Supporting Brazilian smallholder farmers decision making in supplying institutional markets

Fuchigami, Helio Yochihiro; Tuni, Andrea; Barbosa, Luísa Queiroz; Severino, Maico Roris; Rentizelas, Athanasios

doi:10.1016/j.ejor.2021.02.047

Cited by 11 publications

(11 citation statements)

References 47 publications

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“…Broad range focus with transdisciplinary approach [33,34] Still limited in pest, agricultural production or climate and still in one or two scientific disciplines[35, 36] Accessibility for farmers Almost all farmers have access [37] Only a few that have access [38,39] Farmers' acceptance In some countries, farmers are skeptical about the DSS and do not use DSS [40] Farmers need the DSS, but only a few have access to the DSS [25,38] 2nd…”

Section: Focusmentioning

confidence: 99%

“…In developing countries, the opposite might happen (table 1). The DSS in some developing countries has not been established yet or the accessibility of farmers to the DSS remains troublesome [16,38]. In some cases, the distribution and maintaining the program is expensive and needs a lot of investment [25].…”

Section: Implementation Of Dss In Developing Countriesmentioning

confidence: 99%

“…In developing countries, such as Brazil, smallholder farmers are the most vulnerable communities. They do not have a stable income due to inconsistent access to markets [38]. Due to this, the Brazilian government develops a DSS to help accessing the markets [38].…”

Section: Implementation Of Dss In Developing Countriesmentioning

confidence: 99%

“…They do not have a stable income due to inconsistent access to markets [38]. Due to this, the Brazilian government develops a DSS to help accessing the markets [38]. On Africa, the AfricaRice is a mobile app DSS that guide farmers in managing rice plantation [35].…”

Section: Implementation Of Dss In Developing Countriesmentioning

confidence: 99%

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Strengthening Indonesian Farmers’ Resilience Capacity of Disasters and Climate Change Through Development of Decision Support System: Challenges Lie Ahead

Utomo

Pieter

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Farmers are the vanguard of national food providers. However, they still have not yet received much serious attention and assistance. This condition is exacerbated by unpredictable climate change. Therefore, it is crucial to have an analytics tool to assist farmers in resolving production problems with some variables such as soil condition, season, and plant species. Decision support system (DSS) in agriculture helps farmers in making decisions based on previous research results. However, DSS in some countries are available, but not widely used by the farmers. This study aims to analyze the possibility of developing DSS to increase the resilience capacity of farmers in Indonesia. The method used in this research was a literature study and descriptive analysis. The results showed that there is still a long way to go in achieving the robust DSS, referring to the quality of research results so far. To elaborate on this, it is necessary to make a research roadmap in this field by understanding the current research status. Moreover, DSS will be a form of contribution from researchers in providing reliable and updated public information packages for a better agricultural management.

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Section: Focusmentioning

confidence: 99%

Section: Implementation Of Dss In Developing Countriesmentioning

confidence: 99%

Section: Implementation Of Dss In Developing Countriesmentioning

confidence: 99%

Section: Implementation Of Dss In Developing Countriesmentioning

confidence: 99%

See 2 more Smart Citations

Strengthening Indonesian Farmers’ Resilience Capacity of Disasters and Climate Change Through Development of Decision Support System: Challenges Lie Ahead

Utomo

Pieter

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Ref. [32] developed a Decision Support System based on two sequential MILP optimization models, guiding smallholder farmers from developing countries, and applied it to a Brazilian institutional market, so that the vulnerable community can make a better decision on supplying their products to schools based on the optimal bidding and contract acceptance strategy. Their first step is applied to a similar context, but differently from what is proposed here.…”

Section: Decision Support and Data Envelopment Analysis (Dea)mentioning

confidence: 99%

Supporting the Bidding Decisions of Smallholder Farmers in Public Calls in Brazil

et al. 2021

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In Brazil, the National School Feeding Program (PNAE) seeks to contribute to the socio-economic development of smallholder farmers, prioritizing them in supplying their products for preparing daily meals in public schools. However, farmers face challenges in determining which school calls to bid for and the potential benefits from their participation, due to the multiple quantitative and qualitative decision criteria involved. This paper presents a novel Data Envelopment Analysis (DEA)-based method for bidding priority setting, to support the decision making. The model was applied for a case study in Brazil. The academic contribution lies in the innovation of using a Double-Frontier Slack-Based Measure (SBM) DEA model for Hierarchical Network systems, i.e., applied to multiple levels and followed by a tie-breaking method. The practical contribution lies in the decision support of farmers by presenting the results at three levels, the first of which is a ranking by the town or urban cluster priority, the second by the school, and the third by the products. Thus, using the rankings of calls, farmers can make informed decisions regarding the feasibility of bidding for each PNAE public call. At the same time, the objective rankings can alleviate friction and conflict within co-operatives during the decision-making process.

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Coronavirus Optimization Algorithms for Minimizing Earliness, Tardiness, and Anticipation of Due Dates in Permutation Flow Shop Scheduling

Fuchigami,

de Athayde Prata

2023

Arab J Sci Eng

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Supporting Brazilian smallholder farmers decision making in supplying institutional markets

Cited by 11 publications

References 47 publications

Strengthening Indonesian Farmers’ Resilience Capacity of Disasters and Climate Change Through Development of Decision Support System: Challenges Lie Ahead

Strengthening Indonesian Farmers’ Resilience Capacity of Disasters and Climate Change Through Development of Decision Support System: Challenges Lie Ahead

Supporting the Bidding Decisions of Smallholder Farmers in Public Calls in Brazil

Coronavirus Optimization Algorithms for Minimizing Earliness, Tardiness, and Anticipation of Due Dates in Permutation Flow Shop Scheduling

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