KFU. Card publication. Remote sensing applications for predicting crop yields (on example of the municipal district of the Republic of Tatarstan)

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REMOTE SENSING APPLICATIONS FOR PREDICTING CROP YIELDS (ON EXAMPLE OF THE MUNICIPAL DISTRICT OF THE REPUBLIC OF TATARSTAN)

Form of presentation

Articles in international journals and collections

Year of publication

2016

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Authors, employees of KFU

Malganova Irina Grigorevna, author

Panasyuk Mikhail Valentinovich, author

Other authors

Sabirzyanov Almaz Mansurovich, author

Bibliographic description in the original language

Malganova I.G., Sabirzyanov A.M., Panasyuk M.V. (2016) Remote sensing applications for predicting crop yields (on example of the municipal district of the Republic of Tatarstan) // International Journal of Pharmacy and Technology. Vol.8 (3). P. 15081-15088.

Annotation

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.

Keywords

Biomass; Crop; Remote sensing; Satellite Images; Satellite system; Software; Spring wheat; Yield

The name of the journal

International journal of Pharmacy and Technology

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=143491&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Malganova Irina Grigorevna	ru_RU
dc.contributor.author	Panasyuk Mikhail Valentinovich	ru_RU
dc.contributor.author	Sabirzyanov Almaz Mansurovich	ru_RU
dc.date.accessioned	2016-01-01T00:00:00Z	ru_RU
dc.date.available	2016-01-01T00:00:00Z	ru_RU
dc.date.issued	2016	ru_RU
dc.identifier.citation	Malganova I.G., Sabirzyanov A.M., Panasyuk M.V. (2016) Remote sensing applications for predicting crop yields (on example of the municipal district of the Republic of Tatarstan) // International Journal of Pharmacy and Technology. Vol.8 (3). P. 15081-15088.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=143491&p_lang=2	ru_RU
dc.description.abstract	International journal of Pharmacy and Technology	ru_RU
dc.description.abstract	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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Remote sensing applications for predicting crop yields (on example of the municipal district of the Republic of Tatarstan)	ru_RU
dc.type	Articles in international journals and collections	ru_RU