Development of Organic Material Recommendation System for Organic Rice Using Linear Programming

Abstract

Fertilizer recommendation system (FRS) is a useful method for environmentally friendly agriculture. However, the conventional FRS does not deal with organic materials such as green manure and oilcake, which used for domestic organic farming. In this study, we developed an organic material recommendation system (OMRS) using linear programming. This procedure calculates the amount of organic material that maximizes the fertilizer effect under constraints such as N input range and C/N ratio. A combination of two organic materials, including green manure etc., is considered. The procedure was tested in the R statistic program using lp_solve, a library for the mixed integer linear programming solver. Application of this model increased rice yield index than standard rate of fertilizer. This program was also implemented to Korea Soil Information System. This system will be useful for farmers to make decisions that meet their specific needs, such as organic resources, crop nutrient requirements, and environmental regulatory policies.