Multi-objective economic-resource-production optimization of sustainable organic mixed farming systems with nutrient recycling

This paper addresses the optimal design of mixed crop-livestock farming systems for resource efficiency, economic profitability, and environmental sustainability. The trade-offs among profit, water productivity, and organic matter accumulation are considered. We propose a novel optimization model th...

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Vydáno v:Journal of cleaner production Ročník 196; s. 304 - 330
Hlavní autoři: Liang, Yingzong, Wai Hui, Chi, You, Fengqi
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 20.09.2018
Témata:
algorithms
case studies
cash crops
environmental sustainability
forage
livestock
livestock production
milk
Mixed farming systems
Multi-objective optimization
nitrogen cycle
organic production
profitability
soil organic matter
stubble
Sustainable production
water requirement
Mixed farming systems
Sustainable production
Multi-objective optimization
ISSN:0959-6526, 1879-1786
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Shrnutí:This paper addresses the optimal design of mixed crop-livestock farming systems for resource efficiency, economic profitability, and environmental sustainability. The trade-offs among profit, water productivity, and organic matter accumulation are considered. We propose a novel optimization model that accounts for economics, crop cultivation, livestock production, water requirement, soil organic matter, and nitrogen cycling, among other important elements of organic farming systems. The resulting problem is a multi-objective mixed-integer nonlinear fractional programming (MINLFP) problem, which consists of fractional objective function and nonconvex nonlinear constraints. After reformulating the nonconvex constraints into convex ones, we propose a tailored global optimization algorithm to solve the resulting MINLFP problem. We further present a case study on a 100 ha organic mixed crop-livestock farm with 19 types of crops, 22 types of crop products, 3 type of livestock, and 2 types of animal products to illustrate the applicability of the proposed model and solution methods. Computational results suggest that it is more profitable to produce more high value cash crops and milk; it is more water efficient to grow cash crops than fodder; and it generates more soil organic matter accumulation by growing more crops with larger amount of root stubble and enlarging the heard size. [Display omitted] •Multi-objective optimization for mixed crop-livestock farming systems.•Tailored parametric algorithm for the global optimization of MINLFP problem.•High value cash crops and milk are more profitable to produce.•Cash crops have higher water productivity than fodder.•Increasing herd size can increase soil organic matter accumulation.
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ISSN:0959-6526
1879-1786
DOI:10.1016/j.jclepro.2018.06.040