Special Issue "Intelligent Decision Support for Agri-Food Green Supply Chain"
Deadline for manuscript submissions: 30 June 2021.
Interests: sustainability; life cycle methodologies; environmental impacts; agricultural economics and politics; rural development; circular economy; participatory methodologies
Special Issues and Collections in MDPI journals
Interests: decision support systems; stochastic programming; decision models for energy and financial markets; optimization models for agri-food logistics; risk management
The agri-food sector is moving towards a new evolutionary era that will characterize the economy and ecology of the future: a productive version of agriculture that, in line with the principles of ecology, puts order back into the agronomic disciplines, a perfectly agro-ecological version of agriculture: the so-called Agriculture 5.0.
Consistent with this wave of renewal of production models, the European Union, through the Green Deal, has set the goal of rewriting the future of food and agriculture within a global program that aims to achieve climate neutrality by 2050 and a 55% reduction in emissions by 2030.
The reduction of environmental impacts, the reduction of waste, and the valorisation of by-products are only some of the possible strategies that the entrepreneur can adopt for a greener and more circular supply chain.
Technologies can play a decisive role in achieving these objectives without, however, threatening the economic sustainability of the company and affecting the technical feasibility of the processes. A new impetus towards this change has been given by the COVID-19 pandemic, which is redesigning economic sectors and posing new challenges to the world population.
It is therefore necessary that agri-food entrepreneurs are supported in their choices in order to pursue the ambitious objective of re-designing the supply chains with a view to sustainability. In such a context Intelligent Decision Support Systems (IDSS), based on the new huge availability of data and on advanced methodological results, can lead to significant improvements on both efficiency and effectiveness of decision processes in the agri-food supply chain.
Methodological applications, theoretical discussions, and literature reviews are welcome to this Special Issue. Papers received will be subject to a rigorous peer review procedure with the aim of rapid and wide dissemination of research results, developments, and applications.
Dr. Giacomo Falcone
Dr. Antonio Violi
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- agri-food green supply chains
- environmental sustainability
- smart agriculture
- operations research methods for agri-food
- decision making under uncertainty & risk management
- decision Support Systems
- green logistics