Optimization model for cropping-plan placement in paddy fields considering agricultural profit and nitrogen load management in Japan

An optimization model for cropping-plan placement on field plots is presented for supporting decision-making on agricultural management by a farming organization. The mixed 0–1 programming technique is employed to select the next planting crop at each field plot in a holistic manner. Reduction of to...

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Bibliographic Details
Published in:Paddy and water environment 2012-06, Vol.10 (2), p.113-120
Main Authors: Chono, Shunsuke, Maeda, Shigeya, Kawachi, Toshihiko, Imagawa, Chie, Buma, Natsuki, Takeuchi, Junichiro
Format: Article
Language:English
Subjects:
Agricultural management
Agricultural production
Agriculture
Biomedical and Life Sciences
Cereal crops
Crop planting
Crops
Decision making
Decision support systems
Drainage canals
Ecotoxicology
Farming
Geoecology/Natural Processes
Hydrogeology
Hydrology/Water Resources
Life Sciences
Nitrogen
Objective function
Optimization
Organizations
Placement
Policies
Rice
Rice fields
Soil Science & Conservation
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Summary:An optimization model for cropping-plan placement on field plots is presented for supporting decision-making on agricultural management by a farming organization. The mixed 0–1 programming technique is employed to select the next planting crop at each field plot in a holistic manner. Reduction of total nitrogen discharged from field plots to the downstream end of the drainage canals is expressed as an objective function of the model to balance an achievement of economic goal and environmental conservation. Some Japanese governmental policies on regulating rice cropping areas and on promoting production of particular upland field crops can be formulated in the model. A computational example of cropping-plan placement on field plots managed under integrated policies is given by operating the optimization model with various weights associated with the objectives. The procured trade-off curve and corresponding patterns of cropping-plan could be useful in the decision-making by the farming organization.
ISSN:1611-2490
1611-2504
DOI:10.1007/s10333-011-0272-4