The most widely practiced task to manage pests and diseases in outdoor and greenhouse conditions is to spray pesticides on crops. The frequency and the amount of pesticide not only affect the healthy growth of the crops but also the financial and environmental costs. For this reason, the appropriate frequency and amount should be predicted and applied.
AI can reduce financial and environmental costs by efficiently and uniformly spraying pesticides using data from crops affected by time, place, or pesticides.
|Data||Data type||Content||Use mode|
|Input data||CSV||Weather Information(temperature, humidity, solar radiation, CO2 amount)
Crop data(varieties etc
Pesticide data(product characteristics, Input time, Input amount)
|Output data||CSV||Prediction of pesticide application amount
|Payment||Subscription method||Attached file upon application|
|Prepaid charge||Online||Customer data required for model creation|
|API Setting||$1,800 ~|