A Fruit Cultivation Recommendation System based on Pearson's Correlation Co-Efficient

Abstract

Fruit cultivation is an integral component of agricultural practices in Bangladesh. Farmers still use conventional methods of recommendation. As a consequence, they cannot choose suitable fruit crops based on soil requirements that hinder our economy. We tried to address the problem in this particular paper by proposing a recommendation system to guide farmers in finding the most appropriate crops for a particular soil. Using a mobile application, the proposed system works with the user's soil type and geological information to perform Pearson correlation similarity calculation for determining specific areas. The recommendation will subsequently be produced on the basis of the fruit production rate of the areas selected. The system will therefore decrease the incorrect choice of a fruit crop and thus increase productivity. Applying Precision and Recall method, the developed system is validated according to real data that provides satisfactory accuracy.