Перегляд по Автору "Maliarchuk, A."

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Comparative Performance of ANN Predicting Soybean Yields from NDVI: Execution Time and CPU Usage in C and Python

Lykhovyd, P.; Lavrenko, S.; Lavrenko, N.; Revto, O.; Maliarchuk, A.; Maliarchuk, V. (2025)
Post-harvest application of biological residue decomposers and mulching: Effects on soil health and winter wheat yield

Zhuikov, O.; Lykhovyd, P.; Maliarchuk, V.; Maliarchuk, A. (2025)

Ensuring sustainable crop production while maintaining soil fertility is a critical challenge in the context of global climate change and increasing agricultural intensification. One promising approach involves the use of ...
Rule-based Artificial Intelligence for Automation of Irrigation Water Quality Analysis

Lykhovyd, P.; Lavrenko, S.; Lavrenko, N.; Revto, O.; Maliarchuk, A.; Maliarchuk, V. (2025 15th International Conference on Advanced Computer Information Technologies (ACIT), Sibenik, Croatia, 2025, pp. 896-901, https://doi.org/10.1109/ACIT65614.2025.11185611, 2025)
Sunflower: strategies and technologies for adaptive cultivation under climate change conditions

Revto, O.; Maliarchuk, A. (2025)
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 ...

Перегляд по Автору "Maliarchuk, A."

Перегляд по Автору "Maliarchuk, A."

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