– Gyeongsangbuk-do 「Data Flagship」 Final Selection –
Gyeongsangbuk-do announced that 'weather data-based agricultural disaster prediction and greenhouse environment optimization service development' was finally selected in the MSIT data flagship project contest, and 5.2 million won (total project cost) was secured.
The data flagship project supports the development of data-based innovative business models to solve local issues.
While developing an artificial intelligence (AI) model that predicts frost and pests* that have a major impact on the quality and productivity of apples, the main crop, the province develops an optimal greenhouse environment setting value for each growth stage of cucumbers and strawberries and provides them on the website and mobile will do
* Anthrax, layer rot, spotted deciduous disease, brown blotch, fruit burn disease
In the case of agricultural disaster (frost and pests) prediction service, it uses micro-weather* data in addition to meteorological data to boast high prediction accuracy, and also supports forecasting to farmers through mobile devices.
* Meteorological conditions at a height of 1.5 m above the ground that are closely related to crop growth
In addition, as farmers can inquire the optimal greenhouse environment setting values for each growth stage of cucumber and strawberry on the website, consultation costs for farmers to find the optimal greenhouse temperature and humidity, illuminance, and hydrogen ion concentration (PH) for each growth stage are greatly reduced.
“As data collection and analysis methods are advanced, the scope of solving local issues through data is expanding,” said Lee Jung-woo, director of Metaverse Policy in Gyeongbuk Province. said.