Unmanned aerial vehicles for estimation of vegetation quality

Autores/as

  • A. Yu. Astapov Michurinsky State Agrarian University, Michurinsk, Russia
  • K. A. Prishutov Michurinsky State Agrarian University, Michurinsk, Russia
  • I. P. Krivolapov Michurinsky State Agrarian University, Michurinsk, Russia
  • S.Y. Astapov Michurinsky State Agrarian University, Michurinsk, Russia
  • A. A. Korotkov Michurinsky State Agrarian University, Michurinsk, Russia

Palabras clave:

ERS, aerial photography, UAV, vegetation index, vegetation, crop productivity.

Resumen

The use of Earth remote sensing (ERS) in agriculture is related with inventory of arable areas, detection of soil erosion, bogging. At present great attention is paid to studies devoted to determination of productivity of arable areas based on ERS data under various climatic conditions. Satellite images are characterized by certain drawbacks such as low resolution, impossibility to acquire images from behind clouds. A promising approach to obtain high precision maps is the use of unmanned aerial vehicles (UAV).
The degree of crop development is estimated by their NDVI which is used in numerous photometric instruments for diagnostics of plant nitrogenous nutrition. With this aim, the UAV camera detects plant reflection intensity of sunlight or induced light in red (P NIR) and infrared (P RED) spectra. Thus, it becomes necessary to determine mechanisms and interrelation of vegetation index which would permit to obtain data on crop productivity on the basis of data from UAV.

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Biografía del autor/a

A. Yu. Astapov, Michurinsky State Agrarian University, Michurinsk, Russia

Michurinsky State Agrarian University, Michurinsk, Russia

K. A. Prishutov, Michurinsky State Agrarian University, Michurinsk, Russia

Michurinsky State Agrarian University, Michurinsk, Russia

I. P. Krivolapov, Michurinsky State Agrarian University, Michurinsk, Russia

Michurinsky State Agrarian University, Michurinsk, Russia

S.Y. Astapov, Michurinsky State Agrarian University, Michurinsk, Russia

Michurinsky State Agrarian University, Michurinsk, Russia

A. A. Korotkov, Michurinsky State Agrarian University, Michurinsk, Russia

Michurinsky State Agrarian University, Michurinsk, Russia

Citas

Andrianova, Yu.E., Tarchevskii, I.A. (2000). Khlorofill i produktivnost' rastenii [Chlorophyll and plant productivity]. Moscow: Nauka.

Astapov, A.Yu., Prishutov, K.A., Astapova, S.S. (2018), Perspektivy ispol'zovaniya bespilotnykh letatel'nykh apparatov v sadovodstve [UAV in horticulture]. In V.A. Solopov Engineering support of innovative technologies in agribusiness industry. Proceedings, International conference, 159-162.

Eroshenko, F.V. (2011). Photosynthetic productivity of tall and short winter wheat: Doctoral thesis, Voronezh State University, Voronezh.

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Maselli, F., Rembold, F. (2001). Analysis of GAC NDVI data for cropland identification and yield forecasting in Mediterranean African countries. Photogrammetric Engineering and Remote Sensing, 67, 593-602.

Nikitin, V.I., Astapov, A.Yu. (2018). Fotogrammetricheskaya obrabotka izobrazhenii s bespilotnykh letatel'nykh apparatov [Photogrammetric plotting of images from UAV], Energy saving and efficiency in engineering systems. Proceedings; 5th International conference of students, young researchers, and experts, 170-172.

Prishutov, K.A., Astapov, A.Yu., Ryazanova, Yu.A. (2018). Primenenie BPLA dlya otsenki kachestva rastitel'nosti. [UAV for estimation of vegetation quality]. In V.A. Solopov Engineering support of innovative technologies in agribusiness industry. Proceedings, International conference, 212-217.

Storchak, I.G. (2016). Predicting winter wheat productivity using NDVI in Stavropol krai 06.01.01 – general farming agriculture, crop farming: Candidate thesis, Stavropol.

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Publicado

2019-10-11

Cómo citar

Astapov, A. Y., Prishutov, K. A., Krivolapov, I. P., Astapov, S., & Korotkov, A. A. (2019). Unmanned aerial vehicles for estimation of vegetation quality. Amazonia Investiga, 8(23), 27–36. Recuperado a partir de https://amazoniainvestiga.info/index.php/amazonia/article/view/839

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