Weed Control Decision Support System Based on Precision Agriculture Approach
Abstract: Herbicides have been
widely used for weed control in modern agriculture. However the use of herbicides
is potentialy introducing negative impact to the environment due to excessive
use of herbicides. Based on precision agriculture principles, unique and
precise treatment of herbicide supply for a particular area for crop production
must be performed. The objective of this research is to develop a decision
support system (DSS) for schedulling of weed spraying and for selecting the
proper nozzle size of the sprayers that introduce minimum negative impact to
the environment. The main set of data required for our proposed system includes
the set of 10 years weather data series acquired from remote sensing (NOAA and
TRMM) and a set of vegetation index from MODIS EVI. The weather data set is
utilized to determine the planting time period of paddy crop and to determine
the proper size of the sprayers for weed spraying. Our DSS prototype has been
implemented and tested with real data set in Jonggol district, West Java,
Indonesia. The implementation, testing results, and future enhancement of our
system are discussed in this paper.
Keywords: DSS, precision
agriculture, weed control, herbicides, spray drift, weather pattern, temporal data
Author: Rizky Mulya Sampurno,
Kudang Boro Seminar, Yuli Suharnoto
Kode Jurnal: jptkomputergg140062
