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??????????? ????????:? SlantRange, stress ??????????, ??????Повний текст:
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Savin, I. Yu., Vernyuk, Yu .I., Faraslis, G. (2015) The possible use of pilotless aircrafts for operative monitoring of soil productivity. Bulletin of the V.V. Dokuchaev Soil Institute, 80, 95-105.
https://doi.org/10.19047/0136-1694-2015-80-95-105
Savin, I. Yu., Kozubenko, I. S. (2018) Possibilities of satellite data usage in agricultural insurances. RUDN Journal of Agronomy and animal industries, 13 (4), 336-343.
https://doi.org/10.22363/2312-797X-2018-13-4-336-343
Mathyam Prabhakar, Gopinath, K. A., Reddy, A. G .K., Thirupathi, M., Ch. Srinivasa Rao (2019). Mapping hailstorm damaged crop area using multispectral satellite data. The Egyptian Journal of Remote Sensing and Space Science, 22 (1), 73-79.
https://doi.org/10.1016/j.ejrs.2018.09.001
Lai, Y.R. , Pringle, M.J., Kopittke, P.M., Menzies, N.W., Orton, T.G., Dang, Y.P. (2018). An empirical model for prediction of wheat yield, using time-integrated Landsat NDVI. International Journal of Applied Earth Observation and Geoinformation, 72, 99-108.
https://doi.org/10.1016/j.jag.2018.07.013
Geng Bai, Yufeng Ge, Waseem Hussain, P. Stephen Baenziger, George Graef (2016). A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding. Computers and Electronics in Agriculture, 128, 181-192/
https://doi.org/10.1016/j.compag.2016.08.021
Kyratzis, A., Skarlatos, D., Fotopoulos, V., Vamvakousis, V., Katsiotis, A. (2015). Investigating Correlation among NDVI Index Derived by Unmanned Aerial Vehicle Photography and Grain Yield under Late Drought Stress Conditions. Procedia Environmental Sciences, 29, 225-226.
https://doi.org/10.1016/j.proenv.2015.07.284
Saberioona, M.M., Amina, M.S.M., Anuarb, A.R., Gholizadehc, A., Wayayokd, A., Khairunniza-Bejoda Smart, S. (2014) Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale. International Journal of Applied Earth Observation and Geoinformation,.32, 35-45.
https://doi.org/10.1016/j.jag.2014.03.018
Lysenko, V., Opryshko, O., Komarchuk, D., Pasichnyk, N., Zaets, N., Dudnyk, A. (2017) Usage of Flying Robots for Monitoring Nitrogen in Wheat Crops. The 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 1, 30-34.
https://doi.org/10.1109/IDAACS.2017.8095044
Korobiichuk, I., Lysenko, V., Opryshko, O., Komarchyk, D., Pasichnyk, N., Ju?, A. (2018). Crop monitoring for nitrogen nutrition level by digital Automation 2018. AUTOMATION 2018. Advances in Intelligent Systems and Computing, 743. Springer, Cham, 595-603.
https://doi.org/10.1007/978-3-319-77179-3_56
Aitazaz A. Farooque, Young K. Chang, Qamar U. Zaman, Dominic Groulx, Arnold W. Schumann, Travis J. Esau (2013). Performance evaluation of multiple ground based sensors mounted on a commercial wild blueberry harvester to sense plant height, fruit yield and topographic features in real-time Computers and Electronics in Agriculture, 91, 135-144/
https://doi.org/10.1016/j.compag.2012.12.006
F. Pallottino, F.Antonucci, C.Costa, C.Bisaglia, S.Figorilli, P.Menesatti (2019). Optoelectronic proximal sensing vehicle-mounted technologies in precision agriculture: A review Computers and Electronics in Agriculture, 162, 859-873.
https://doi.org/10.1016/j.compag.2019.05.034
Jes??s Mart?n Talavera, Luis Eduardo Tob??n, Jairo Alejandro G??mez, Mar?a Alejandra Culman, Juan Manuel Aranda, Diana Teresa Parra, Luis Alfredo Quiroz, Adolfo Hoyos, Luis Ernesto Garreta (2017). Review of IoT applications in agro-industrial and environmental fields. Computers and Electronics in Agriculture, 142 (A), 283-297.
https://doi.org/10.1016/j.compag.2017.09.015
Lysenko, V., Komarchuk, D., Pasichnyk, N., Opryshko, O., Awtoniuk, M., Martsyfei, A. (2018). Information Support of Remote Monitoring of Grain Crops Biomass Amount as the Feedstock to Load Biogas Reactors. 2018 International Scientific-Practical Conference on Problems of Infocommunications Science and Technology, 35-38.
https://doi.org/10.1109/INFOCOMMST.2018.8632090
Shvorov, S.A., Komarchuk, D. S., Pasichnyk, N. A., Opryshko, O. O., Gunchenko, Yu. A., Kuznichenko, S. D. (2018). UAV Navigation and Management System Based on the Spectral Portrait of Terrain. 2018 IEEE 5th International Conference on Methods and Systems of Navigation and Motion Control, MSNMC 2018, Proceedings, 68-71.
https://doi.org/10.1109/MSNMC.2018.8576304
Pasichnyk, N. A., Opryshko, O. O., Komarchuk, D. S., Miroshnyk, V. O. (2019). Experience in using mathcad to analyze data from UAVS for remote sensing of crops. Naukovyi visnyk NUBiP Ukrainy. Seriia: Ahronomiia, 244-250.
DOI: https://doi.org/10.31548/energiya2019.05.063
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