Vestnik On-line
Orenburg State University november 20, 2024   RU/EN
Headings of Vestnik
Pedagogics
Psychology
Other

Search
Vak
Антиплагиат
Orcid
Viniti
ЭБС Лань
Rsl
Лицензия Creative Commons

June 2016, № 6 (194)



Zhelezova S.V., Ananiev A.A., Vyunov M.V., Berezovsky E.V. WINTER WHEAT CROP SURVEY WITH UNMANNED AERIAL VEHICLE AND OPTICAL SENSOR GREENSEEKER® RT200Using of unmanned aerial for crop survey by NDVI is expedient. Passive sensors (cameras) are using for survey, so the results depend on lighting conditions at the photographing time. For the calibration and verification of remote data from passive sensor it is necessary to conduct ground surveys by sensor with active radiation source. The using of Unmanned Aerial Vehicle (UAV) SenseFly AG eBee (camera Canon S110 NIR) for monitoring of winter wheat was shown. Normalized Difference Vegetation Index (NDVI) was measured by remote passive NIR camera and at the same time on the field by optical sensor GreenSeeker® RT200 with active light source. Using of active light source optical sensor is a standard method for NDVI measurement and it should be used for passive sensor calibration and correction of the results. Linear relationship is used for correction passive sensor measurement of NDVI value at the early crop stages (from seadling to tillering). Logarithmic equation is used for correction at the later crop stages. Crops UAV survey gives precise and repeatable measurements of NDVI distribution in the fields at different stages of crops development. It is demonstrated on the series of synchronic near the ground and remote surveys during the active growing season. Key words: NDVI, unmanned aerial vehicle, winter wheat, crop survey.

Download
References:

1. Buzhinskij E. Prioritety razvitiya bespilotnikov: ot voennogo dela k ehkonomike / Indeks bezopasnosti № 3 (106), V. 19, 2014. — p. 123–132. [in Russian]

2. Grishina Yu.S. Drony na sluzhbe miru // Robototekhnika i sistemnyj analiz. 2015. Vypusk 1. p. 80–85. [in Russian]

3. Larin Ya.А., Usmanova V.R., Zheleznyakov D.V. BPLА grazhdanskogo naznacheniya // V sbornike: Issledovaniya molodykh uchenykh — vklad v innovatsionnoe razvitie Rossii / Аstrakhan', 2014. p. 188–189. [in Russian]

4. Korotaev А.А., Novopashin L.А. Primenenie bespilotnykh letatel'nykh apparatov dlya monitoringa sel'skokhozyajstvennykh ugodij i posevnykh ploshhadej v agrarnom sektore // Аgrarnyj vestnik Urala. 2015. № 12. p. 38–42. [in Russian]

5. Smetnev А.S., Zimin V.K., Yudin YU.B., Skobeev I.N. Ispol'zovanie bespilotnykh letatel'nykh apparatov v sel'skokhozyajstvennom proizvodstve // Vestnik Rossijskogo gosudarstvennogo agrarnogo zaochnogo universiteta. 2015. № 18 (23). p. 51–56. [in Russian]

6. Savin I.Yu., Vernyuk Yu.I., Faraslis I. Vozmozhnosti ispol'zovaniya bespilotnykh letatel'nykh apparatov dlya operativnogo monitoringa produktivnosti pochv // Byulleten' Pochvennogo instituta im. V.V. Dokuchaeva. 2015. № 80. p. 95–105. [in Russian]

7. Shumilov Yu.V., Danilov R.Yu., Kostenko I.А., Danilova А.V., Semochkin K.V., Pachkin А.А. Primenenie bespilotnykh letatel'nykh apparatov (BPLА) v tekhnologii tochnogo zemledeliya / Molodoj uchenyj. 2015. № 9-2 (89). p. 146–147. [in Russian]

8. Petrushin А.F., Mitrofanov E.P. Opyt ispol'zovaniya BPLА dlya monitoringa sostoyaniya sel'skokhozyajstvennykh zemel' // Materialy Vseross. nauchn. konf.: Primenenie sredstv distantsionnogo zondirovaniya Zemli v sel'skom khozyajstve. Sankt-Peterburg: FGBNU АFI, 2015. p. 81–84. [in Russian]

9. Zhelezova S.V., V'yunov M.V., Berezovskij E.V., Vasin K.V. Primenenie bespilotnoj aehrofotos"emki dlya otsenki sostoyaniya pochvy i posevov na Polevoj opytnoj stantsii RGАU-MSKHА im. K.А.Timiryazeva // Materialy Vseross. nauchn. konf.: Primenenie sredstv distantsionnogo zondirovaniya Zemli v sel'skom khozyajstve. Sankt-Peterburg: FGBNU АFI, 2015. p. 76 — 80 [in Russian]

10. Muсoz-Huerta Rafael F. et al. A Review of Methods for Sensing the Nitrogen Status in Plants: Advantages, Disadvantages and Recent Advances Rosalia V. Ocampo-Velazquez. / Rafael F. Muсoz-Huerta, Ramon G. Guevara-Gonzalez, Luis M. Contreras-Medina, Irineo Torres-Pacheco, Juan Prado-Olivarez // Sensors. 2013, 13, p. 10823–10843. DOI:10.3390/s130810823. URL: http://www.mdpi.com/1424-8220/13/8/10823

11. Berezovskij E.V., Zhelezova S.V., Gusev D.V. Ispol'zovanie opticheskikh sensorov dlya upravleniya produktsionnym protsessom ozimoj pshenitsy // Materialy mezhdunar. nauch. — prakt. konf.: Geoinformatsionnye tekhnologii v sel'skom khozyajstve. Orenburg, OGАU. 2013. p. 171–176 [in Russian]

12. Walsh O. et al. Use of soil moisture data for refined GreenSeeker sensor based nitrogen recommendations in winter wheat (Triticum aestivum L.) / Olga S. Walsh, A. R. Klatt, J. B. Solie, C. B. Godsey, W. R. Raun. // Precision Agriculture. 2013, 14, p. 343–356. DOI 10.1007/s11119-012-9299-9. URL: http://link.springer.com/content/pdf/10.1007%2Fs11119-012-9299-9.pdf

13. Jones C. L. et al. Remote sensing to estimate chlorophyll concentration in spinach using multi-spectral plant reflectance / C. L. Jones, P. R. Weckler, N. O. Maness, R. Jayasekara, M. L. Stone, D. Chrz // American Society of Agricultural and Biological Engineers ISSN 0001–2351. 2007. Vol. 50(6): p. 2267–2273. URL: http://nue.okstate.edu/Index_Publications/chl_conc_spinach.pdf

14. Erdle K., Mistele B. and Schmidhalter U. Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars // Stickstoff in Pflanze, Boden und Umwelt. 2011. p. 222. URL: http://www.stickstoff2011.uni-kiel.de/tagungsband/Tagungsband_2011.pdf

15. Kipp S., Mistele B. and Schmidhalter U. Influence of external effects on the accuracy of active canopy sensors // Stickstoff in Pflanze, Boden und Umwelt. 2011. p. 223. URL: http://www.stickstoff2011.uni-kiel.de/tagungsband/Tagungsband_2011. pdf

16. Zaman Allah M. et al. Unmanned aerial platform based multi spectral imaging for field phenotyping of maize // M. Zaman Allah, O. Vergara, J. L. Araus, A. Tarekegne, C. Magorokosho, P. J. Zarco Tejada, A. Hornero, A. Hernбndez Albа, B. Das, P. Craufurd, M. Olsen, B. M. Prasanna and J. Cairns / Plant Methods. 2015, 11:35. DOI 10.1186/s13007-015-0078-2 URL: http://digital.csic.es/bitstream/10261/125557/1/13007_2015_Article_78.pdf


About this article

Authors: Ananyev A.A., Berezovskiy E.V., Zhelezova S.V., Vyunov M.V.

Year: 2016


Editor-in-chief
Sergey Aleksandrovich
MIROSHNIKOV

Crossref
Cyberleninka
Doi
Europeanlibrary
Googleacademy
scienceindex
worldcat
© Электронное периодическое издание: ВЕСТНИК ОГУ on-line (VESTNIK OSU on-line), ISSN on-line 1814-6465
Зарегистрировано в Федеральной службе по надзору в сфере связи, информационных технологий и массовых коммуникаций
Свидетельство о регистрации СМИ: Эл № ФС77-37678 от 29 сентября 2009 г.
Учредитель: Оренбургский государственный университет (ОГУ)
Главный редактор: С.А. Мирошников
Адрес редакции: 460018, г. Оренбург, проспект Победы, д. 13, к. 2335
Тел./факс: (3532)37-27-78 E-mail: vestnik@mail.osu.ru
1999–2024 © CIT OSU