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RSF: A recommendation system for farmers

Author Affiliations
Chittagong University of Engineering & Technology
Year2017
Citations37

Abstract

In this paper, we present a recommendation system named as RSF for farmers, which can recommend farmers most suitable crops to produce in different areas. The system first detects a user's location and works with different agro-ecological and agro-climatic data in upazila level to calculate similarity between upazilas using Pearson co-relation similarity algorithm. Then it selects top-n similar upazilas. Finally, utilizing the seasonal information and crop production rates of each crop of the similar upazilas, it recommends top-fc crops to a user of a upazila. The system has been evaluated with real data and we have found a reasonable and satisfactory accuracy. The system can help farmers in producing appropriate crops. As a result, they can increase their lifestyle and…
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