Literatura académica sobre el tema "Agrifood"
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Artículos de revistas sobre el tema "Agrifood"
Nixon, Peter y Anu Ramaswami. "County-level analysis of current local capacity of agriculture to meet household demand: a dietary requirements perspective". Environmental Research Letters 17, n.º 4 (1 de abril de 2022): 044070. http://dx.doi.org/10.1088/1748-9326/ac5208.
Texto completoPritchard, W. "Shifts in Food Regimes, Regulation, and Producer Cooperatives: Insights from the Australian and US Dairy Industries". Environment and Planning A: Economy and Space 28, n.º 5 (mayo de 1996): 857–75. http://dx.doi.org/10.1068/a280857.
Texto completoAlfranca, Oscar, Ruth Rama y Nicholas Von Tunzelmann. "Estrategias sobre innovación en las empresas multinacionales agroalimentarias". Economía Agraria y Recursos Naturales 3, n.º 6 (22 de octubre de 2011): 21. http://dx.doi.org/10.7201/earn.2003.06.02.
Texto completoChen, Jianxiong, Chung-Cheng Yang y Yu Lin. "Impacts of the National Nutrition Plan 2017–2030 on Listed Agrifood Enterprises: A Financial Statement Perspective". Agriculture 14, n.º 5 (26 de abril de 2024): 677. http://dx.doi.org/10.3390/agriculture14050677.
Texto completoWang, Huanhuan, Xiaoli Fan, Qilan Zhao y Pengfei Cui. "Emissions reduction strategy in a three-stage agrifood value chain: A dynamic differential game approach". PLOS ONE 18, n.º 11 (17 de noviembre de 2023): e0294472. http://dx.doi.org/10.1371/journal.pone.0294472.
Texto completoLederer, Markus. "Practicing agrifood governance". Food Policy 36, n.º 6 (diciembre de 2011): 756–59. http://dx.doi.org/10.1016/j.foodpol.2011.07.009.
Texto completoLi, Chang, Tong Tong y Shutong Ge. "Evaluating the Ecological Sustainability of Agrifood Land in Ethnic Minority Areas: A Comparative Study in Yunnan China". Sustainability 15, n.º 12 (16 de junio de 2023): 9646. http://dx.doi.org/10.3390/su15129646.
Texto completoNováková, Kamila, Raúl Compés López y José María García Álvarez-Coque. "Ethical certification in the Spanish agrifood industry: An alternative paradigm?" Society and Economy 38, n.º 3 (septiembre de 2016): 399–411. http://dx.doi.org/10.1556/204.2016.38.3.8.
Texto completoKokotovich, Adam E., Jennifer Kuzma, Christopher L. Cummings y Khara Grieger. "Responsible Innovation Definitions, Practices, and Motivations from Nanotechnology Researchers in Food and Agriculture". NanoEthics 15, n.º 3 (diciembre de 2021): 229–43. http://dx.doi.org/10.1007/s11569-021-00404-9.
Texto completoPreiss, Myriam, Julia H. M. Vogt, Carsten Dreher y Monika Schreiner. "Trends Shaping Western European Agrifood Systems of the Future". Sustainability 14, n.º 21 (27 de octubre de 2022): 13976. http://dx.doi.org/10.3390/su142113976.
Texto completoTesis sobre el tema "Agrifood"
De, Conti Luca <1996>. "Blockchain Technology in the Agrifood Sector". Master's Degree Thesis, Università Ca' Foscari Venezia, 2022. http://hdl.handle.net/10579/21618.
Texto completoValéa, Aristide B. "Three essays on Innovation and Agrifood Trade". Doctoral thesis, Université Laval, 2020. http://hdl.handle.net/20.500.11794/66563.
Texto completoThis thesis addressed three issues related to innovation and agrifood trade through three essays. The rst essay deals with the implications of agrifood trade liberalization on export prices and quality upgrading, theoretically and empirically. Based on the recent literature on international trade, the theoretical investigation extends an existing model by incorporating the reduction of output tari s as an indicator of trade liberalization likely to a ect export quality. The theoretical model informs that the e ects of trade liberalization on the quality of exported products depend strongly on the level of product di erentiation. Indeed, trade liberalization leads to more quality improvement for di erentiated products than for homogeneous products. These theoretical conclusions have been tested with data from OECD member countries. Empirical results largely corroborate theoretical conclusions. The second essay is devoted to the analysis of the direct and indirect e ects (via innovation) of nancial constraints on the export performance of agrifood rms in African countries. The literature argues that nancial constraints negatively impact rms' innovation activities. In addition, innovation is one of the main determinants of export performance. It is therefore relevant to consider nancial constraints to directly impact the export performance of agrifood rms through increased costs related to export activities, but also indirectly through the reduction of rm incentives to innovate. Our theoretical model suggests that the impact of innovation on export performance depends on two e ects: the cost e ect and the demand-creation e ect. Innovation induces improved export performance only if the demand-creation e ect is greater than the cost e ect. Moreover, the most nancially constrained rms are less inclined to innovate and are less successful in foreign markets. These theoretical conclusions were tested on data about agrifood rms from 10 African countries. In general, empirical evidence con rms the theoretical conclusions that nancial constraints are damaging to the performance of rms' exports. v The last essay of this thesis questions the implications of R&D investment in the agricultural sector on export duration of agricultural products in ECOWAS member countries. There is little research on export survival in the agricultural sector. More precisely, those addressing the issue of the possible e ects of public R&D investment on the duration of exports are almost non-existent. Given the importance and role of the agricultural sector in the economies of ECOWAS member countries and the low level of investment in the agricultural sector, this essay contributes to lling this gap. Two measures of R&D investments were used as explanatory variables for the probability of export survival: the annual average share of R&D investments in agricultural GDP in the last ve years before the start of the trade episode (upstream investment) and the average annual share of R&D investments in agricultural GDP realized during the trade episode (downstream investment). The empirical results indicate that, in general, R&D investments increase the agricultural export survival rate of ECOWAS countries. In addition, this e ect is not linear as the increase in R&D expenditures tends to reduce the probability of export survival above a certain threshold. The results also indicate heterogeneity across countries and the number of past trade episodes.
Imami, Drini <1978>. "Analysis of agrifood value chain actors' choices in Albania". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/3790/1/Imami_Drini_tesi.pdf.
Texto completoImami, Drini <1978>. "Analysis of agrifood value chain actors' choices in Albania". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/3790/.
Texto completoMazzon, Federica <1995>. "Smart and digital agrifood: evidence from six case studies". Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/15348.
Texto completoGnudi, Federico. "Studio di sensorizzazione di macchinario pick-and-place per agrifood". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
Buscar texto completoMichelon, Francesca <1988>. "Local and Multinational companies in the agrifood sector: case studies". Master's Degree Thesis, Università Ca' Foscari Venezia, 2015. http://hdl.handle.net/10579/6244.
Texto completoChan, Chui Shiam. "Home Country Effects on Internationalization: Chinese Agrifood Investment in Advanced Economies". Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/20580.
Texto completoNicolè, S. "BIODIVERSITY ANALYSIS TROUGH DNA BARCODING Applications in agrifood and seafood products". Doctoral thesis, Università degli studi di Padova, 2010. http://hdl.handle.net/11577/3426881.
Texto completoL’attività di ricerca, i cui risultati sono oggetto della dissertazione di dottorato, ha riguardato lo studio delle potenzialità applicative del DNA barcoding, una tecnica molecolare volta all’identificazione degli organismi sulla base dei polimorfismi di specifiche sequenze nucleotidiche localizzate nei genomi plastidiale, mitocondriale e cloroplastico. Il progetto di ricerca ha previsto l’impiego di questo approccio per il riconoscimento di specie ai fini della tracciabilità genetico-molecolare di prodotti agro-alimentari, sia di origine animale (pesci, molluschi e crostacei) che vegetale (fagiolo e vite). Inizialmente si è proceduto all’individuazione degli organismi su cui condurre l’analisi: si sono collezionate linee pure di fagiolo (Phaseolus vulgaris L.), cloni di vite (Vitis vinifera L.) e campioni di pesci, crostacei e molluschi acquistati presso famose GDO o ai mercati locali di Chioggia e Sottomarina. In particolare, per quanto concerne la scelta delle specie ittiche su cui condurre l’analisi, si è svolta un’estesa indagine di mercato con l’intento di individuare le specie maggiormente coinvolte in falsificazioni alimentari, cioè sostituzione di specie pregiate con altre di valore inferiore. Si è successivamente proceduto alla purificazione di 37 campioni di DNA genomico e alla loro caratterizzazione dal punto di vista molecolare mediante amplificazione e sequenziamento di specifici geni mitocondriali, quali cox1 (Cytochrome oxydase subunit I), 16S-rDNA (16S small ribosomal subunit RNA) e cob (cytochrome b). Una volta acquisiti questi dati, l’interrogazione di due banche dati disponibili on line, BOLD per il gene cox1 e GenBank per tutti e tre i geni, ha consentito di identificare l’origine dei campioni confermando nella maggioranza dei casi quanto dichiarato nell’etichetta di accompagnamento del prodotto alimentare. In cinque situazioni non è stato possibile stabilire con certezza l’origine del campione e questo potrebbe indicare possibili casi di sostituzione, fraudolenta o accidentale. Il DNA barcoding pertanto è risultato utile ai fini dell’identificazione di specie in tutti e tre i taxa studiati, pesci, molluschi e crostacei, e il gene cox1 si è dimostrato un ottimo target per questi scopi eccetto che in tre casi particolari, i generi Thunnus, Macruronus e Gadus. Inoltre è risultato evidente che nonostante GenBank persista come la banca dati più ricca in termini di numero di sequenze depositate, il BOLD sta rapidamente incrementando la quantità di informazioni contenute al suo interno lasciando presupporre che in breve tempo diventerà la banca dati di riferimento per studi di genetica forense e di tracciabilità genetica. Per quanto riguarda le specie vegetali, l’obiettivo era l’identificazione univoca di specie, e soprattutto delle loro varietà quando fondate su un solo genotipo (linee pure, ibridi e cloni). Nel caso di fagiolo, si sono isolati i DNA genomici da 54 varietà di Phaseolus vulgaris, 18 provenienti dal Centro America, 12 dal Sud America e 24 line pure coltivate e commercializzate in Italia, insieme con alti 6 campioni usati come fuori gruppo (Phaseolus coccineus, Phaseolus lunatus e Vigna unguiculata). Sono risultate indispensabili indagini preliminari di polimorfismi di singoli geni al fine di determinare la variabilità genetica tra le varietà e la tracciabilità genetica di singole varietà. La caratterizzazione, tramite l’amplificazione di 7 differenti regioni cloroplastiche e due nucleari seguita da un approccio fenetico, ha confermato le potenzialità della tecnica come strumento efficace per la distinzione delle specie, mentre è risultata scarsamente informativa per il riconoscimento di singole varietà. Da qui si è rivelata necessaria l’adozione di un approccio alternativo, basato sulla determinazione della composizione nucleotidica e del polimorfismo a carico di ciascun gene esaminato, che ha permesso di definire 16 aplotipi corrispondenti ad altrettanti sottogruppi varietali, ciascuno costituito da accessioni Mesoamericane o Andine insieme con le varietà Italiane. Infine l’applicazione del DNA barcoding per la distinzione di cultivar di vite ha richiesto l’abbandono dello studio del genoma cloroplastico, troppo poco variabile, a favore di quello nucleare. Si sono isolati i DNA genomici da 123 cultivar di Vitis vinifera e da altre 5 specie (V. rupestris, V. riparia, V. labrusca, V. cinerea e V. berlandieri) e si sono amplificati 4 EST ed il gene GAI1 (gibberellins insensitive-like). L’analisi bioinformatica è ancora in corso, ma risultati preliminari fanno ipotizzare l’esistenza di aplotipi cultivar-specifici che potrebbero venir impiegati in futuro per risolvere i frequenti casi di sinonimie ed omonimie diffusi all’interno di questa specie. Infine un’altra interessante applicazione da un punto di vista economico potrebbe essere l’impiego di questi aplotipi cultivar-specifici per la tracciabilità genetica dei vini e la tutela delle denominazioni controllate da casi di falsificazione e concorrenza sleale.
MacAuley, Lorien Eleanora. "On - Farm Apprenticeships: Labor Identities and Sociocultural Reproduction within Alternative Agrifood Movements". Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/80966.
Texto completoPh. D.
Libros sobre el tema "Agrifood"
University College Dublin. Agricultural and Food Engineering Department. Agrifood engineering research review. Editado por McNulty Paul. Dublin: University College Dublin, 1996.
Buscar texto completoUniversity College Dublin. Agricultural and Food Engineering Department. Agrifood engineering research review. Editado por McNulty Paul. Dublin: University College Dublin, 1997.
Buscar texto completoUniversity College Dublin. Agricultural and Food Engineering Department. Agrifood engineering research review. Editado por McNulty Paul. Dublin: University College Dublin, 1998.
Buscar texto completoBourlakis, Michael, Ilias Vlachos y Vasileios Zeimpekis, eds. Intelligent Agrifood Chains and Networks. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444339895.
Texto completoBourlakis, Michael, Ilias P. Vlachos y Vasileios Zeimpekis. Intelligent agrifood chains and networks. Hoboken: Wiley-Blackwell, 2011.
Buscar texto completoInformation management in agrifood chains: Towards an integrated paperless framework for agrifood trade facilitation. Bangkok, Thailand?]: United Nations, 2015.
Buscar texto completoTex.) North American Agrifood Market Integration Workshop (2nd 2005 San Antonio. Agrifood regulatory and policy integration under stress: Second Annual North American Agrifood Market Integration Workshop. [Guelph]: University of Guelph, 2006.
Buscar texto completo1963-, Clapp Jennifer y Fuchs Doris A, eds. Corporate power in global agrifood governance. Cambridge, MA: MIT Press, 2009.
Buscar texto completoJames,, Harvey S., ed. The Ethics and Economics of Agrifood Competition. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6274-9.
Texto completoOlga, Memedovic, ed. Global value chains in the agrifood sector. Vienna: United Nations Industrial Development Organization, UNIDO, 2006.
Buscar texto completoCapítulos de libros sobre el tema "Agrifood"
Lehtinen, Ulla. "Traceability in Agrifood Chains". En Intelligent Agrifood Chains and Networks, 151–66. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444339895.ch9.
Texto completoKatchova, Ani L. "Agricultural Contracting and Agrifood Competition". En The International Library of Environmental, Agricultural and Food Ethics, 177–91. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6274-9_9.
Texto completoIakovou, Eleftherios, Dionysis Bochtis, Dimitrios Vlachos y Dimitrios Aidonis. "Sustainable Agrifood Supply Chain Management". En Supply Chain Management for Sustainable Food Networks, 1–39. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118937495.ch1.
Texto completoOgilvie, Claudine. "The Australia-ASEAN AgriFood Opportunity". En The Australia-ASEAN Dialogue, 185–203. New York: Palgrave Macmillan US, 2014. http://dx.doi.org/10.1057/9781137449146_11.
Texto completoBourlakis, Michael, Ilias Vlachos y Vasileios Zeimpekis. "Introduction". En Intelligent Agrifood Chains and Networks, 1–6. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444339895.ch1.
Texto completoBourlakis, Michael y Ilias Vlachos. "E-Business Applications in the European Food and Beverages Industry: Evidence from the Wine Sector". En Intelligent Agrifood Chains and Networks, 167–78. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444339895.ch10.
Texto completoVlachos, Ilias y Panayiotis Chondros. "The Impact of Information and Communication Technologies on the Organisational Performance of Microenterprises: Evidence from Greece". En Intelligent Agrifood Chains and Networks, 179–93. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444339895.ch11.
Texto completoMatopoulos, Aristides. "Warehouse Technologies in Retail Operations: The Case of Voice Picking". En Intelligent Agrifood Chains and Networks, 195–207. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444339895.ch12.
Texto completoKaragiannaki, Angeliki y Katerina Pramatari. "Leveraging RFID-Enabled Traceability for the Food Industry: A Case Study". En Intelligent Agrifood Chains and Networks, 209–25. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444339895.ch13.
Texto completoVörös, Mihály y Masahiko Gemma. "Intelligent Agrifood Chains and Networks: Current Status, Future Trends and Real-life Cases from Japan". En Intelligent Agrifood Chains and Networks, 227–47. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444339895.ch14.
Texto completoActas de conferencias sobre el tema "Agrifood"
Top, J. "Adding semantics to tabular agrifood dataAdding semantics to tabular agrifood data". En Scientific Symposium FAIR Data Sciences for Green Life Sciences. Wageningen University & Research, 2018. http://dx.doi.org/10.18174/fairdata2018.16285.
Texto completoFuentes, Roberto, Diego Rojas, Marco Rivera, Jose Riveros, Javier Munoz y Patrick Wheeler. "Solar energy in the agrifood industry". En 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON). IEEE, 2021. http://dx.doi.org/10.1109/chilecon54041.2021.9702972.
Texto completoRODINO, Steliana, Alina BUTU, Raluca ION y Marian BUTU. "UNLOCKING BIOECONOMY POTENTIAL IN ROMANIAN AGRIFOOD SECTOR". En Competitiveness of Agro-Food and Environmental Economy. Editura ASE, 2022. http://dx.doi.org/10.24818/cafee/2019/8/09.
Texto completoMargarida Cachada, Ana, Hasmik Badikyan, Camilo Anzola-Rojas, Javier Parra, Fernando de la Prieta y Paulo Leitão. "BLOCKCHAIN TECHNOLOGIES TO IMPLEMENT TRACEABILITY IN THE FARM TO FORK CHAINS". En Proceedings of the III Workshop on Disruptive Information and Communication Technologies for Innovation and Digital Transformation: 18th December 2020 Online. Ediciones Universidad de Salamanca, 2022. http://dx.doi.org/10.14201/0aq03112742.
Texto completoNeganova, V. "Investment Aspects Of Agrifood Complex Competitveness Increasing Strategy". En International Conference on Finance, Entrepreneurship and Technologies in Digital Economy. European Publisher, 2021. http://dx.doi.org/10.15405/epsbs.2021.03.53.
Texto completoMuñoz P., Carlos, Juan Ignacio Huircan Q., Doris Saez H., Rosa Medina D., Oscar Poblete, Oscar Villagra, Bryan Cartes, Josefa Silva y Matías Alegría. "Participatory Development in Indigenous Rural Schools for Adopting IoT in Agrifood". En 2023 IEEE Conference on AgriFood Electronics (CAFE). IEEE, 2023. http://dx.doi.org/10.1109/cafe58535.2023.10291231.
Texto completoPanagoret, Ioana. "Influence Factors On Agrifood And Rural Development Policies In Romania". En 2nd Central and Eastern European LUMEN International Conference - Multidimensional Education and Professional Development. Ethical Values. Cognitive-crcs, 2017. http://dx.doi.org/10.15405/epsbs.2017.07.03.62.
Texto completoKoech, Allan K., Fidel Makatia y Valery Chebet. "Smart Chicken Farming; Case Study in North Rift Kenya". En 2023 IEEE Conference on AgriFood Electronics (CAFE). IEEE, 2023. http://dx.doi.org/10.1109/cafe58535.2023.10291535.
Texto completoGhadami Vaghalandari, Nasrin, Kai Daniel, Shervin Samadi y Daniel Kurzer. "UAV-Based Realtime Communication Architecture for Forest Monitoring Using 5G". En 2023 IEEE Conference on AgriFood Electronics (CAFE). IEEE, 2023. http://dx.doi.org/10.1109/cafe58535.2023.10291668.
Texto completoDemarchi, Danilo, Victor Grimblatt y John Vig. "Cafe 2023 Welcome Message". En 2023 IEEE Conference on AgriFood Electronics (CAFE). IEEE, 2023. http://dx.doi.org/10.1109/cafe58535.2023.10291585.
Texto completoInformes sobre el tema "Agrifood"
Diao, Xinshen, Mia Ellis, Gracie Rosenbach, Serge Mugabo, Karl Pauw, David J. Spielman y James Thurlow. Prioritizing value chains for achieving Rwanda’s agrifood system transformation: A diagnostic of the agrifood system. Washington, DC: International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/p15738coll2.136828.
Texto completoBouët, Antoine, Anatole Goundan y Chahir Zaki. Competitiveness of African countries in agrifood products. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/9780896293908_04.
Texto completoMinten, Bart, Ben Belton y Tom Reardon. Agrifood value chains: Building resilient food systems. Washington, DC: International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/9780896294417_04.
Texto completoDeb Pal, Barun, Manmeet Ajmani, James Thurlow y Karl Pauw. Agrifood system in India - state factsheet: Bihar. Washington, DC: International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/p15738coll2.137027.
Texto completoDeb Pal, Barun, Manmeet Ajmani, James Thurlow y Karl Pauw. Agrifood system in India - state factsheet: Odisha. Washington, DC: International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/p15738coll2.137028.
Texto completoCarpio, Carlos, Manuel Garcia, Ana R. Rios, Tullaya Boonsaeng, Juan M. Murguia y Alcido Wander. Static and Dynamic Economic Resilience Indicators for Agrifood Supply Chains: The COVID-19 Pandemic in Latin America and the Caribbean. Inter-American Development Bank, junio de 2023. http://dx.doi.org/10.18235/0004976.
Texto completoOmta, S. W. F. Open innovation : the road to success in agrifood? Wageningen: Wageningen University & Research, 2017. http://dx.doi.org/10.18174/426017.
Texto completoFan, Shenggen y Keijiro Otsuka. Reshaping agrifood systems to achieve multiple development goals. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/9780896293830_22.
Texto completoEcker, Olivier, Tracy Brown y Kwaw S. Andam. Transforming Nigeria’s agrifood system: Wealthier, but also healthier. Washington, DC: International Food Policy Research Institute, 2021. http://dx.doi.org/10.2499/9780896294219.
Texto completoDiao, Xinshen, Mia Ellis, Serge Mugabo, Karl Pauw, Gracie Rosenbach, David J. Spielman y James Thurlow. Rwanda’s agrifood system: Structure and drivers of transformation. Washington, DC: International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/p15738coll2.136529.
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