Characterizing Temporal Dynamic of Weather Variability to Support Decision Making on Weed Control

Abstract

Many factors should be considered before conducting weed control by spraying herbicide Those factors are: type of main crop, age of main crop, type of weed, density of weed, available herbicide, time for application, and weather factor. The objectives are to study of weather variable pattern of study area to determine the optimal time for spray application. Then develop an application to select sprayer setup for minimizing negative impact on the environment due to spray drift and other potential waste. The main material is weather data that derived from satellite remote sensing such as NOAA, TRMM and MODIS. The methods conducted are data preparation, data processing including image processing, and analysis. The results of this study are information that can be used as decision support on weed control. These are about suitable time for spray application and applicatior determine sprayer option based on vveather data.