A methodology to determine size and shape of plots for sugarcane plantation

Abstract

Brazil is the largest sugarcane producer in the world and the leader in the production of sugar and ethanol. Although sugarcane has become an important factor in the Brazilian economy, cultivation has presented many issues, for example, the problems due to burning before the manual harvest. The Brazilian authorities have approved a law that prohibits this practice and mechanized harvesting has thus become the most fitting approach. Given this development, areas for sugarcane plantation must be properly rebuilt to accommodate the new way of harvesting. The main characteristic demanded of sugarcane plots to use harvesting machines is that they must be rectangular. In the present paper, we propose a methodology for dividing the plantation area into plots and planning their allocation so as to accommodate mechanized harvesting. In view of the requirement for plots to be rectangular, we represented this problem as a two-dimensional cutting problem, and to find a solution we adopted the AND/OR graph approach. The computational experiments were conducted using real cases, and the proposed strategy was shown to perform well.

A review of mathematical optimization models applied to the sugarcane supply chain

“…This planning may be done by managers, technicians, or specialists who consider the conditions and climate of a region in determining a planting plan (Webb, 2014). However, current technological developments in sugarcane production (mechanized harvesting, for example), associated with the existing environmental, economic and administrative factors have made the decision-making process more complex and the use of mathematical models focusing on this stage has increased (Florentino et al, 2020;Cherri et al, 2019). An example of such recent technology employed is the use of drones to obtain information about the planted areas.…”