Hybrid Certainty Factor and Dempster Shafer to Diagnose Shallot Disease in Precision Agriculture

Agriculture sector in Indonesia, especially the shallot commodity, is still problematic with many cases of farmers failing to harvest. Of the many causes of crop failure, one of the causes is disease in plants which is very difficult to predict. This will be very detrimental not only to shallot farmers, the community will also be affected by the increase in the price of shallot in the market due to decreased production due to crop failure. So that diseases in shallot plants can be detected early, an expert system is made. This paper proposed hybrid method of Dempster-Shafer and Certainty Factor methods which are suiTable for disease expert systems. Experimental result shows that the two methods can also collaborate each other to produce more accurate disease diagnosis results.