An integrated strategic framework for large-scale crop planning: sustainable climate-smart crop planning and agri-food supply chain management

Hajimirzajan, Amir; Vahdat, Mohammadali; Sadegheih, Ahmad; Shadkam, Elham; Bilali, Hamid El

doi:10.1016/j.spc.2020.12.016

Cited by 31 publications

(9 citation statements)

References 47 publications

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“…Ante el crecimiento poblacional, cambio climático natural e inducido por el hombre, es esencial disponer de herramientas y técnicas para garantizar la seguridad alimentaria continua. Programas de planificación agrícola han demostrado efectividad en brindar apoyo a la toma de decisiones (Meshesha and Khare, 2019;Randall et al, 2022) La planificación de cultivos se refiere al diseño de cultivos en tiempo y espacio determinado, tiendo en cuenta etapas de producción, transporte y comercialización (Hajimirzajan et al, 2021), En la etapa productiva se considera recomendaciones en fechas de siembra, practicas o labores, variedades, ciclos, rotaciones entre otras. La planificación además considera evaluar los impactos al ambiente, por lo que es considerada como una de las herramientas de la gestión ambiental.…”

Section: Planificación De Cultivosunclassified

Ensemble machine learning paradigms in hydrology: A review

Zounemat‐Kermani

Batelaan

Fadaee

et al. 2021

Journal of Hydrology

357

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Section: Planificación De Cultivosunclassified

Ensemble machine learning paradigms in hydrology: A review

Zounemat‐Kermani

Batelaan

Fadaee

et al. 2021

Journal of Hydrology

357

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“…For tactical decisions at the plot or farm level, there are fewer examples than for operational decisions. Nevertheless, we can refer to a number of works related to crop rotation or crop planning (Robert et al, 2018;Hajimirzajan, 2021;Pahmeyer, 2021). In these studies, the crop model is coupled to an economic model built to optimise an objective function (such as profit) under different constraints (e.g.…”

Section: Integrating Adaptation Management Practices Into Modelsmentioning

confidence: 99%

Advances in integrating different models assessing the impact of climate change on agriculture

Bergez¹,

Constantin²,

Debaeke³

et al. 2023

Burleigh Dodds Series in Agricultural Science

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The impact of climate change on the agricultural sector is causing considerable concern worldwide. Using modelling and simulation to analyse the impact of and ways to mitigate climate change is challenging. However, over the last few decades modelling approaches have evolved to tackle this problem. This chapter presents the various advances of integrating different models that assess the effects of climate change on agriculture. Based on an ‘ideal’ modelling archetype, we discuss different solutions such as: i) a complete and balanced integration of models; ii) coupling sub-models; iii) integrating new knowledge and facilitating inter-operability; iv) integrating behaviours and decision-making to adapt to climate change; v) incorporating inter- and intra-species diversity into models; vi) from white to black box models and vii) ensemble modelling. The chapter includes examples of all these solutions. The last section explains why these modelling solutions may be insufficient and discusses future trends in modelling.

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“…Imran et al [14] assessed the impact of CSA practices as an alternative to promote the sustainable production of the cotton crop. Hajimirzajan et al [25] developed an integrated framework that blends the sustainability principles with the CSA practices for the grounding of the various strategies of the large-scale planning of crops. Abegunde et al [26] reviewed the CSA practices based on production as the enabler of food security in South Africa.…”

Section: Literature Insightsmentioning

confidence: 99%

Assessment of the Climate-Smart Agriculture Interventions towards the Avenues of Sustainable Production–Consumption

et al. 2022

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In the current scenario, climatic adversities and a growing population are adding woes to the concerns of food safety and security. Furthermore, with the implementation of Sustainable Development Goal (SDG) 12 by the United Nations (UN), focusing on sustainable production–consumption, climatic vulnerabilities need to be addressed. Hence, in order to map the sustainable production–consumption avenues, agricultural practices need to be investigated for practices like Climate-Smart Agriculture (CSA). A need has arisen to align the existing agricultural practices in the developing nation towards the avenues of CSA, in order to counter the abrupt climatic changes. Addressing the same, a relation hierarchical model is developed which clusters the various governing criteria and their allied attributes dedicated towards the adoption of CSA practices. Furthermore, the developed model is contemplated for securing the primacies of promising practices for the enactment of CSA using the duo of the Analytical Hierarchical Process (AHP) and Fuzzy AHP (FAHP). The outcomes result in the substantial sequencing of the key attributes acting as a roadmap toward the CSA. This emphasizes the adoption of knowledge-based smart practices, which leaps from the current agricultural practices toward the CSA. Furthermore, by intensifying the utilization of the improved and resilient seed varieties and implying the fundamentals of agroforestry, we secure primacy to counter the adversities of the climate.

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An integrated strategic framework for large-scale crop planning: sustainable climate-smart crop planning and agri-food supply chain management

Cited by 31 publications

References 47 publications

Ensemble machine learning paradigms in hydrology: A review

Ensemble machine learning paradigms in hydrology: A review

Advances in integrating different models assessing the impact of climate change on agriculture

Assessment of the Climate-Smart Agriculture Interventions towards the Avenues of Sustainable Production–Consumption

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