Geral
- FAO (2017). Success stories on information and communication technologies for agriculture and rural development, Second edition. Sylvester, G. (ed.), Food and Agriculture Organization of the United Nations (FAO), Bangkok, India. [GRP01]
- FAO (2017). The future of food and agriculture – Trends and challenges. Food and Agriculture Organization of the United Nations (FAO), Rome, Italy. [GRP02]
- FAO (2017). Territorial tools for agro-industry development – A Sourcebook. Nogales, E.G. and Webber, M. (eds.), Food and Agriculture Organization of the United Nations (FAO), Rome, Italy. [GRP03]
- de Wilde, S., Willemse, E., Blankesteijn, R., & van Heel, K.D. (2016). The future of technology in agriculture. STT Netherlands Study Centre for Technology Trends. STT, The Hague. [GRP04]
- Lakner, Z., & Baker, G. A. (2014). Struggling with Uncertainty: The State of Global Agri-Food Sector in 2030. International Food and Agribusiness Management Review, 17(4), 141-176. [GIJ01]
Gestão Organizacional
- Setor Agroalimentar (geral)
- Subsetor Produtos Carneos
- Subsetor Produtos Lacteos
- Subsetor Produtos Panificacao
Relatórios:
- EC (2016). Research workshop on Digitising the Agri-food Sector: a research agenda for Horizon 2020. Final report. European Commission (EC) – Directorate General for Agriculture and Rural Development, Brussels, Belgium. [OMGRP01]
- EU (2016). Precision agriculture and the future of farming in Europe. Scientific Foresight Study IP/G/STOA/FWC/2013-1/Lot 7/SC5 (ref. PE 581.892) Science and Technology Options Assessment (STOA) – Scientific Foresight Unit, European Parliamentary Research Services (EPRS), European Union (EU), Brussels, Belgium. [OMGRP02]
- Bloemhof-Ruwaard, J.M. (2015). Sustainable Logistics Management: From Castle on the Cloud to Cathedral. Wageningen University. [OMGRP03]
- Rabobank (2014). Circle Scan: current state and future vision, Agri & Food Sector. Rabobank, De Lage Landen, Royal Haskoning DHV, Circle Economy, MVO Nederland. [OMGRP04]
- FAO (2009). Agro-industries for development. Silva, C.A, Baker D., Shepherd, A.W., Jenane, C. and Cruz, S.M. (eds.), Food and Agriculture Organization of the United Nations (FAO) & United Nations Industrial Development Organization (UNIDO), Rome, Italy. [OMGRP05]
Artigos científicos:
- Troy, D.J., Ojha, K.S., Kerry, J.P., & Tiwari, B.K. (2016). Sustainable and consumer-friendly emerging technologies for application within the meat industry: An overview. Meat Science, 120, 2-9. https://doi.org/10.1016/j.meatsci.2016.04.002 [OMGIJ01]
- Jurgilevich, A., Birge T., Kentala-Lehtonen, J., Korhonen-Kurki, K., Pietikäinen, J., Saikku, L., & Schösler, H. (2016). Transition towards circular economy in the food system. Sustainability, 8(1), 69. https://doi.org/10.3390/su8010069 [OMGIJ02]
- Notarnicola, B., Hayashi, K., Curran, M.A., &, Huisingh, D. (2012). Progress in working towards a more sustainable agri-food industry. Journal of Cleaner Production, 28, 1-8. https://doi.org/10.1016/j.jclepro.2012.02.007 [OMGIJ03]
- Ahumada, O., Villalobos, J.R. (2009). Application of planning models in the agri-food supply chain: A review. European Journal of Operational Research, 196(1), 1-20. https://doi.org/10.1016/j.ejor.2008.02.014 [OMGIJ04]
Relatórios:
Artigos científicos:
- Pizzuti, T., Mirabelli, G., Grasso, G., & Paldino, G. (2017). MESCO (MEat Supply Chain Ontology): An ontology for supporting traceability in the meat supply chain. Food Control, 72, Part A, 123-133. https://doi.org/10.1016/j.foodcont.2016.07.038 [OMCNIJ01]
- Ruviaro, C.F., Léis, C.M., Lampert, V.N., Barcellos, J.O.J, & Dewes, H. (2015). Carbon footprint in different beef production systems on a southern Brazilian farm: a case study. Journal of Cleaner Production, 96(1), 435-443. https://doi.org/10.1016/j.jclepro.2014.01.037 [OMCNIJ02]
- Qi, L., Xu, M., Fu, Z., Mira, T., & Zhang, X. (2014). C2SLDS: A WSN-based perishable food shelf-life prediction and LSFO strategy decision support system in cold chain logistics. Food Control, 38, 19-29. https://doi.org/10.1016/j.foodcont.2013.09.023 [OMCNIJ03]
- Kodogiannis, V.S:, Pachidis, T., & Kontogianni, E. (2014). An intelligent based decision support system for the detection of meat spoilage. Engineering Applications of Artificial Intelligence, 34, 23-36. https://doi.org/10.1016/j.engappai.2014.05.001 [OMCNIJ04]
- Belenguer, J.M., Benavent, E., & Martínez, M.C. (2005). RutaRep: a computer package to design dispatching routes in the meat industry. Journal of Food Engineering, 70(3), 435-445. https://doi.org/10.1016/j.jfoodeng.2004.02.045 [OMCNIJ05]
- Basnet, C., & Ellison, P. (1998). A manpower planning decision support system for MQM Meat Services. Computers and Electronics in Agriculture, 21(3), 181-194. https://doi.org/10.1016/S0168-1699(98)00036-2 [OMCNIJ06]
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Subsetor Produtos Hortofruticolas
- Pinior, B., Conraths, F.J., Petersen, B., & Selhorst, T. (2015). Decision support for risks managers in the case of deliberate food contamination: The dairy industry as an example. Omega, 53, 41-48. https://doi.org/10.1016/j.omega.2014.09.011 [OMLTIJ01]
- Silva, S., Alçada-Almeida, L., & Dias, L.C. (2014). Development of a Web-based Multi-criteria Spatial Decision Support System for the assessment of environmental sustainability of dairy farms. Computers and Electronics in Agriculture, 108, 46-57. https://doi.org/10.1016/j.compag.2014.06.009 [OMLTIJ02]
- Wari, E., Zhu, W. (2016). A survey on metaheuristics for optimization in food manufacturing industry. Applied Soft Computing, 46, 328-343. https://doi.org/10.1016/j.asoc.2016.04.034 [OMPPIJ01]
- Vieira, R.R.S., Correia, A.M.M., Lucena, A.D., & Silva, A.M. (2015). Estudo de tempos e métodos no processo produtivo de uma panificadora localizada em Mossoró. Revista Eletrônica Gestão & Sociedade, 9(23), 977-999. [OMPPIJ02]
- Tsarouhas, P.H. (2009). Classification and calculation of primary failure modes in bread production line. Reliability Engineering & System Safety, 94(2), 551-557. https://doi.org/10.1016/j.ress.2008.06.014 [OMPPIJ03]
