Estimation of the spatial distribution of spring barley yield using ground-based and satellite spectrophotometric data

International Scientific Conference «AGRITECH-2019: Agribusiness, Environmental Engineering and Biotechnologies»

农业科学;生态环境科学;生物科学

Shevyrnogov, A.P.^1 ; Yu Botvich, I.^1 ; Yemelianov, D.V.^1 ; Larko, A.A.^1 ; Ivchenko, V.K.^2 ; Demianenko, T.N.^2

Institute of Biophysics SB RAS, Federal Research Center, Krasnoyarsk Science Center, SB RAS, Krasnoyarsk, Akademgorodok

660036, Russia^1

Krasnoyarsk State Agrarian University, Krasnoyarsk

660049, Russia^2

关键词: Crop development;    Field experience;    Optical characteristics;    Precision agriculture technology;    Resource-saving technologies;    Spatial resolution;    Spring barley yields;    Vegetation index;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/315/3/032023/pdf
DOI  :  10.1088/1755-1315/315/3/032023

来源: IOP

【 摘 要 】

The article presents a method for estimating the spatial distribution of spring barley yield, based on the use of optical ground and satellite spectral data (PlanetScope data with a spatial resolution of 3 meters). This approach is highly relevant for the development of precision agriculture technologies. Yield mapping is carried out on the basis of data on the spatial distribution of the actual yield and the spatial distribution of the spectral optical characteristics. The method's characteristic feature is the use of the integral values of vegetation indices (NDVI, MSAVI2, ClGreen) at various stages of crop development. The method was tested on the basis of stationary field experience, where traditional agriculture (deep plowing) is compared with resource-saving technologies (subsurface and surface plowing, and direct seeding with zero tillage).