КОНЦЕПТУАЛЬНІ ЕЛЕМЕНТИ ТЕХНОЛОГІЇ РОЗПОДІЛЕНОГО ПРОГНОЗУВАННЯ ВРОЖАЙНОСТІ СІЛЬСЬКОГОСПОДАРСЬКИХ КУЛЬТУР

Владислав ГНАТІЄНКО; Віталій СНИТЮК

doi:10.17721/3041-2323.2024.82-88

Authors

Vladyslav HNATIIENKO Taras Shevchenko National University of Kyiv Author
Vitalii SNYTYUK Taras Shevchenko National University of Kyiv Author

DOI:

https://doi.org/10.17721/3041-2323.2024.82-88

Keywords:

agricultural production, site-specific forecasting, forecasting accuracy

Abstract

The main objective of the research is to improve the accuracy of yield forecasting by developing data processing methods and neural network technologies. A yield forecasting technology will be developed, incorporating image recognition models for satellite image analysis and improving data quality in training sets, data processing methods, and deep neural networks in combination with other artificial intelligence models. Additionally, based on this technology, the efficiency and feasibility of applying certain agricultural practices will be studied, providing decision support in agricultural production.

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