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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 3, pp. 165-177

Changes in the spectral characteristics of cultivated and weed plants under the influence of mineral fertilizers in agrocenoses of the North-West of Russia

A.M. Shpanev 1 , V.V. Smuk 1 
1 Agrophysical Research Institute, Saint Petersburg, Russia
Accepted: 04.05.2022
DOI: 10.21046/2070-7401-2022-19-3-165-177
The use of mineral fertilizers is an essential part of effective agricultural production throughout the world. In our country, it is especially important to improve the nutrition regime of cultivated plants on low-fertile sod-podzolic soils of the North-West region. At the same time, the application of fertilizers can lead to changes in the spectral characteristics of cultivated and weed plants, which makes it difficult to interpret the data obtained from remote sensing of the Earth using satellites or unmanned aerial vehicles in relation to assessing the phytosanitary state of agrocenoses. The study of the characteristics of the reflectivity of cultivated plants and weeds and its variability under the influence of applied mineral fertilizers was carried out on the experimental basis of the Menkovsky branch of the Agrophysical Research Institute in 2020. The objects of hyperspectral ground measurements were spring barley and potato plants, as crops that are widely distributed in the North-West of Russia, as well as the most typical weed species for agrocenoses of these crops. Statistical processing confirmed the presence of significant differences in the reflective properties of cultivated and weed plants in the near infrared range, and for spring barley – in the entire range of measurements (320–1100 nm). These differences were clearly identified both in the initial period of plant development and in the middle of the growing season. Under the influence of mineral fertilizers, an increase in the reflectivity of spring barley plants and most types of weeds was observed, mainly due to the near infrared range. Within the fertilized variant, the spectral brightness of spring barley leaves turned out to be higher than on weeds, while on the unfertilized variant it was lower. The results obtained indicate good prospects for the use of hyperspectral measurements in assessing weed growth in agrocenoses, including the spatially uneven distribution of weeds under the influence of mineral fertilizers, and the differentiated use of herbicides provided for by the precision farming system.
Keywords: spring barley (Hordeum vulgare L.), potato (Solanum tuberosum L.), weeds, mineral fertilizers, ground-based hyperspectral measurements, spectral characteristic, spectral brightness factor
Full text

References:

  1. Antonov V. N., Sladkikh L. A., Crop monitoring and spring wheat yields forecasting basing on remote sensing data, Geomatika, 2009, No. 4, pp. 50–53 (in Russian).
  2. Arkhipova O. E., Kachalina N. A., Tyutyunov Yu. V., Kovalev O. V., Weediness Assessment of Anthropogenic Phytocenoses on the Basis of Satellite Remote Sensing Data (A Case Example of Common Ragweed), Issledovaniya Zemli iz kosmosa, 2014, No. 6, pp. 15–26 (in Russian), DOI: 10.7868/S0205961414050017.
  3. Ashmarin I. P., Vasiliev N. N., Ambrosov V. A., Bystrye metody statisticheskoi obrabotki i planirovanie eksperimentov (Fast methods of statistical processing and planning of experiments), Leningrad: Leningradskii gosudarstvennyi universitet, 1971, 78 p. (in Russian).
  4. Bogdanov V. L., Osipov A. G., Garmanov V. V., Methodology for monitoring of lands contamination by Sosnovsky’s hogweed according to remote sounding data, Izvestiya Sankt-Peterburgskogo gosudarstvennogo agrarnogo universiteta, 2020, No. 59, pp. 69–74 (in Russian), DOI: 10.24411/2078-1318-2020-12069.
  5. Grigoriev A. N., Ryzhikov D. M., General methodology and results of spectroradiometric research of reflective properties of the Heracleum Sosnowskyi in the range 320–1100 nm for Earth remote sensing, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 1, pp. 183–192 (in Russian), DOI: 10.21046/2070-7401-2018-15-1-183-192.
  6. Danilov R. Yu., Kremneva O. Yu., Ismailov V. Ya., Tretyakov V. A., Rizvanov A. A., Krivoshein V. V., Pachkin A. A., General methodology and results of ground-based hyperspectral studies of seasonal changes in the reflective properties of agricultural crops and certain types of weeds, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 1, pp. 113–127 (in Russian), DOI: 10.21046/2070-7401-2020-17-1-113-127.
  7. Ivchenko V. K., Demyanenko T. N., Shevyrnogov A. P., Botvich I. Yu., Emelyanov D. V., Larko A. A., The assessment of agrotechnical factors of barley cultivation on resource-saving technologies by means of land spectrometry, Vestnik Krasnoyarskogo gosudarstvennogo agrarnogo universiteta, 2019, No. 5, pp. 86–93 (in Russian).
  8. Kanash E. V., Litvinovich A. V., Kovleva A. O., Osipov Yu. A., Salnikov E., Grain productivity and optical characteristics in three wheat (Triticum aestivum L.) varieties under liming and nitrogen fertilizers, Sel’skokhozyaystvennaya biologiya, 2018, Vol. 53, No. 1, pp. 61–71 (in Russian), DOI: 10.15389/agrobiology.2018.1.61rus.
  9. Kachalina N. A., Arkhipova O. E., Grechishchev A. V., Weediness assessment of anthropogenic phytocenoses in Rostov region using hyperspectral remote sensing data, Informatsiya i kosmos, 2016, No. 1, pp. 131–136 (in Russian).
  10. Kondratiev K. Ya., Fedchenko P. P., Spektral’naya otrazhatel’naya sposobnost’ i raspoznavanie rastitel’nosti (Spectral reflectivity and vegetation recognition), Leningrad: Gidrometeoizdat, 1982, 216 p. (in Russian).
  11. Pisman T. I., Erunova M. G., Botvich I. Yu., Emelyanov D. V., Kononova N. A., Bobrovsky A. V., Kryuchkov A. A., Shpedt A. A., Shevyrnogov A. P., Informative value of spectral vegetation indices for assessment of weediness of agricultural crops according to ground-based and satellite data, Issledovanie Zemli iz kosmosa, 2021, No. 3, pp. 55–66 (in Russian), DOI: 10.31857/S0205961421030076.
  12. Podushin Yu. V., Fedulov Yu. P., Influence of agrotechnical factors on the content of chlorophyll in the leaves of winter wheat variety Nota, Trudy Kubanskogo gosudarstvennogo agrarnogo universiteta, 2009, No. 16, pp. 83–88 (in Russian).
  13. Polin V. D., Berezovsky E. V., Larina N. V., The use of optical sensors “GREENSEEKER” when using a herbicide, Reports of the Timiryazev Agricultural Academy, 2010, Issue 282, Part 1, pp. 310–313 (in Russian).
  14. Savin I. Yu., Dokukin P. A., Vernyuk Yu. I., Zhogolev A. V., On the impact of weediness on NDVI of spring barley crops, determined from MODIS satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 3, pp. 185–195 (in Russian), DOI: 10.21046/2070-7401-2017-14-3-185-195.
  15. Savin I. Yu., Shishkonakova E. A., Prudnikova E. Yu., Vindeker G. V., Grubina P. G., Sharychev D. V., Schepotiev V. N., Vernyuk Yu. I., Zhogolev A. V., About effect of weeds on spectral reflectance properties of winter wheat canopy, Sel’skokhozyaystvennaya biologiya, 2020, Vol. 55, No. 1, pp. 53–65 (in Russian), DOI: 10.15389/agrobiology.2020.1.53rus.
  16. Smuk V. V., Shpanev A. M., Weediness of potato crops placed after perennial grasses in leningrad region, Vestnik zashchity rastenii, 2016, No. 2(88), pp. 38–42 (in Russian).
  17. Smuk V. V., Shpanev A. M., Remote monitoring of weed infestation before and after potato emergence, Agrofizika, 2019, No. 4, pp. 46–53 (in Russian), DOI: 10.25695/AGRPH.2019.04.07.
  18. Fesenko M. A., Shpanev A. M., Photometric express diagnostics of mineral nutrition and phytosanitary conditions of grain crops, Agrofizika, 2019, No. 2, pp. 54–63 (in Russian), DOI: 10.25695/AGRPH.2019.02.08.
  19. Shpanev A. M., Experimental base for remote sensing of the phytosanitary state of agroecosystems in the North-West of the Russian Federation, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 3, pp. 61–68 (in Russian), DOI: 10.21046/2070-7401-2019-16-3-61-68.
  20. Shpanev A. M., Petrushin A. F., Methodological basis for studying spectral characteristics of the phytosanitary crops state, Agrofizika, 2017, No. 4, pp. 48–57 (in Russian).
  21. Shpanev A. M., Smuk V. V., Application of herbicides based on spectral measurements, Zemledelie, 2021, No. 1, pp. 37–40 (in Russian), DOI: 10.24411/0044-3913-2021-10109.
  22. Shpanev A. M., Laptiev A. B., Goncharov N. R., Voropaev V. V., Integrated protection of spring barley in the North-West of Russia, Zashchita i karantin rastenii, 2020, No. 6, pp. 30–36 (in Russian).
  23. Gerhards R., Christensen S., Real-time weed identification, decision making and path spraying in corn, sugarbeet, winter wheat and winter barley, Weed Research, 2003, Vol. 43, No. 6, pp. 385–392.
  24. Goel P. K., Prasher S. O., Patel R. M., Smith D. L., Ditommaso A., Use of airborne multi-spectral imagery for weed detection in field crops, Trans. ASAE, 2002, Vol. 45, No. 2, pp. 443–449.
  25. Merotto A. Jr., Bredemeier C., Vidal R. A., Goulart I. C. G. R., Bortoli E. D., Anderson N. L., Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture, Planta Daninha, 2012, Vol. 30, No. 2, pp. 437–447, DOI: 10.1590/S0100-83582012000200024.
  26. Samseemoung G., Soni P., Jayasuriya H. P. W., Salokhe V. M., Application of low altitude remote sensing (LARS) platform for monitoring crop growth and weed infestation in a soybean plantation, Precision Agriculture, 2012, Vol. 13, Issue 6, pp. 611–627, DOI: 10.1007/s11119-012-9271-8.
  27. Zheng H. B., Chen C., Fu Z. Q., Huang H., Research on canopy spectral characteristics of late rice populations with organic manure and chemical fertilizers, 17 th National Symp. Theory and Technology of Rice Quality and High Yield Sponsored by the Crop Science Society of China in 2017, 17–20 Aug. 2017, Anhui, China, 2017, pp. 6–13.