Oleksandr Averchev
Ukrainian Institute of Plant Varieties Expertise, Kyiv, UkrainePublications
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Review
A review on the use of artificial intelligence and deep learning algorithms in crops phytosanitary monitoring
Author(s): Pavlo Lykhovyd*, Liudmyla Hranovska, Iryna Bidnyna, Tetiana Marchenko, Oleksandr Averchev, Liubov Leliavska, Tetiana Khomenko, Oleksandr Haydash, Maiia Hetman and Yevhen Hnylytskyi
The article presents a review of current applications and capacities of artificial intelligence in identifying pests and diseases of common agricultural crops. The review is created based on the literature search, conducted using Google Scholar engine. In total, 42 recent scientific papers (22 published in journals and 20 conference proceedings), which were published within last five years, were analysed and included into this review. Scientific papers providing incomplete data, controversial and biased information were excluded from the review. Mainly open access sources were included into the review. As a result, it was established that current artificial intelligence applications in phytosanitary monitoring of crops allow a great decrease in the mistakes in pests and diseases identification, as well as a reduction in the expenses of labour and time for manual observations. Generall.. Read More»
DOI: 10.5281/zenodo.200121