Remote sensing applications for predicting crop yields (On example of the municipal district of the Republic of Tatarstan)

dc.contributor.author	Malganova I.
dc.contributor.author	Sabirzyanov A.
dc.contributor.author	Panasyuk M.
dc.date.accessioned	2018-09-19T22:52:58Z
dc.date.available	2018-09-19T22:52:58Z
dc.date.issued	2016
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/145689
dc.description.abstract	© 2016,International Journal of Pharmacy and Technology. All rights reserved.Result of developed methodology is a forecasting of yield of grain crops on the basis of space monitoring and modeling of bioproductivity. To perform this task,it is recommended to use space scanner images of medium resolution data and daily defined weather stations. Based on space images processing site observations of Earth’s natural resources by Glovis parameters of plants such as biomass,leaf area index,monitoring the condition of crops from planting to harvesting is carried out,an advanced estimation of the yield and determination of optimum time of harvesting of grain crops is given.
dc.subject	Biomass
dc.subject	Crop
dc.subject	Remote sensing
dc.subject	Satellite Images
dc.subject	Satellite system
dc.subject	Software
dc.subject	Spring wheat
dc.subject	Yield
dc.title	Remote sensing applications for predicting crop yields (On example of the municipal district of the Republic of Tatarstan)
dc.type	Article
dc.relation.ispartofseries-issue	3
dc.relation.ispartofseries-volume	8
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	15081
dc.source.id	SCOPUS-2016-8-3-SID84992397150

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.