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Virtual Climate & Weather Station for Smart Farming

Jai-Ho Oh*, J.-H. Shim, J.-W. Oh and M.-R. HueNano C&W Co. Ltd. , Seoul, Korea

Recently, IPCC has set a new strategic plan on climate war to stabilize the current global

warming trend. The Paris Agreement central aim is to strengthen the global response to the threat of

climate change by keeping a global temperature rise this century well below 2 degrees Celsius above

pre-industrial levels and to pursue efforts to limit the temperature increase even further to 1.5

degrees Celsius. To reach these ambitious goals, the Paris Agreement requires all Parties to put

forward their best efforts through nationally determined contributions (NDCs) and to strengthen these

efforts in the years ahead

However, there is neither evidence that carbon removal could serve as a viable alternative to

emissions reduction nor it could stabilize the warming trend. The polar ice caps have melted faster

in last 20 years than in the last 10,000. The researchers found that the ice on the Greenland is

vanishing four times faster than it was in 2003. The recent research has concluded that there’s only

a 5 percent chance that the world can hold limiting below 2 degrees Celsius and a mere 1 percent

chance that it can be limited below 1.5 degrees Celsius.

Agriculture is influenced by weather condition rather than other environmental factors. Many

studies about the impact of weather or climate conditions to the output of agricultural products have

been done (Burhan and Handan, 2002; Chen et al, 2004). Menza and Silva (2009) mentioned that

meteorological variables affect resource availability and fundamental processes associated with crop

growth and development. Yield of crop can be also determined by weather or climate conditions

such as the amount of rainfall, seasonal trend, and meteorological disaster.

However, the future weather condition cannot be controlled, hence agrometeorological forecasting

service is very important to help most of the cultivations. Ministry of Agriculture and Forestry

(2001) conducted the development of regional climate prediction and application system for

agriculture. Subsequently, Shin and Lee (2014) suggested the practical use of information on seasonal

prediction to forecast agricultural productivity. Efforts have been vested towards advanced research

pertaining to application of seasonal prediction for agricultural productivity.

For a practical usage to agricultural community for smart farming, daily prediction data is used in

crop model. Moreover, ultra-high resolution prediction data is also useful especially over regions that

are deprived of observational data. Therefore, considering the needs of agricultural community, we

* Correspondence to : jjho2023@gmail.com

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constructed virtual climate and weather station to provide seamless agricultural environmental

condition from past to future. For prospect estimation of crop yield during growing season we have

introduced a high resolution synthetic method for temperature, precipitation and winds.

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