Abstract
The agri-food system of the world is undergoing a radical change in relation to the future scenario with the reconfiguration of the production factors. The future of agriculture, following the other sectors, will be that of an innovative agriculture based on digitization. The future outlook indicates that a “digital agricultural revolution” will be the change that would allow to have the quantities of food for the needs of the whole world. Predictive analysis is a tool that would provide the best use of production, reduce waste, and satisfy food needs. The process uses heterogeneous data, often large in size, in models capable of generating clear and immediately usable results to more easily achieve this goal, such as reducing material waste and inventory, and to obtain a finished product that meets specifications. The proposed theoretical model represents a first modeling to make usable the innumerable amount of data that, in the future, the agri-food system, through digital transformation, will be able to provide, to which it will be necessary to give an adequate response in methodological and operational terms.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chinnici G, Pecorino B, Scuderi A (2013) Enviromental and economic performance of organic citrus growing. Qual Access Success 14:106–112
Greco S, Matarazzo B, Slowinski R (1997) Rough approximation of a preference relation by fuzzy dominance relations. In: 1st international a workshop on preferences and decision. Trento, pp 70–72. (5–7/06/1997)
Greco S, Matarazzo B, Slowinski R (2002) Rough sets methodology for sorting problems in presence of multiple attributes and criteria. Eur J Oper Res 138:247–259
FAO (2019) Digital Technologies in agriculture and rural areas. Briefing paper. In: Nikola M, Trendov S, Meng Z (eds) Food and agriculture Organization of the United Nations. Rome
FAO (2020) Agricultural markets and sustainable development: global value chains, smallholder farmers and digital innovations. Food and Agriculture Organization of the United Nations, Rome
FAOSTAT (2020) Statistic yearbook–agriculture production
Ge L, Brewster CA (2016) Informational institutions in the agri-food sector: meta-information and meta-governance of environmental sustainability. Curr Opin Environ Sustain 18:73–81
Jin X, Yang N, Wang X, Bai Y, Su T, Kong J (2019) Integrated predictor based on decomposition mechanism for PM2. 5 long-term prediction. Appl Sci 9:4533
Kayumova M (2017). The role of ICT regulations in agribusiness and rural development. World Bank. https://openknowledge.worldbank.org/bitstream/handle/10986/29041/121932-WP-ICT
Lee H, Mendelson H, Rammohan S, Srivastava A(2017) Technology in agribusiness: opportunities to drive value. White paper, Stanford Graduate School of Business
Matarazzo B, Greco S, Slowinski R (2019) La teoria degli insiemi approssimati. In Strategie, Introduzione alla teorie dei giochi e delle decisioni. Bertino, Gambarelli, Stach (eds), Editore Giappichelli
Nakasone E, Torero M, Minten B (2014) The power of information: The ICT revolution in agricultural development. Ann Rev Resour Econ 6(1):533–550
OECD (2019) Measuring the digital transformation. A road map for the future. OECD
Scuderi A, Foti VT, Timpanaro G (2019) The supply chain value of POD and PGI food products through the application of blockchain. Qual Access Success 20:580–587
Scuderi A, Sturiale L, Timpanaro G (2018) Economic evaluation of innovative investments in agri-food chain. Qual Access Success 19(51):482–488
Scuderi A, Sturiale L (2016) Multicriteria evaluation model to face phytosanitary emergencies: the case of citrus fruits farming in Italy. Agric Econ 62:205–214
Scuderi A, Zarbà AS (2011): Economic analysis citrus fruit destined to market. Italian J Food Sci 34
Sturiale L, Scuderi A. (2011) Information and communication technology (ICT) and adjustment of the marketing strategy in the agrifood system in Italy. In: CEUR workshop proceedings, vol 1152, pp 77–87. (5th international conference on information and communication technologies for sustainable agri-production and environment, HAICTA 2011, Skiathos, Greece)
Sturiale L, Timpanaro G, La Via G (2017) The online sales models of fresh fruit and vegetables: Opportunities and limits for typical Italian products. Qual Access Success 18:444–451
USDA (2020) Global citrus market analysis
Weis T (2007) The global food economy: The battle for the future of farming. Ed. Zed Books
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Scuderi, A., Timpanaro, G., La Via, G., Pecorino, B., Sturiale, L. (2022). The Innovation Strategy for Citrus Crop Prediction Using Rough Set Theory. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 236. Springer, Singapore. https://doi.org/10.1007/978-981-16-2380-6_35
Download citation
DOI: https://doi.org/10.1007/978-981-16-2380-6_35
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2379-0
Online ISBN: 978-981-16-2380-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)