KISAN: An Expert System for Soil Nutrient Management

This paper describes the suitability of application of expert system technology in agriculture and propose the development of a rule-based expert system, named KISAN, for the nutrients management of he soil. The proposed system uses the knowledge of visual deficiency symptoms, evident in the plants, to diagnose the nutrients deficiency/excess in the soil. This system has been developed in the Borland’s Turboprolog 2.0 environment. The visual deficiency symptoms of all the essential elements have been included in the knowledge base of the expert system. The system first finds out the deficiency/excess of nutrients in the soil and then recommends the name of suitable fertilizer taking in consideration some chemical properties of the soil. The results given by the system have been found to be consistent and sound. However, the diagnosis result has been found to be more accurate in the case of sever deficiencies.