Identification, assessment and ordering of concepts for agro-energy planning and possibilities of spatial analysis

Cervi, Walter Rossi; Lamparelli, Rubens Augusto Camargo; Berni, Mauro Donizeti; Rocha, Jansle Vieira

doi:10.1590/1809-4430-eng.agric.v35n6p1210-1223/2015

Cited by 2 publications

(1 citation statement)

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“…This change is attributable to several factors such as the reduction in harvesting cost, the decreasing supply of skilled labor and, principally, the Agro Environmental Protocol proposed by the sugarcane industry association UNICA (União da Indústria de Cana-de-Açúcar) and the government of the state of São Paulo. This protocol established the complete elimination of the practice of sugarcane burning in 2017 (Cervi et al, 2015). Solano et al (2017) identified the main technical factors that affect the implementation of mechanized harvesting systems.…”

Section: Introductionmentioning

confidence: 99%

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

Cherri

Vianna

Ramos

et al. 2019

Sci. agric. (Piracicaba, Braz.)

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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.

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Section: Introductionmentioning

confidence: 99%