Application of Wireless Sensor Networks for Digital Agriculture

Romanov, Volodymyr; Galelyuka, Igor; Antonova, Hanna; Kovyrova, Oleksandra; Hrusha, Volodymyr; Voronenko, Oleksander

doi:10.1109/idaacs.2019.8924267

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…The first is easier to design and requires less human work for battery replacements; however, it might be more expensive. Methods of calculating the sensor nodes energy demand is presented in [108,109].…”

Section: ) Sensor Nodes Placement and Interconnection In A Wsnmentioning

confidence: 99%

Technologies Driving the Shift to Smart Farming: A Review

Elbeheiry

Balog

2023

IEEE Sensors J.

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As today's agriculture industry is facing numerous challenges, including climate changes, encroachment of the urban environment and lack of qualified farmers, there is a need for new practices to ensure sustainable agriculture and food supply. Consequently, there is an emphasis on upgrading the farming practices by shifting towards Smart Farming (SF) -utilizing advanced information and communication technologies to improve the quantity and quality of the crop with minimal labor interference. SF has gained lots of interest in recent years utilizing a variety of technological innovations in the field, which imposes a challenge on farmers and technology integrators to identify the suitable technologies and best practices for a particular application. This paper provides a survey of the most recent SF scientific literature to identify common practices toward technology integration, challenges, and solutions. The survey was conducted on 588 papers published on the IEEE database following Cochrane methods to ensure appropriate analysis and interpretation of results. The papers' contributions were analyzed to identify necessary technologies that constitute SF, and consequently, research themes were identified. The identified themes are sensors, communication, big data, actuators and machines, and data analysis. Besides presenting an in-depth analysis of each identified theme, the paper discusses integrating more than one technology in systems to achieve independency. The most common SF systems are remote monitoring, autonomous, and intelligent decision-making systems.

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Section: ) Sensor Nodes Placement and Interconnection In A Wsnmentioning

confidence: 99%

Technologies Driving the Shift to Smart Farming: A Review

Elbeheiry

Balog

2023

IEEE Sensors J.

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“…На початку тестування заряд акумуляторних батарей сенсорів складав 100 %. За період тестування заряд батарей зменшився до 29 %, що становило мінімально допустимий рівень напруги живлення для безвідмовної роботи компонентів мережі [16]. Таким чином було визначено, що розроблена мережа не втрачає працездатність у польових умовах експлуатації протягом місяця без заміни чи підзарядки елементів живлення.…”

Section: кібернетика та комп'ютерні технології в статті описана струк...unclassified

“…Слід зазначити, що підсистеми збору даних відіграють ключову роль у будь-якій смарт-системі, в основі якої лежать дані і у якій рішення приймають на основі обробки зібраних даних. До таких систем можна віднести системи моніторингу як у прецизійному або цифровому землеробстві, так і у захисті довкілля та охороні здоров'я[16,17]. Елементами розробленої смарт-системи для прецизійного землеробства або захисту довкілля чи екологічного моніторингу є кластери БСМ.…”

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Smart-Systems for Precision Agriculture, Environmental Protection and Healthcare

Romanov,

Galelyuka,

Hrusha

et al. 2023

Cybernetics and Computer Technologies

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Appearance of innovative tools of informatics in the world is determined by development of information-communication technology, microelectronics, sensor and biosensor technologies. Spreading of these technologies on precision agriculture, environmental protection and health care gives opportunity to create smart fields, gardens, greenhouses, forests and parks, and also smart health monitors, which estimate the health state of person as in rehabilitation, so in emergency situations. Results of research of authors in the development of new information technologies and creation of main components of the smart systems for different purposes on this base are shows in this paper. Main requirements for knowledge bank for precision agriculture and ecological monitoring are defined. Main principles of creating knowledge bank on base of requirements are proposed. The typical smart system models and their development stages are considered. Structure of wireless multilevel networks for the estimation of state of biological objects of different origin and their nodes are described. Developed sensor networks and smart systems for agriculture are considered. Structure of proposed smart system for agriculture and ecological monitoring is given. Approaches for chlorophyll fluorescence induction curves analysis are studied. Results of network testing for the estimation of the autonomous work time of network nodes and possible errors are given. Wireless sensor network and smart system for remote medical monitoring are described. Diagnostic smart systems for estimation of quality of life are considered. Medical communicator, computer device on base of tablet computer, was used for their development. The short form of Survey Instrument (SF-36) for life quality estimation and abnormal uterine bleeding questionnaire, which was developed in State Scientific Institution "Center for Innovative Medical Technologies of the National Academy of Sciences of Ukraine", were embedded in communicator. STEPS questionnaire which was designed for epidemiological monitoring of the prevalence of noncommunicable diseases and their risk factors in the target subpopulations could be added to communicator. Development of smart systems for estimation of quality of life and prevalence of noncommunicable diseases was made in cooperation with R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology NAS of Ukraine (department of research management and innovation), Chebotarev Institute of Gerontology of the National Academy of Medical Sciences of Ukraine, Center for Innovative Medical Technologies of the National Academy of Sciences of the Ukraine. Keywords: wireless sensor network, precision agriculture, chlorophyll fluorescence induction, express-diagnostics of plant state, quality of life, SF-36.

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“…Глушкова НАН України бездротову сенсорну мережу для експрес-діагностики рослин та моніторингу довкілля. Склад, моделювання та роботу БСМ докладно описано у роботах [4,5]. Робота кластеру БСМ базується на вимірюванні сенсором індукції флуоресценції хлорофілу рослини.…”

Section: кібернетика та комп'ютерні технологіїunclassified

Application the Wireless Sensory Network Cluster in Digital Agriculture

Antonova

Kedych

2022

Cybernetics and Computer Technologies

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The authors made a review of "Information technology of express-estimation of plant state in large territories in stressful environment." The essence of digital agriculture and its main components are briefly described. The main part of the article describes the cluster of Wireless Sensor Network. The main components of the cluster and the principle of the cluster are given. The work of the cluster is based on the "Information technology of express-estimation of plant state in large territories in stressful environment." This technology is based on the method of chlorophyll fluorescence induction. The introduction of new information technology into industrial digital agriculture will make it possible to determine in real time the condition of plants suffering from the influence of one or another stress factor and develop an appropriate managerial decision to compensate the influence of a certain factor. The main technical requirements for the wireless node of the cluster are the ability to work in the field conditions; easy location on the plant; low cost; lightweight up to 25 g, small size, etc. The WSN cluster is intended for use in the agricultural sector and for environmental monitoring. Using the data collected by the cluster and an express analysis of the state of plants is carried out, which allows making the necessary managerial decision on the use of fertilizers, fungicides, pesticides, herbicides and the need for irrigation. The authors took into account that the cultivation of corn for grain occupies a large sector in the agrarian sector of Ukraine and is an urgent task. The authors analyzed the industrial technology of growing of crop for grain and it was adapted for the information technology for measuring the CFI. The main points of the technological process for the use of the WSN cluster in industrial agriculture on the example of corn are determined, and on their basis, a scheme for measuring the CFI of plants by the WSN cluster was developed. A brief step-by-step methodology has been developed for using the WSN cluster in measuring the CFI of corn. The authors also presented an analysis of energy consumption in the WSN and proposed the ways to improve the energy efficiency of the WSN nodes. Keywords: sensors, wireless sensor network, express diagnostics of plant, smart agriculture.

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Application of Wireless Sensor Networks for Digital Agriculture

Cited by 9 publications

References 11 publications

Technologies Driving the Shift to Smart Farming: A Review

Technologies Driving the Shift to Smart Farming: A Review

Smart-Systems for Precision Agriculture, Environmental Protection and Healthcare

Application the Wireless Sensory Network Cluster in Digital Agriculture

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