Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 3, pp. 79-86
Precision management of the nitrogen status of spring wheat crops based on remote sensing data
D.A. Matveenko
1 , V.V. Yakushev
1 , V.P. Yakushev
1 1 Agrophysical Research Institute, Saint Petersburg, Russia
Accepted: 19.03.2019
DOI: 10.21046/2070-7401-2019-16-3-79-86
The paper presents the results of estimating the effectiveness of various agricultural methods for operational precision management of the spring wheat nitrogen status based on proximal and airborne remote sensing of crops. The implementation of agricultural methods based on proximal sensing was carried out using an imported optical N-sensor, the variants of implementation differed in the methods of its calibration. The formation and subsequent realization of agricultural methods based on airborne remote sensing in the field conditions suggested a preliminary delineation of homogeneous technological zones by aerial images of crops, followed by generation of a target-card for applying nitrogen fertilizers for each technological zone. The aerial images were interpreted using the standard method and on the basis of specialized test sites formed in the field before sowing. The results of long-term field experiments show that all methods of variable-rate application of nitrogen fertilizers not only provide higher yield and better quality of production compared to traditional high-intensity technology, but also significantly reduce fertilizer inputs and the anthropogenic impact of crop production on the environment. The most effective proved to be a precision method of nitrogen dressing by the target-cards generated on the basis of aerial images of crops interpreted using the test sites. This approach provides the site-specific foliar fertilization of crops without the purchase of expensive imported sensors, that significantly reduces the cost of spring wheat cultivation and can be effectively used in the precision production of grain crops.
Keywords: precision agriculture, test site, nitrogen dressing, N-sensor, airborne remote sensing, remote sensing data, spring wheat
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