Implementation of decision expert (DEX) in the "SALADGARDEN" application

Hidayati, Anita; Juyuspan, Fityan Aula; Novianty, Cindy; Bima, D S Muhammad

doi:10.1109/eecsi.2017.8239156

Cited by 1 publication

(3 citation statements)

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“…The selection was based on five ordered criteria: institutional, technical, economic, social/cultural, and environmental criteria . Hidayati et al (2017) used the DEX evaluation model to help decision makers determine crops to be planted during the dry season. Many evaluation criteria were used such as knowledge, budget, land area, and human resources.…”

Section: Introductionmentioning

confidence: 99%

“…All management levels should have been involved in the decision-making process as indicated by Nikoloski et al (2018). This is unlike the approach of either Agha et al (2012) and Sandhyavitri et al (2016) which focused on the governmental level only, or the approach of Hidayati et al (2017) which considered the farm level.…”

Section: Introductionmentioning

confidence: 99%

“…Determining the major types of crops is still challenging, and therefore, identifying the specific crops was recommended by Agha et al (2012). It is the approach recent studies, e.g., Hidayati et al (2017) and Nikoloski et al (2018), have effectively adopted .…”

Section: Introductionmentioning

confidence: 99%

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Optimizing agricultural production with socioeconomic considerations: A case study from Palestine

Anayah¹

2020

PTUKRJ

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Agriculture is not only the main source of income to most Palestinian families; it is also the link to connect them to their valuable land and water resources. Farmers seek assistance from agronomists and decision makers to cultivate the proper products. In this study, the best selection of agricultural crops is addressed in the multiple-objective context. The study deals with three conflicting objective functions: net benefit, agricultural production, and labor employment. Four-stage procedure is adopted combining multiple-objective optimization, simple valuation methods, cluster analysis, and multiple criteria decision making (MCDM) methods. Pareto optimal curves are used to evaluate the marginal prices of both land area and labor day. The theories of utility and benefit cost are applied to rank the non-dominant alternatives. Two MCDM methods, namely weighted goal programming and step methods, are employed in the evaluation. The above methodology is applied to the case study of Qalqilya District in which irrigated agriculture under semi-arid conditions prevails. The results show that Pareto optimal is a powerful tool to determine the marginal price of non-monetary commodities. It is also found that the average annual net benefit, agricultural production, and labor employment for the cultivated area are $941,423, 3,288 tons, and 14,671 days, respectively, in the best compromise plan. The inclusion of socioeconomic considerations in decision making on agricultural systems is crucial for their sustainable development.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%