Expert System for Oil Palm Leaves Deficiency to Support Precision Agriculture

Expert systems are an option in the implementation of agricultural cultivation, which can provide comprehensive information to make crop cultivation more precise. The expert program currently used in oil palm plants is still unable to provide accurate information on actual deficiencies. Thus, there is a need for an expert system that can provide valid information. This research creates an expert system in agriculture that can help farmers to make decisions by knowing the types of nutrient deficiencies in oil palm. Besides that, it can help the process of disseminating information and knowledge through applications that can be accessed at any time by farmers to save time and money and support their existence. Edge detection using the Sobel method and the Robert method using the High Pass Filter (HPF) is the basis for this expert system creation method. This expert system can be used for any type of mature oil palm plant where yellow spots are found, due to a lack of nutrients or deficiency. Diseases that arise due to deficiencies depend on each nutrient, in this study all deficiencies are specific to the upper part of the plant, namely leaves. Tests carried out 15 times resulted in the deficiency most often raised by oil palm trees due to the lack of primary essential nutrients, namely nitrogen nutrients. The validation assessment is then carried out by an expert (human) directly and assesses the deficiency directly, then from the results of the test and assessment, there are 11 images from 15 images that match the assessment by the expert.