Information × Registration Number 2119U006536, Article popup.category Препринт Title Automatic Plant Counting using Deep Neural Networks (AI translated) popup.author Pidhirniak OlehPidhirniak Oleh popup.publication 01-01-2019 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/1334 popup.publisher Description Crop counting is a challenging task for today’s agriculture. Increasing demand for food supplies creates a necessity to perform farming activities more efficiently and precisely. Usage of remote sensing images can help to better control the population of the plants grown and forecast future yields, profits and disasters. In this study we offer a series of approaches for plant counting using foreground extraction algorithms, deep neural networks. The study introduces innovative to the field approach of densely distributed plants counting using density map regression with the accuracy of 98.9% on palm oil trees dataset. popup.nrat_date 2025-11-05 Close
Pidhirniak Oleh. Automatic Plant Counting using Deep Neural Networks (AI translated)
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published. 2019-01-01;
Український католицький університет, 2119U006536