Multi-objective particle swarm optimization for mechanical harvester route planning of sugarcane field operations

Sethanan, Kanchana; Neungmatcha, Woraya

doi:10.1016/j.ejor.2016.01.043

Cited by 91 publications

(27 citation statements)

References 31 publications

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“…The scheduling of orange fruits and the modeling of crop planning have also been studied in a way that prioritizes the minimization of inputs . Other models successfully applied included the minimization of the timing of operations and the use of machinery in manual and mechanical harvesting operations, as well as work on the minimization of the gas emissions used in greenhouses …”

Section: Resultsmentioning

confidence: 99%

Towards the integration of lean principles and optimization for agricultural production systems: a conceptual review proposition

2019

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Operative planning in agricultural production has historically had the objective of improving yields and quality. Sowing, cropping, and harvesting are usually treated independently, and waste and the sustainability of operations are generally not integrated into operational planning methodologies for agricultural production. This study shows the need to have a clear and precise methodology to minimize waste in agricultural production systems to ensure sustainability. This need is addressed with a novel methodological guide to minimizing waste in agricultural operations, crop maintenance, and harvesting. The proposed methodology is founded on the use of lean manufacturing as a waste‐management tool. Lean manufacturing principles allow agricultural operations and the variables that represent wastes to be identified, mathematical models to be built, constraints to be defined, and the cost of waste to be illustrated, as well as its minimization through an objective function. To guide implementation, we propose a conceptual model to explain the construction of a mathematical model that represents the development of decision variables on agricultural operations with the elements to consider and the constraints and theoretical proposal of the necessary objective function. The proposed conceptual model and the constructed methodology constitute a novel development within agricultural production systems that could be used by decision makers and farmers. © 2019 Society of Chemical Industry

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Section: Resultsmentioning

confidence: 99%

Towards the integration of lean principles and optimization for agricultural production systems: a conceptual review proposition

2019

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“…For large herds, this technique becomes impractical because of the operational difficulties and labor shortages that are involved in the daily processing of this roughage feed (Sethanan and Neungmatcha 2016). The silage is therefore used to facilitate large-scale work and to provide other benefits; for example, it can be used to supply roughage during dry periods (Nussio et al 2003;Martins et al 2015;Gandra et al 2016) and to reduce production costs.…”

Section: Introductionmentioning

confidence: 99%

Nutritional profiles of three genotypes of sugarcane silage associated with calcium oxide

et al. 2017

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The objective of this study was to evaluate, based on chemical composition and in vitro dry matter (DM) digestibility, silages of different sugarcane genotypes after exposure to different doses of calcium oxide (CaO) and to identify that most appropriate dose for use in ruminant feed. The experiment was conducted using a completely randomized 3 9 4 factorial arrangement with three sugarcane genotypes ('IAC-862480', 'SP-791011' and 'CTC-3') and four levels of the additive CaO (0, 15, 30 and 45 g kg À1 ). A quadratic effect was observed (P < 0.05) for DM content in the silages of genotypes 'SP-791011' and 'CTC-3'. The organic matter content of genotypes 'SP-791011' and 'CTC-3' showed a negative linear effect that was associated with the addition of CaO, which promoted an increase in the mineral matter (MM) content in the silages. There was no effect (P > 0.05) of genotype or an interaction effect between genotype and CaO level on crude protein content in the silages. There was an interaction effect (P < 0.05) between genotype and CaO level on the level of neutral detergent fiber in the studied silages and the development of this interaction revealed a linear decrease in neutral detergent fiber in genotype IAC-86280 and a quadratic effect (P < 0.05) for genotypes 'SP-791011' and 'CTC-3'. Potentially degradable DM (pdDM) values showed a positive quadratic function with maxima at 34.8 g kg À1 CaO. The results obtained for potentially degradable neutral detergent fiber (pdNDF) showed that there was a negative linear effect for genotype 'SP-791011' and a quadratic effect with the maximum critical point for genotypes 'IAC-862480' and 'CTC-3'. Total DM losses decreased with levels of CaO. All genotypes evaluated showed potential for silage production. The addition of CaO in the ensiling of sugarcane at up to 45 g kg À1 reduces gas and effluent losses and increases the DM recovery of the silages.

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“…According to Sethanan and Neungmatcha [2], one of the important aspects to increasing sugarcane mechanized harvesting efficiency is the optimal planning of the harvesting. These authors noted that minimizing the distance traveled during the harvesting and maximizing the sugarcane production, many economic and environmental gains are achieved.…”

Section: Introductionmentioning

confidence: 99%

“…These studies present methodologies to optimize the sugarcane harvesting planning aiming to maximize sugarcane production; minimize costs related to harvesting; minimize the number of maneuvers of the harvester machine; optimize routes for the transport of machines and trucks and many others. The mathematical tools use continuous, discrete and heuristic optimization techniques [2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Mathematical Optimization Models in the Sugarcane Harvesting Process

Doriguel¹,

Crusciol²,

Florentino³

2018

Sugarcane - Technology and Research

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Over the past few decades, due to environmental and economic factors, the sugarcane has been considered a versatile and important plant to the several countries. The energysugar-ethanol agro-industries are seeking to take advantage of all its material, with the main products produced being renewable energy, sugar and ethanol. In this chapter, we propose to present a review of the important works that use mathematical and computational tools, aiming to optimize the sugarcane harvesting, in the past 30 years.

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Multi-objective particle swarm optimization for mechanical harvester route planning of sugarcane field operations

Cited by 91 publications

References 31 publications

Towards the integration of lean principles and optimization for agricultural production systems: a conceptual review proposition

Towards the integration of lean principles and optimization for agricultural production systems: a conceptual review proposition

Nutritional profiles of three genotypes of sugarcane silage associated with calcium oxide

Mathematical Optimization Models in the Sugarcane Harvesting Process

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