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Repositorio de la Red Internacional de Investigadores en Competitividad

COMPETITIVIDAD GLOBAL

Vol. 15 (2021): Reinventándose para la competitividad PostCovid19 ISBN 978-607-96203-0-10

Beyond the Covid 19: Acceleration of digital agriculture and global berries competitiveness

  • Alejandra Rosales Soto
  • Ricardo Arechavala Vargas
  • Bernardo Jaen Jimenez
Enviado
marzo 14, 2022
Publicado
2022-03-29

Resumen

La producción de berries posee una gran relevancia global en el desarrollo de la industria
agroalimentaria. Las diversas variedades de berries se utilizan para el consumo directo o como
materia prima en la industria alimentaria. La demanda de frutas en el mercado mundial ha aumentado
considerablemente, especialmente durante la crisis sanitaria mundial de Covid-19. La literatura
sugiere que la innovación agrícola a través de la agricultura digital resulta ser más urgente que nunca.
Si bien todos los sectores económicos tienen esta exigencia, la agricultura y los sistemas
agroalimentarios la necesitan más. En esta investigación se emplea un enfoque de métodos mixtos
para entender los retos que enfrenta la agroindustria y el valor agregado de la agricultura digital en la
producción de berries, que es el quinto producto agrícola en México. 

Citas

  1. Akhter, R., & Shabir, A. S. (2021). Precision agriculture using IoT data analytics and machine
  2. learning. Journal of King Saud University - Computer and Information Sciences.
  3. https://doi.org/10.1016/j.jksuci.2021.05.013
  4. Aquino, A., Barrio, I., Diago, M. P., Millan, B., & Tardaguila, J. (2018). vitisBerry: An Android-
  5. smartphone application to early evaluate the number of grapevine berries by means of image
  6. analysis. Computers and Electronics in Agriculture, 148(October 2017), 19–28.
  7. https://doi.org/10.1016/j.compag.2018.02.021
  8. Bohdaniuk, O., Buriak, R., & Savchuk, V. (2019). Competitiveness of horticultural products as a
  9. precondition of industry development. Entrepreneurship and Sustainability Issues, 6(4), 1587–
  10. https://doi.org/10.9770/jesi.2019.6.4(3)
  11. Bojkovska, K., Joshevska, F., Tosheva, E., & Momirceski, J. (2021). Global Raspberries Market
  12. Trends and Their Impact on the Macedonian Raspberries Market. 8(February), 362–369.
  13. Chetan Dwarkani, M., Ganesh Ram, R., Jagannathan, S., & Priyatharshini, R. (2015). Smart farming
  14. system using sensors for agricultural task automation. Proceedings - 2015 IEEE International
  15. Conference on Technological Innovations in ICT for Agriculture and Rural Development, TIAR
  16. , Tiar, 49–53. https://doi.org/10.1109/TIAR.2015.7358530
  17. Cook, R. L. (2011). Fundamental forces affecting the U.S. Fresh berry and lettuce/leafy green
  18. subsectors. Agricultural & Applied Economics Association, 26(4), 5.
  19. Eastfruit. (2021). Blueberry exports from Peru in 2020: Record-low price and record-high volume.
  20. East Fruit. https://east-fruit.com/en/news/blueberry-exports-from-peru-in-2020-record-low-
  21. price-and-record-high-volume/
  22. EastFruit. (2021a). Blueberries cheaper than raspberries and more bad news for blueberry growers
  23. from Ukraine. East Fruit Magazine. https://east-fruit.com/en/news/blueberries-cheaper-than-
  24. raspberries-this-season-and-more-bad-news-for-blueberry-producers-in-ukraine/
  25. EastFruit. (2021b). Fresh raspberries – the fastest growing export segment of Polish horticulture.
  26. East Fruit Magazine. https://east-fruit.com/en/news/fresh-raspberries-the-fastest-growing-
  27. export-segment-of-polish-horticulture/
  28. Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An Overview of
  29. Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges. IEEE
  30. Internet of Things Journal, 5(5), 3758–3773. https://doi.org/10.1109/JIOT.2018.2844296
  31. FAO. (2020). Food systems and COVID-19 in Latin America and the Caribbean: The opportunity for
  32. digital transformation.
  33. FAO. (2021). Digitalization offers agriculture a faster pathway to recovery from COVID-19 crisis.
  34. Food and Agriculture Organization of the United Nations.
  35. http://www.fao.org/europe/news/detail-news/en/c/1402316/
  36. Food and Agriculture Organization of the United Nations. (2021). FAOSTAT Crops data visualization. FAO. http://www.fao.org/faostat/en/#data/QC
  37. Foreign Agricultural Service. (2021a). Foreign Agricultural Service Spotlight : Peru' s Fruit Sector
  38. Races to New Heights. In United States Department of Agriculture International (Issue June).
  39. Foreign Agricultural Service. (2021b). Raspberry Market Brief Country:
  40. https://apps.fas.usda.gov/newgainapi/api/Report/DownloadReportByFileName?fileName=Dai
  41. ry Update_Lima_Peru_06-19-2020
  42. FreshFruitPortal. (2020). Mexico: Blackberry production plummets 29 percent in Michoacán amid
  43. pandemic. Fresh Fruit Portal. https://www.freshfruitportal.com/news/2020/11/20/blackberry-
  44. production-plummets/
  45. FruitLogistica. (2021). European Statistics Handbook. Fruit Logistica, 23.
  46. Gilpin, L. (2014). How Big Data Is Going to Help Feed Nine Billion People by 2050. Tech Republic.
  47. https://www.techrepublic.com/article/how-big-data-is-going-to-help-feed-9-billion-people-by-
  48. /
  49. González-Ramírez, M. G., Santoyo-Cortés, V. H., Arana-Coronado, J. J., & Muñoz-Rodríguez, M.
  50. (2020). The insertion of Mexico into the global value chain of berries. World Development
  51. Perspectives, 20(July), 100240. https://doi.org/10.1016/j.wdp.2020.100240
  52. GSMA. (2021). COVID-19: Accelerating the Use of Digital Agriculture The GSMA AgriTech
  53. Programme. www.gsma.com
  54. Hernandez, M. (2021). EU y Canadá, abiertos a negocios con pequeños productores poblanos. El
  55. Economista. https://www.eleconomista.com.mx/estados/EU-y-Canada-abiertos-a-negocios-
  56. con-pequenos-productores-poblanos--20210708-0100.html
  57. Kentsch, S., Cabezas, M., Tomhave, L., Groß, J., Burkhard, B., Larry, M., Caceres, L., Waki, K., &
  58. Diez, Y. (2021). Computer Vision , Computational Topology and Deep Learning. Sensors, 1–
  59. Keogh, M., & Henry, M. (2016). The Implications of Digital Agriculture and Big Data for Australian
  60. Agriculture: Vol. April (Issue April). Australian Farm Institute.
  61. Kljajic, N. (2017). Production and export of raspberry from the Republic of Serbia. Ekonomika, 63(2),
  62. –53. https://doi.org/10.5937/ekonomika1702045k
  63. La Torre-Ramirez, C. A. (2021). Exploring the factors affecting just sustainability transitions in the
  64. agri- food sector in developing countries The case of Peruvian blueberries(Issue June). Uppsala
  65. Universitet.
  66. Lassoued, R., Macall, D. M., Smyth, S. J., Phillips, P. W. B., & Hesseln, H. (2021). Expert insights
  67. on the impacts of, and potential for, agricultural big data. Sustainability (Switzerland), 13(5), 1–
  68. https://doi.org/10.3390/su13052521
  69. Li, S., Luo, H., Hu, M., Zhang, M., Feng, J., Liu, Y., Dong, Q., & Liu, B. (2019). Optical non-
  70. destructive techniques for small berry fruits: A review. Artificial Intelligence in Agriculture, 2,
  71. –98. https://doi.org/10.1016/j.aiia.2019.07.002
  72. Lin, B. xi, & Zhang, Y. Y. (2020). Impact of the COVID-19 pandemic on agricultural exports. Journal
  73. of Integrative Agriculture, 19(12), 2937–2945. https://doi.org/10.1016/S2095-3119(20)63430-X
  74. Mammadova, L. (2019). Azerbaijan to grow British berry varities. MENAFN.
  75. https://menafn.com/1098506702/Azerbaijan-to-grow-British-berry-varities
  76. Manyika, J., Chui Brown, M., B. J., B., Dobbs, R., Roxburgh, C., & Hung Byers, A. (2011). Big data:
  77. The next frontier for innovation, competition and productivity. McKinsey Global Institute, June,
  78. https://bigdatawg.nist.gov/pdf/MGI_big_data_full_report.pdf
  79. Miller, N. J., Griffin, T. W., Ciampitti, I. A., & Sharda, A. (2019). Farm adoption of embodied
  80. knowledge and information intensive precision agriculture technology bundles. Precision
  81. Agriculture, 20(2), 348–361. https://doi.org/10.1007/s11119-018-9611-4
  82. Misra, N. N., Dixit, Y., Al-Mallahi, A., Bhullar, M. S., Upadhyay, R., & Martynenko, A. (2020). IoT,
  83. big data and artificial intelligence in agriculture and food industry. IEEE Internet of Things
  84. Journal, 4662(c), 1–1. https://doi.org/10.1109/jiot.2020.2998584
  85. Morales, R. (2021). México es competitivo en exportaciones de frambuesa sin subsidios: USITC. El
  86. Economista. https://www.eleconomista.com.mx/empresas/Mexico-es-competitivo-en-
  87. exportaciones-de-frambuesa-sin-subsidios-USITC-20210721-0021.html
  88. Muller, M. L., & Campos, H. (2021). Open innovation and value creation in crop genetics. In The
  89. Innovation Revolution in Agriculture (pp. 70–93).
  90. Ozdogan, B., Gacar, A., & Huseyin, A. (2017). Digital agriculture practices in the context of
  91. agriculture 4.0. Journal of Economics Finance and Accounting, 4(2), 184–191.
  92. https://doi.org/10.17261/pressacademia.2017.448
  93. Patrick, A., & Li, C. (2017). High throughput phenotyping of blueberry bush morphological traits
  94. using unmanned aerial systems. Remote Sensing, 9(12). https://doi.org/10.3390/rs9121250
  95. Regan, Á. (2019). 'Smart farming' in Ireland: A risk perception study with key governance actors.
  96. NJAS - Wageningen Journal of Life Sciences, 90–91(January), 100292.
  97. https://doi.org/10.1016/j.njas.2019.02.003
  98. Rimantas, V. P. (2020). Berries. In Kaunas University of Technology, Kaunas Lituania. Elsevier Inc.
  99. https://doi.org/10.1016/b978-0-12-817106-6.00005-8
  100. Rosales-Soto, A., & Arechavala-Vargas, R. (2020). Agricultura inteligente en México : Analítica de
  101. datos como herramienta de competitividad. Vinculategia, 1415–1427.
  102. Rotz, S., Duncan, E., Small, M., Botschner, J., Dara, R., Mosby, I., Reed, M., & Fraser, E. D. G.
  103. (2019). The Politics of Digital Agricultural Technologies: A Preliminary Review. Sociologia
  104. Ruralis, 59(2), 203–229. https://doi.org/10.1111/soru.12233
  105. Shi, X., An, X., Zhao, Q., Liu, H., Xia, L., Sun, X., & Guo, Y. (2019). State-of-the-art internet of
  106. things in protected agriculture. Sensors (Switzerland), 19(8). https://doi.org/10.3390/s19081833
  107. Sijmonsma, A. (2021). Growth is the word that describes Mexican horticulture best. Fresh Plaza.
  108. https://www.freshplaza.com/article/9303249/growth-is-the-word-that-describes-mexican-
  109. horticulture-best/
  110. Sonka, S. T. (2021). Digital Technologies, Big Data, and Agricultural Innovation. In The innovation
  111. revolution in Agriculture (p. 234).
  112. Tang, S., Zhu, Q., Zhou, X., Liu, S., & Wu, M. (2002). A conception of digital agriculture.
  113. International Geoscience and Remote Sensing Symposium (IGARSS), 5(C), 3026–3028.
  114. https://doi.org/10.1109/igarss.2002.1026858
  115. United States Agency, I. D. (2020). PRIVATE SECTOR ACTIVITY ( PSA ) Quarterly Progress Report
  116. (Issue USAID from the american people).
  117. Van Es, H., & Woodard, J. (2017). Innovation in agriculture and food systems in the digital age. The
  118. Global Innovation Index, Table 1, 97–104.
  119. Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big Data in Smart Farming – A review.
  120. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023
  121. Wu, F., Guan, Z., Arana Coronado, J. J., & Garcia-Nazariega, M. (2018). An Overview of Strawberry
  122. Production in Mexico. In University of Florida (Vol. 2018, Issue 1).
  123. https://doi.org/10.32473/edis-fe1014-2017
  124. Zhang, Y., Wang, G., Chang, L., Dong, J., Zhong, C., & Wang, L. (2014). Current status of strawberry
  125. production and research in China. Acta Horticulturae, 1049, 67–72.
  126. Zheng, C., Abd‐elrahman, A., & Whitaker, V. (2021). Remote sensing and machine learning in crop
  127. phenotyping and management, with an emphasis on applications in strawberry farming. Remote
  128. Sensing, 13(3), 1–29. https://doi.org/10.3390/rs13030531