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

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 fordomestic organic farming. In this study, we developed an organic material recommendati...

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Veröffentlicht in:한국토양비료학회지 2021, 54(4), , pp.423-431
Hauptverfasser: Cho-Rong Lee, Sang-Min Lee, Hyun Young Hwang, Jae-Hoon Shin, Jung-Hun Ok, Hong-Shik Nam, Jung-Lai Cho, Kwang-Su Kim, Nan-Hee An
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Zusammenfassung: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 fordomestic 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 thefertilizer 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 indexthan standard rate of fertilizer. This program was also implemented to Korea Soil Information System. Thissystem will be useful for farmers to make decisions that meet their specific needs, such as organic resources,crop nutrient requirements, and environmental regulatory policies. KCI Citation Count: 0
ISSN:0367-6315
2288-2162