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

Osinnii, O.; Averchev, O.; Lavrenko, S.; Lykhovyd, P.

dc.contributor.author	Osinnii, O.
dc.contributor.author	Averchev, O.
dc.contributor.author	Lavrenko, S.
dc.contributor.author	Lykhovyd, P.
dc.date.accessioned	2024-01-07T16:24:01Z
dc.date.available	2024-01-07T16:24:01Z
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. Scientific Papers. Series A. Agronomy, Vol. LXVI, No. 1, 2023. Р. 502-507. ISSN 2285-5785; ISSN CD-ROM 2285-5793; ISSN Online 2285-5807; ISSN-L 2285-5785	ru
dc.identifier.uri	http://hdl.handle.net/123456789/8658
dc.publisher	Scientific Papers. Series A. Agronomy, Vol. LXVI, No. 1, 2023. Р. 502-507. ISSN 2285-5785; ISSN CD-ROM 2285-5793; ISSN Online 2285-5807; ISSN-L 2285-5785	ru
dc.subject	artificial neural network,	ru
dc.subject	regression, 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