of Microclimate of Industrial Agricultural Greenhouses

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