Rostov-na-Donu, Rostov-on-Don, Russian Federation
employee
Voronezh, Voronezh, Russian Federation
The choice of technology and technical means for sowing seeds is formed on the basis of analytical information on the structural characteristics of areas for artificial reforestation. The identification of the trends in the development of aerial forest processes by unmanned aerial vehicles (UAV) is based on the methodology for a systematic review and patent search, taking into account the following criteria: the accuracy of the search, the inclusion of results, exclusion of results, extraction, and comparison of actual data. The main development trends are determined by: creation of aerial seeding technology on unsuitable and (or) inaccessible areas using UAVs with an integrated precision sowing device; development of new aerial control system, distinguished by the structure of closely integrated inertial-satellite monitoring system that provides for the loss of satellite measurements of the determination of all parameters of the motion of unmanned aerial vehicles by an autonomous algorithm, new types of sensors, functional components and algorithms for nonlinear filtering of positional parameters and parameters of angular motion of UAV; effective from the computational point of view, methodology of online monitoring of dynamic nonlinear objects based on information from electronic maps and satellite measurements; radically new complex studies of the relationship between the main operations of alternative presowing treatment and survival and preservation of forest cultures. The technology of forest aerial seeding during the development and setting for production will ensure: reduction in the environmental load on the environment and costs of artificial reforestation in these areas with simultaneous and subsequent monitoring of the results; optimal seed sowing schemes, taking into account the silvicultural requirements, and high-precision navigation of the UAV in the event of the loss of satellite measurements; use of high-quality reproductive material with specified qualitative characteristics, obtained with the use of technical means, which, at the earliest stage of processing, allocate viable color-seeded races, which are the basis for obtaining forest cultures with improved hereditary properties, and form seed-capsules with necessary physiological and physical and mechanical properties providing protective functions in the juvenile stage of ontogenesis.
forestry, artificial reforestation, development trends, sowing air, forest seeds, seed grading, qualitative characteristic, quantitative characteristic, unmanned aerial vehicles, navigation, inertial-satellite system, aerial seed system.
1. Babich O. A. Obrabotka informatsii v navigatsionnykh kompleksakh [Processing of information in navigation complexes]. Moscow: Mashinostroenie Publ., 1991. 512 p. (In Russian).
2. Dekatov N. E. Prosteyshie meropriyatiya po vozobnovleniyu lesa pri kontsentrirovannykh rubkakh [Simple ac-tions for renewal of forests in concentrated felling]. Leningrad : Goslestekhizdat Publ., 1936. 112 p. (In Russian).
3. Dekatov N. E., Zyuz' N. S. Ukazaniya po aerosevu semyan sosny i eli [Guidelines for aerial planting of seeds of pine and spruce]. Leningrad, 1956. 19 p. (In Russian).
4. Drapalyuk M. V. Perspektivnye tekhnologii vyrashchivaniya posadochnogo materiala v lesnykh pitom-nikakh [Perspective technologies of cultivation of planting material in forest nurseries]. Voronezh : VGU Publ., 2006. 247 p. (In Russian).
5. Ivanov V. K., Vinogradova N. V. Unifitsirovannaya metodika poiska patentnoy informatsii i obrabotki ego rezul'tatov [Standardized methods of searching patent information and processing of its results]. Izobretatel'stvo [The invention], 2014, vol. 14, no. 12, pp. 23-32. (In Russian).
6. Iroshnikov A. I. K voprosu ob ispol'zovanii aeroseva pri vnedrenii listvennitsy v Vologodskoy oblasti [To the question about the use of aerial seeding in the introduction of larch in the Vologda region]. Trudy instituta lesa i drevesiny Sibirskogo otdelenija akademii nauk SSSR [Proceedings of Institute of forest and wood of Siberian branch of the USSR Academy of Sciences], 1962, vol. 58, pp. 238-244. (In Russian).
7. Konovalov N. A., Pugach E. A. Osnovy lesnoy selektsii i sortovogo semenovodstva [The basis of forest breed-ing and varietal seed production]. Moscow: Lesnaya promyshlennost' Publ., 1978. 176 p. (In Russian).
8. Kopytkov V. V., Rodin A. R. Sozdanie lesnykh kul'tur na radioaktivno zagryaznennykh zemlyakh s ispol'zovaniem kompozitsionnykh polimernykh preparatov [The establishment of forest plantations on radio-contaminated lands using a composite polymeric drugs]. Vestnik Bryanskogo gosudarstvennogo universiteta [Bulletin of the Bryansk state University]. 2015, no. 1, pp. 355-359. (In Russian).
9. Melekhov I. S. Ocherk razvitiya nauki o lese v Rossii [Outline of the development of the science of forest in Russia]. Moscow: USSR Academy of Sciences Publ., 1957. 207 p. (In Russian).
10. Morkovina S. S., Drapalyuk M. V., Baranova E. V. Innovatsionnye tekhnologii v lesokul'turnom dele: real'nost' i perspektivy [Innovative technologies in silviculture: reality and prospects]. Lesotekhnicheskiy zhurnal [For-estry Engineering Journal]. 2015, vol. 5, no. 3 (19), pp. 327-338. (In Russian).
11. Nikolaev, A. I. Novye metody v otsenke kachestvennykh i kolichestvennykh kharakteristik lesnykh na-sazhdeniy [New methods in assessing qualitative and quantitative characteristics of forest stands]. Trudy Sankt-Peterburgskogo nauchno-issledovatel'skogo instituta lesnogo khozyaystva [Proceedings of the Saint Petersburg Forestry Research Institute]. 2016, no. 1, pp. 79-85. (In Russian).
12. Novikov A. I. Nekotorye tekhnologicheskie osobennosti sortiroval'nykh ustroystv i tendentsii ikh razvitiya [Some technological features of the sorting devices and development trends]. Les i molodezh' VGLTA - 2000 : materialy yubileynoy nauchnoy konfe-rentsii molodykh uchenykh, posvyashchen. 70-letiyu obrazovaniya Voronezhskoy gosudarstvennoy lesotekhnicheskoy akademii [Forest and youth VSAFE - 2000: proceedings of the anniversary scien-tific conference of young scientists dedicated to 70-th anniversary of VSAFE]. Voronezh, 2000, pp. 53-60. (In Russian).
13. Novikov A. I. Rol' kachestva lesosemennogo materiala v protsesse povysheniya effektivnosti leso-vosstanovleniya [The role of quality seed material in the process of improving the effectiveness of reforestation] / Aktual'nye napravleniya nauchnykh issledovaniy XXI veka: teoriya i praktika : sbornik nauchnykh trudov po materialam mezhdunarodnoy zaochnoy nauchno-prakticheskoy konferentsii [Recent research trends of the XXI century: the theory and practice: a collection of scientific papers on materials international extramural scientific-butpractical conference], Voronezh, 2015, vol. 3, no. 2-2 (13-2), pp. 61-63. (In Russian).
14. Pravdin L. F. Osnovnye zakonomernosti geograficheskoy izmenchivosti sosny obyknovennoy (Pinus silvestris L.) [The main regularities of the geographical variability of Scots pine (Pinus silvestris L.)]. Osnovy lesovedeniya i lesovodstva : dokl. na V lesn. Kongresse [Fundamentals of forest science and forestry : report on the 5-th forest Con-gress]. Moscow, 1960. pp. 245-250. (In Russian).
15. Shebshaevich V. S., Dmitriev P. P., Ivantsevich N. V. Setevye sputnikovye radionavigatsionnye sistemy [Network satellite radio navigation system]. Moscow: Radio i svyaz' Publ., 1993. - 408 p. (In Russian).
16. Skudneva, O. V. Bespilotnye letatel'nye apparaty v sisteme lesnogo khozyaystva Rossii [Drones in forestry of Russia]. Izv. vuzov. Lesnoy zhurnal [Bulletin of the higher educational institutions. Forestry Journals]. 2014, no. 6 (342), pp. 150-154. (In Russian).
17. Sokolov S. V., Pogorelov V. A. Stokhasticheskaya otsenka, upravlenie i identifikatsiya v vysokotochnykh navigatsionnykh sistemakh [Stochastic assessment, management and identification of high precision navigation sys-tems]. Moscow: Fizmatlit Publ., 2016. 264 p. (In Russian).
18. Aide T.M., Zimmerman J.K., Herrera L., Rosario M., Serrano M. Forest recovery in abandoned tropical pas-tures in Puerto Rico. Forestry Ecology Management, 1995, vol. 77, pp. 77-86.
19. AISWCD. Illinois Direct Seeding Handbook: reforestation guide. Direct Seeding Subcommittee, Associa-tion of Illinois Soil and Water Conservation Districts, Illinois Environmental Protection Agency, USA, 2003, 142 p.
20. Beyers, J.L. Postfire Seeding for Erosion Control : Effectiveness and impacts on native plant communi-ties. Conservative Biology, 2004, vol. 18, pp. 947-956.
21. Davies, K.W., Bates, J.D., Madsen, M.D., Nafus, A.M. Restoration of mountain big sagebrush steppe fol-lowing prescribed burning to control western Juniper. Environmental Management, 2014, vol. 53, pp. 1015-1022.
22. Derr H.J., Mann W.F. Direct-seeding pines in the south. Agriculture Handbook 391, Forest Service, USDA, Washington D.C., USA, 1971, 73 p.
23. Elliott S., Blakesley D., Hardwick K. Restoring tropical forests: a practical guide. Royal Botanic Gardens, Kew, UK, 2013, 344 p.
24. FAO. National socioeconomic surveys in forestry: guidance and survey modules for measuring the multiple roles of forests in household welfare and livelihoods. FAO Forestry Paper 179, Food and Agriculture Organization of the United Nations (FAO), Rome, Italy, 2016, 177 p.
25. Greipsson, S.; El-Mayas, H. Large-scale reclamation of barren lands in Iceland by aerial seed-ing. Land Degradation and Development, 1999, vol. 10, pp. 185-193.
26. Groen, A.H.; Woods, S.W. Effectiveness of aerial seeding and straw mulch for reducing post-wildfire ero-sion, north-western Montana, USA. International Journal Of Wildland Fire, 2008, vol. 17, pp. 559-571.
27. Kucherenko P.A., Sokolov S.V. Solution of the problem of identifying structures of discrete stochastic ob-jects based on the minimum posterior error criterion of distribution densities. Automatic control and computer scienc-es, 2016, vol. 50, no. 1, pp. 28-36. doi:https://doi.org/10.3103/S0146411616010065.
28. Levack H.H. The Kaingaroa air sowing era 1960-71. New Zealand Journal of Forestry, 1973, vol. 18, no. 1, pp. 104-108.
29. Orians, G.H., Pfeiffer E.W. Ecological effects of the war in Vietnam. Science, 1970, vol. 168, pp. 544-554.
30. Peppin D., Fule P.Z., Hull Sieg C., Beyers J.L., Huntera M.E. Post-wildfire seeding in forests of the western United States: An evidence-based review. Forest Ecology and Management, 2010, vol. 260, pp. 573-586.
31. Pogorelov V.A., Sokolov, S.V. Solution to the problem of the close integration of satellite and inertial plat-form navigation systems. Cosmic Research, 2015, vol. 53, no. 6, pp. 458-468. doi:https://doi.org/10.1134/S0010952515060040.
32. Pullin A.S., Stewart G.B. Guidelines for systematic review in conservation and environmental management. Conservation Biology, 2006, vol. 20, no. 6, pp. 1647-1656.
33. Pyke D.A., Wirth, T.A., Beyers J.L. Does seeding after wildfires in rangelands reduce erosion or invasive species? Restoration Ecology, 2013, vol. 21, pp. 415-421.
34. Salychev O.S. Applied inertial navigation: problems and solutions. Moscow: BMSTU Press, 2004.
35. Scherban I.V., Sokolov S.V. Integration of satellite and inertial navigational systems on the basis of nonline-ar filtering theory // Middle East Journal of Scientific Research (MEJSR), 2013, vol. 2, pp. 275-282.
36. Shono K. Cadaweng E.A., Durst P.B. Application of assisted natural regeneration to restore degraded tropi-cal forestlands. Restoration Ecology, 2007, vol. 15, pp. 620-626.
37. Sokolov S.V. The Synthesis Problem of the Optimum Control for Nonlinear Stochastic Structures in the Multistructural Systems and Methods of Its Solution. Stochastic Control, Chris Myers (Ed.). InTech, 2010, pp. 371-391. doi:https://doi.org/10.5772/9741.
38. Sokolov S.V. Stochastic Observation Optimization on the Basis of the Generalized Probabilistic Criteria. Stochastic Modeling and Control, Prof. Ivan Ivanov (Ed.), InTech, 2012, ch. 9, pp. 171-184. doi:https://doi.org/10.5772/39266.
39. Sokolov S.V. Analytical models of spatial trajectories for solving navigation problems. Journal of Applied Mathematics and Mechanics, 2015, vol. 79, no. 1, pp. 17-22. doi:https://doi.org/10.1016/j.jappmathmech.2015.04.013.
40. Sokolov S.V., Yugov Y.M. Stochastic filtering of satellite navigation measurements using invariant model of the target // Radioelectronics and Communications Systems, 2013, vol. 56, no. 2, pp. 95-99. doi:https://doi.org/10.3103/S0735272713020052.
41. Sowing Forests from the Air. National Research Council, The National Academies Press, Washington D.C., USA, 1981, 62 p. doi:https://doi.org/10.17226/19670.
42. Strehlke B. Forestry and employment. FAO Forestry Paper, 1982, vol. 31, pp. 36-39.
43. Sturmer J. Climate change in drones' sights with ambitious plan to remotely plant nearly 100,000 trees a day. 2017. Available at: http://mobile.abc.net.au/news/2017-06-25/the-plan-to-plant-nearly-100,000-trees-a-day-with-drones/8642766 [(Accessed 08 July 2017]
44. The National Forestry Development State Foresty Administration Office. China Forestry Development Divi-sion; China Forestry Publishing House. Beijing, China, 2011, pp. 62-92.
45. Tripathi K.P., Singh B. Species diversity and vegetation structure across various strata in natural and planta-tion forests in Katerniaghat Wildlife Sanctuary, North India. Tropical Ecology, 2009, vol. 50, pp. 191-200.
46. Valverde U.Y., Nadeau J.-P., Scaravetti D. A new method for extracting knowledge from patents to inspire designers during the problem solving phase. Journal of Engineering Design, 2017, vol. 28, no 6, pp. 369-407.
47. Zhai M.P. Concept for vegetation rehabilitation and construction in the North-west Region of China. Journal of Soil and Water Conservation, 2003, vol. 1, pp. 60-63.
48. Zhang Y., Song C. Impacts of afforestation, deforestation, and reforestation on forest cover in China from 1949 to 2003. Journal of Forestry, 2006, vol. 104, no 7, pp. 383-387.
