Перегляд по Автору "Vozhehova, R."

Зараз показуються 1-6 з 6

Energy efficiency of sweet corn cultivation at drip irrigation in dependence on depth of plowing, fertilization and plants density

Vozhehova, R.; Ushkarenko, V.; Kokovikhin, S.; Biliaieva, I.; Lykhovyd, P.; Lavrenko, N.; Mrynskyi, I. (Bulgarian Journal of Agricultural Science). Volume 26, Issue 4, 2020, Pages 885-889, 2020)

Modern cultivation technologies should provide resource and energy saving. There is an evident tendency to energy and climate smart agriculture strengthening because of the necessity of natural and energy resource saving. ...
Modelling Saffiower Seed Productivity in Dependece on Cultivation Technology by the Means of Multiple Linear Regression Model

Vozhehova, R.; Fedorchuk, M.; Kokovikhin, S.; Lykhovyd, P.; Nesterchuk, V.; Mrynskii, I.; Markovska, O. (Polish Society of Ecological Engineering, 2019)

The results of the study devoted to the evaluation of reliability of the multiple linear regression model for safflower seed yields prediction were presented. Regression model reliability was assessed by the direct comparison ...
Remote sensing data and machine learning to predict yields of major crops on regional scale

Lykhovyd, P.; Vozhehova, R.; Hranovska, L.; Averchev, O.; Tomnytskyi, A.; Avercheva, N.; Nikitenko, М.; Haievskyi, S.; Shalar, O. (Modern Phytomorphology, 2025-02)

Remote sensing and machine learning tandem is a powerful tool for crop monitoring and yield prediction. Current study is devoted to the evaluation of the relationship between five remote sensing indicators, affecting crop ...
Supervised machine learning in crop recognition through remote sensing: A case study for Ukrainian croplands

Averchev, О.; Vozhehova, R.; Avercheva, N.; Bidnyna, О.; Kozyriev, V.; Lykhovyd, P.; Marchenko, T.; Leliavska, L.; Haydash, О.; Hetman, М.; Piliarska1, О. (Article Type: Research J Name: Modern Phytomorphology, 2024-10-20)

Automated crop recognition is an important branch of modern agriculture. It provides wide opportunities for cropland mapping, crop rotations analysis, cropland structure and agricultural land use monitoring, etc. Remote ...
The effect of tillage system and fertilization on corn yield and water use efficiency in irrigated conditions of the South of Ukraine

Vozhehova, R.; Maliarchuk, M.; Biliaieva, I.; Markovska, O.; Maliarchuk, A.; Tomnytskyi, A.; Lykhovyd, P.; Kozyrev, V. (Biosystems Diversity, 2019)

Efficient water management in agriculture is an important part of the general programme on water resources preservation. This study is devoted to the determination of the effects of soil processing system and mineral ...
Using Remote Sensing Normalised Difference Vegetation Index to Rec-ognise Irrigated Croplands via Agroland Classifier Application

Averchev, O.V.; Lykhovyd, P. V.; Vozhehova, R. (Visnyk of V.N. Karazin Kharkiv National University, series «Geology. Geography. Ecology», 2024-12)

Formulation of the problem. Recognition between irrigated and non-irrigated croplands is an important task of modern agri-cultural science in order to ensure efficient management of water resources in agriculture and control ...

Перегляд по Автору "Vozhehova, R."

Перегляд по Автору "Vozhehova, R."

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