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

A. Afonin, B. Kopzhassarov, E. Milyutina, E. Kazakov, A. Sarbassova, A. Seisenova

Результат исследований: Научные публикации в периодических изданияхстатья

Аннотация

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.

Язык оригиналаанглийский
Число страниц12
ЖурналHellenic Plant Protection Journal
Том13
Номер выпуска1
Ранняя дата в режиме онлайн21 дек 2019
DOI
СостояниеОпубликовано - янв 2020

Предметные области Scopus

  • Агрономия и растениеводство
  • Прикладная ботаника

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