Context-Aware Recommender System for Maize Cultivation

Recommender systems are smart applications that can deliver useful suggestions for users where large quantities of alternatives are available. Our application scenario is Maize cultivation where the developed application can guide farmers in choosing each and every package of practices that is required to be followed. The system considers the current context of each farmer which is believed to vary from one another. An ontology based multi agent system has been developed to recommend farmers starting from which variety to grow up until the method of harvesting to be followed.