Assessment of Resilience of Pistachio Agroecosystems in Rafsanjan Plain in Iran

Darijani, Fatemeh; Veisi, Hadi; Liaghati, Houman; Nazari, Mohammad Reza; Khoshbakht, Kours

doi:10.3390/su11061656

Cited by 11 publications

(9 citation statements)

References 37 publications

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“…Various research works have focused on the pistachio industry and even in the emerging economy of Iran (Sedaghat, 2019;Darijani et al, 2019), mainly focused on the productivity factors or the resilience of the industry. However, there are very limited research and evidence on the key capabilities or decision-making issues that may contribute to establishing effective collaborative networks in this industrial sector.…”

Section: Discussionmentioning

confidence: 99%

Evaluating key capabilities for developing global collaborative networks using a multi-layer decision-making approach

Mahdiraji

Hafeez

Kamardi

et al. 2021

IMDS

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PurposeThis paper proposes a multi-layer hybrid decision-making approach to evaluate the capability alternatives for developing a collaborative network to operate in the international market.Design/methodology/approachThe present study is contextualised in the Iranian pistachio export industry. An extensive review of the state-of-the-art literature on supplier collaboration was conducted to identify key capabilities that are essential to establish a collaborative network. The set of defined capabilities were then optimised through interviews with 14 experts from the relevant industry, academics and export authorities. A combination of the fuzzy Delphi method and the best–worst method (BWM) approach was, respectively, used to reduce the number of capability alternatives and assign priority weights to these alternatives. Subsequently, a weighted aggregated sum product assessment method (WASPAS) was employed to rank and evaluate the ability to creating a collaborative network for the export of pistachio.FindingsFrom the extant literature review, 18 capabilities for the formation of coordination networks in the international markets were identified. Then, the prominent indicators in forming a global network were extracted. After ranking the top pistachio export countries/regions to formalise an efficient collaborative network, it was revealed that although Iran exports approximately 30% of the global market, it falls behind the USA and European Union. The competitors have scored higher in critical criteria, including “trust and commitment”, “strategy and management”, “managerial control and standardization” and “financial resources”.Originality/valueThe proposed hybrid approach encompassing fuzzy Delphi–BWM–WASPAS offers to solve the capability evaluation and selection as well as ranking the possible alternative to formalise a collaborative network in an integrated fashion. This combination of methods is capable to first identify the most important factors, then measuring their importance and eventually rank the possible alternatives. The suggested framework provides an approach to deal with the uncertainty of global collaborative network formation.

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Section: Discussionmentioning

confidence: 99%

Evaluating key capabilities for developing global collaborative networks using a multi-layer decision-making approach

Mahdiraji

Hafeez

Kamardi

et al. 2021

IMDS

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“…The world's rising food demands are being met with leading technological developments. The growth of digital agriculture and its associated technology have opened up a number of new data analytics-related opportunities [18][19][20]. AI-enhanced agriculture requires automated data collection, decision-making, and corrective action by robotics to enable the early identification of crop diseases, to provide livestock with timely nutrition and to maximize agricultural inputs and returns based on supply and demand.…”

Section: Gaining Insights From Unified Analysis Of the Gfsimentioning

confidence: 99%

Predictive Insights for Improving the Resilience of Global Food Security Using Artificial Intelligence

2020

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Unabated pressures on food systems affect food security on a global scale. A human-centric artificial intelligence-based probabilistic approach is used in this paper to perform a unified analysis of data from the Global Food Security Index (GFSI). The significance of this intuitive probabilistic reasoning approach for predictive forecasting lies in its simplicity and user-friendliness to people who may not be trained in classical computer science or in software programming. In this approach, predictive modeling using a counterfactual probabilistic reasoning analysis of the GFSI dataset can be utilized to reveal the interplay and tensions between the variables that underlie food affordability, food availability, food quality and safety, and the resilience of natural resources. Exemplars are provided in this paper to illustrate how computational simulations can be used to produce forecasts of good and bad conditions in food security using multi-variant optimizations. The forecast of these future scenarios is useful for informing policy makers and stakeholders across domain verticals, so they can make decisions that are favorable to global food security.

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“…and Masoudi, M. 2019), the rate of evaporation from these lakes has also increased over the time. The use of groundwater resources has also increased significantly in the last few decades (Darijani, F. et al 2019), and the rate of abstraction has been much higher than the rate of water infiltration into the deeper layers. Overall, global warming, severe rainfall anomalies, persistent droughts, growing population, and, most importantly, weakness in the management of water resources have put a lot of pressure on water resources (Nouri, M. and Homaee, M. 2020).…”

Section: Introductionmentioning

confidence: 99%

Anomalies of precipitation and drought in objectively derived climate regions of Iran

Ghaedi

2021

HunGeoBull

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By regionalizing precipitation in 113 synoptic stations in Iran, the characteristics of precipitations and the occurrence of droughts in each region were investigated over a period of 30 years, 1988–2017. Elevation, latitude and distance from moisture source have caused strong East–West and South–North gradients of precipitation across the territory of Iran so that the average annual precipitation increases from 55 mm in the eastern and central regions to 1,730 mm in the south-west coast of the Caspian Sea. Hierarchical cluster analysis identified six precipitation regions in Iran, including the arid, semi-arid, moderate, semi-humid, humid, and high humid regions. An investigation of the standardized precipitation index (SPI) showed that the trend in about 19 per cent of stations was significantly decreasing. It was non-significantly decreasing in 65 per cent, significantly increasing in less than 1 per cent, and non-significantly increasing in 15 per cent of the stations. While the occurrence of drought has increased in most parts of Iran, it has decreased in some stations only in the northern strip of the country. The line slope in more than 84 per cent of the stations represent negative values in SPI, which confirms an increase in the occurrence of droughts in Iran.

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Assessment of Resilience of Pistachio Agroecosystems in Rafsanjan Plain in Iran

Cited by 11 publications

References 37 publications

Evaluating key capabilities for developing global collaborative networks using a multi-layer decision-making approach

Evaluating key capabilities for developing global collaborative networks using a multi-layer decision-making approach

Predictive Insights for Improving the Resilience of Global Food Security Using Artificial Intelligence

Anomalies of precipitation and drought in objectively derived climate regions of Iran

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