|Issue № 2||
Methods of ecological investigations
|D.Sc., assistant professor, Mytishi filial of Moscow state technology university, email@example.com|
|Ph.D., assistant professor, Mytishi filial of Moscow state technology university, firstname.lastname@example.org|
monitoring of the state of green spaces
internet of things
Summary: The need for automation and intelligent decision-making is becoming increasingly important in the development and implementation of modern technologies in all spheres of human society. The term “Internet of things” refers to the concept of a computer network of physical objects ("things") equipped with built-in technologies to interact and exchange data with each other and the external environment. The scope of care for woody plants in an urbanized environment and the care of green areas in cities is no exception. In monitoring the state of woody plants in an urbanized environment, diameter growth sensors that record cambial activity during the growing season can be of great importance. Dendroclimatic information contains significant potential for use in urban green economy. In particular, in combination with methods for visual assessment of the state of plantations, it can already be used in the practice of diagnosing an unfavorable soil water regime in urban plantations. In the future, it can become a reliable component in the system of intellectual control based on the concept of the Internet of things. In addition to woody plants, the most important component of landscaping urban green areas is lawns. "Rules of creation, maintenance and protection of green spaces of the city of Moscow" emphasize the need to maintain a proper level of soil moisture under lawns by regular watering, which must be quickly appointed depending on the weather, preventing soil from drying out and maintaining its constant moderate humidity.
© Petrozavodsk State University
Received on: 22 December 2019
Published on: 26 June 2020
Bayne K., Damessia S., Evans M. The internet of things – wireless sensor networcs and their application to forestry, New Zeland Journal of Forestry. 2017. Vol. 6 (14). P. 37–41.
Clark N. A., Wynne H., Schmoldt D. L. A review of past research on dendrometers, Forest Science. 2000. Vol. 46 (4). P. 570–576.
Mattihalli Ch., Gedefaye E., Endalamaw F., Necho A. Plant leaf diseases detection and auto-medicine, Internet of Things. 2018. Vol. 1–2. P. 67–73.
Morozov G. P. Biological features of tree species from the genetic and ecological point of view, Nauchnye osnovy selekcii hvoynyh drevesnyh porod. M.: Nauka, 1978. P. 27–44.
Rubcov I. N. Results of field tests of the developed automatic ring dendrometer with digital measuring element, Izvestiya Tul'skogo gosudarstvennogo universiteta. Ser.: Tehnicheskie nauki. 2016. No. 3. P. 90–96.
Rules of creation, maintenance and protection of green spaces of the city of Moscow. M.: Departament prirodopol'zovaniya i ohrany okruzhayuschey sredy, 2012. 138 p.
Rumyancev D. E. Cherakshev A. V. Dendroclimatic diagnostics of pine trees of the section Strobi in dendrological garden MGUL, Vestnik Moskovskogo gosudarstvennogo universiteta lesa – Lesnoy vestnik. 2013. No. 7 (99). P. 121–127.
Rumyancev D. E. Frolova V. A. Methodological approaches to the study of the diversity of ecosystem services of green spaces in megapolises, Mezhdunarodnyy nauchno-issledovatel'skiy zhurnal. 2019. No. 10 (88). Ch. 2. P. 28–34.
Sudachkova N. E. Cambial activity of conifers and its regulation, Nauchnye issledovaniya lesov buduschego. M.: Lesnaya promyshlennost', 1981. P. 165–172.
Tarhanova O. Yu. Application of wireless sensor networks in precision agriculture, Problemy informatiki. 2017. No. 4 (37). P. 1–31.
Vaganov V. A. Terskov I. A. Analysis of tree growth by the structure of annual rings. Novosibirsk: Nauka, 1977. 94 p.