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Prototype Spatio-temporal Predictive System of pest development of the codling moth, Cydia pomonella, in Kazakhstan. / Afonin, A.; Kopzhassarov, B.; Milyutina, E.; Kazakov, E.; Sarbassova, A.; Seisenova, A.

в: Hellenic Plant Protection Journal, Том 13, № 1, 01.2020.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Afonin, A, Kopzhassarov, B, Milyutina, E, Kazakov, E, Sarbassova, A & Seisenova, A 2020, 'Prototype Spatio-temporal Predictive System of pest development of the codling moth, Cydia pomonella, in Kazakhstan', Hellenic Plant Protection Journal, Том. 13, № 1. https://doi.org/10.2478/hppj-2020-0001

APA

Afonin, A., Kopzhassarov, B., Milyutina, E., Kazakov, E., Sarbassova, A., & Seisenova, A. (2020). Prototype Spatio-temporal Predictive System of pest development of the codling moth, Cydia pomonella, in Kazakhstan. Hellenic Plant Protection Journal, 13(1). https://doi.org/10.2478/hppj-2020-0001

Vancouver

Afonin A, Kopzhassarov B, Milyutina E, Kazakov E, Sarbassova A, Seisenova A. Prototype Spatio-temporal Predictive System of pest development of the codling moth, Cydia pomonella, in Kazakhstan. Hellenic Plant Protection Journal. 2020 Янв.;13(1). https://doi.org/10.2478/hppj-2020-0001

Author

Afonin, A. ; Kopzhassarov, B. ; Milyutina, E. ; Kazakov, E. ; Sarbassova, A. ; Seisenova, A. / Prototype Spatio-temporal Predictive System of pest development of the codling moth, Cydia pomonella, in Kazakhstan. в: Hellenic Plant Protection Journal. 2020 ; Том 13, № 1.

BibTeX

@article{f23c166cfb8e4dd5bebb4b09e810363d,
title = "Prototype Spatio-temporal Predictive System of pest development of the codling moth, Cydia pomonella, in Kazakhstan",
abstract = "A prototype for pest development stages forecasting is developed in Kazakhstan exploiting data from the geoinformation technologies and using codling moth as a model pest in apples. The basic methodology involved operational thermal map retrieving based on MODIS land surface temperature products and weather stations data, their recalculation into accumulated degree days maps and then into maps of the phases of the codling moth population dynamics. The validation of the predicted dates of the development stages according to the in-situ data gathered in the apple orchards showed a good predictivity of the forecast maps. Predictivity of the prototype can be improved by using daily satellite sensor datasets and their calibration with data received from a network of weather stations installed in the orchards.",
keywords = "Codling Moth, day degrees, land surface temperature, meteorological stations, plant protection, remote sensing",
author = "A. Afonin and B. Kopzhassarov and E. Milyutina and E. Kazakov and A. Sarbassova and A. Seisenova",
year = "2020",
month = jan,
doi = "10.2478/hppj-2020-0001",
language = "English",
volume = "13",
journal = "Hellenic Plant Protection Journal",
issn = "1791-3691",
publisher = "De Gruyter",
number = "1",

}

RIS

TY - JOUR

T1 - Prototype Spatio-temporal Predictive System of pest development of the codling moth, Cydia pomonella, in Kazakhstan

AU - Afonin, A.

AU - Kopzhassarov, B.

AU - Milyutina, E.

AU - Kazakov, E.

AU - Sarbassova, A.

AU - Seisenova, A.

PY - 2020/1

Y1 - 2020/1

N2 - A prototype for pest development stages forecasting is developed in Kazakhstan exploiting data from the geoinformation technologies and using codling moth as a model pest in apples. The basic methodology involved operational thermal map retrieving based on MODIS land surface temperature products and weather stations data, their recalculation into accumulated degree days maps and then into maps of the phases of the codling moth population dynamics. The validation of the predicted dates of the development stages according to the in-situ data gathered in the apple orchards showed a good predictivity of the forecast maps. Predictivity of the prototype can be improved by using daily satellite sensor datasets and their calibration with data received from a network of weather stations installed in the orchards.

AB - A prototype for pest development stages forecasting is developed in Kazakhstan exploiting data from the geoinformation technologies and using codling moth as a model pest in apples. The basic methodology involved operational thermal map retrieving based on MODIS land surface temperature products and weather stations data, their recalculation into accumulated degree days maps and then into maps of the phases of the codling moth population dynamics. The validation of the predicted dates of the development stages according to the in-situ data gathered in the apple orchards showed a good predictivity of the forecast maps. Predictivity of the prototype can be improved by using daily satellite sensor datasets and their calibration with data received from a network of weather stations installed in the orchards.

KW - Codling Moth

KW - day degrees

KW - land surface temperature

KW - meteorological stations

KW - plant protection

KW - remote sensing

UR - http://www.scopus.com/inward/record.url?scp=85078078957&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/393b86cf-aa38-319f-823a-0a699608e9af/

U2 - 10.2478/hppj-2020-0001

DO - 10.2478/hppj-2020-0001

M3 - Article

AN - SCOPUS:85078078957

VL - 13

JO - Hellenic Plant Protection Journal

JF - Hellenic Plant Protection Journal

SN - 1791-3691

IS - 1

ER -

ID: 51941900