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Modeling drip-irrigated rice yield using normalized difference vegetation index: a preliminary study.

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dc.contributor.author Osinnii, O.
dc.contributor.author Averchev, O.
dc.contributor.author Lavrenko, S.
dc.contributor.author Lykhovyd, P.
dc.date.accessioned 2024-01-07T16:32:14Z
dc.date.available 2024-01-07T16:32:14Z
dc.date.issued 2023
dc.identifier.citation Osinnii O., Averchev O., Lavrenko S., Lykhovyd P. Modeling drip-irrigated rice yield using normalized difference vegetation index: a preliminary study. To be cited: Book of Abstracts, International Conference “Agriculture for Life, Life for Agriculture”, Section 1: Agronomy, 2023. P. 132. ru
dc.identifier.uri http://hdl.handle.net/123456789/8659
dc.publisher To be cited: Book of Abstracts, International Conference “Agriculture for Life, Life for Agriculture”, Section 1: Agronomy, 2023. P. 132. ru
dc.subject artificial neural network, ru
dc.subject regression, ru
dc.subject remote sensing, ru
dc.subject statistics, ru
dc.subject yielding scale. ru
dc.title Modeling drip-irrigated rice yield using normalized difference vegetation index: a preliminary study. ru
dc.type Article ru


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