ANALYSIS OF TRADITIONAL METHODS FOR PREDICTING SOIL PRODUCTIVITY

dc.contributor.author	Khidirova Charos Murodilloevna
dc.contributor.author	Davronova Zarnigor Rizamat qizi
dc.date.accessioned	2025-12-29T11:30:41Z
dc.date.issued	2025-01-23
dc.description.abstract	The article also discusses modern methods of crop yield assessment and forecasting, including the use of regression analysis based on satellite data. Particular attention is paid to short-term and medium-term forecasts that meet the requirements of simplicity, cost-effectiveness and automation. The proposed approaches allow one to take into account the depth of the forecast, which determines the choice of intuitive or formalized methods. The work contributes to the development of tools for sustainable agriculture and the maintenance of soil ecosystem services.
dc.format	application/pdf
dc.identifier.uri	https://americanjournal.org/index.php/ajtas/article/view/2663
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/17181
dc.language.iso	eng
dc.publisher	American Journals Publishing
dc.relation	https://americanjournal.org/index.php/ajtas/article/view/2663/2510
dc.rights	https://creativecommons.org/licenses/by-nc/4.0
dc.source	American Journal of Technology and Applied Sciences; Vol. 32 (2025); 15-20
dc.source	2832-1766
dc.subject	Soil, plant, fertility, productivity, forecasting methods.
dc.title	ANALYSIS OF TRADITIONAL METHODS FOR PREDICTING SOIL PRODUCTIVITY
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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