Abstract
The search for sustainable agriculture is leading many economies to turn to crop rotation systems and to abandon monoculture systems which generally require increased use of pesticides and synthetic fertilizers. But the optimization of crop rotation remains a challenge, especially when considering organic farming. This work tackles the optimization of crop rotation in traditional organic farms with plot adjacency constraints and nutrient amendments. In the present configuration, each farmer owns a certain quantity of rudimentary equipment and a number of workers, all considered as resources. Farms are subdivided into plots and each plot allows only one crop at a given period. At a given interval of time, each plot receives a certain quantity of nutrient. The generated rotations are of fixed durations for all plots and the objective is to maximize farmers’ income. A linear programming approach is used to determine the solution of the proposed farming model. Three levels of constraints are combined in the linear program to generate realistic rotations: (i) biophysical constraints including crop succession and plot adjacency; (ii) structural constraints including budget and resources; (iii) organizational constraints such as nutrient amendment and market demand. To evaluate the performance of the model, scenarios based on real-world data has been defined and solved using free solvers. The solutions obtained indicate that all the constrains are satisfied. In addition, farmers’ revenue is improved, reaching a stationary position when the quantity of available resources is equal or greater than the quantity of required resources. Finally, Cbc solver is faster than GLPK solver; and it provides solutions on larger instances where GLPK does not.
Highlights
GLPK is a solver written in the C programming language and organized as a callable library
It is a set of algorithms used to solve Linear Optimization Problems (LP), Mixed
This paper introduced a new modelling of realistic crop rotation system with plot
Summary
Plot adjacency constraints have been considered in [24] but authors did not take into account the impact of nutrients, or production activities on crop succession and crop yield. These crop rotation approaches provide an insight into the potential organization of an agricultural system, but they are still limited. The constraint-based farm planning model presented in this paper, targets on one hand the management of the farm divided into adjacent plots, the impact of the agricultural production activities defined by data on operations, crops, and crop families to generate an optimal yield based on expert data and farmer inputs. This paper ends with a conclusion and perspectives for future work
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