Innovación tecnológica en un caso de agricultura protegida en México

Vargas-Canales, Juan Manuel; Rangel, María Isabel Palacios; Aguilar-Ávila, Jorge; Ocampo-Ledesma, Jorge Gustavo; Kreimer, Pablo; Ortiz-Martínez, Germán

doi:10.5154/r.rga.2017.61.02

Cited by 6 publications

(3 citation statements)

References 20 publications

(50 reference statements)

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“…This has transformed all production systems by replacing crops or livestock breeds, and integrating plasticulture and new agricultural constructions, which further amplify economic asymmetries. This situation is becoming evident with the rapid technological and productive specialization of agricultural regions [57]. This has naturally generated a concentration of infrastructure, information and knowledge about new technologies [37].…”

Section: Discussionmentioning

confidence: 99%

Technological Capabilities for the Adoption of New Technologies in the Agri-Food Sector of Mexico

Vargas-Canales

2023

Agriculture

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Agriculture 4.0 and 5.0 generate good expectations of satisfying the growing demand for food in a sustainable way. However, in order to make effective use of scientific and technological developments, infrastructure, knowledge, experience and skills are required. In this sense, the objective of this research was to analyze the technological capacity of the Mexican agri-food sector for the adoption of new technologies. The documentary research method was used, and the information was obtained from the Encuesta Nacional Agropecuaria, the Instituto Nacional de Estadística y Geografía and the Instituto Mexicano para la Competitividad. A cluster analysis was performed to generate a typology of states, in addition to an analysis of variance with the Kruskal–Wallis H Test for independent samples, for which the IBM® SPSS Statistics program was used. The variables analyzed presented very low values, indicating low technological capabilities. Three clusters of states with different technological capabilities were identified. The first was formed of four states in the north of the country with high technological capabilities, for which it was expected that they would have higher adoption rates. Next, there was a group made up of ten states in the north and center of the country with intermediate technological capabilities. Finally, there was a group of 18 states of the country made up of states from the center and south of the country, which present the lowest levels. The results indicate that the technological capacities for the adoption of new technologies in the Mexican agri-food sector are low in general, and are concentrated in some highly specialized regions linked to international markets.

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Section: Discussionmentioning

confidence: 99%

Technological Capabilities for the Adoption of New Technologies in the Agri-Food Sector of Mexico

Vargas-Canales

2023

Agriculture

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“…In that sense, it seems that science and technology are only at the service of transnational corporations (Liaudat, 2020) and that their approaches are the only valid ones. The problem with the above lies in the fact that the effects and impacts of the scientific and technological development that it generates on social, political, economic, cultural, environmental and, above all, health issues are not known (Vargas Canales, 2016). It is necessary to mention that we have everything to achieve healthy and adequate food production.…”

Section: Dynamics Of Agri-food Systemsmentioning

confidence: 99%

Science, technology, agri-food systems, health, and wellbeing: logic, dynamics, and relationships

Vargas-Canales,

Orozco-Cirilo,

Estrada

et al. 2024

Front. Sustain. Food Syst.

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The agri-food sector worldwide is the most important for life. The recent pandemic made it clear that the best way to resist, overcome and adapt to health problems is by maintaining a healthy, adequate and balanced diet. Currently, food comes almost entirely from agri-food systems, the problem is that the agri-food sector subordinated to an economic and scientific model with very clear interests and objectives. In this sense, the aim of this work was to carry out an analysis of the logic, dynamics and relationship between science, technology, agri-food systems, health and wellbeing from the perspective of Social Studies of Science and Technology. With what is intended contribute to the debate on the future and the strategic transformation of agri-food systems. As a first point, an exploration of the evolution and trends of science and technology in the agri-food sector is carried out. Next, an analysis is developed on the importance of agri-food systems and the ways in which they have been configured. Subsequently, the relationship between food and health and the main implications and damage caused by the current agri-food regime are addressed. Based on the above, some alternatives are proposed to improve nutrition, health and wellbeing. These alternatives imply, on the one hand, a profound reconfiguration of technological systems, orienting them toward the reproduction of life. Secondly, and as a consequence of the above, a reorganization of the economic and social systems. To achieve this, it is advisable to design a policy that promotes sustainable agri-food systems and integrate broad work and research groups that allow addressing these problems and proposing alternatives from different perspectives. Finally, it is important to design and implement science dissemination programs on the relationships, controversies, tensions and problems that exist between scientific and technological development and the agri-food sector, health and wellbeing with the aim of having a true impact on the society and a genuine social appropriation of knowledge.

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“…En este contexto México es un país con climas heterogéneos en sus regiones agrícolas, por eso las actividades agrarias tienen niveles muy desiguales de tecnología y productividad, obteniendo ganancias muy desiguales por lo cultivado (Vargas-Canales et al, 2018). Actualmente y en parte como consecuencia de la pandemia provocada por el Covid 19, a nivel global el sector agroalimentario está teniendo una serie de ajustes y cambios tecnológicos, mismos que han incidido en su estructura económica (Perilla et al, 2019).…”

Section: Introductionunclassified

Inteligencia artificial en agricultura - Uso de algoritmos, drones y biosensores

Lira-Saldivar,

Lara-Viveros

2023

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Editora Direitos para esta edição cedidos à Atena Editora pelos autores. Open access publication by Atena Editora Todo o conteúdo deste livro está licenciado sob uma Licença de Atribuição Creative Commons. Atribuição-Não-Comercial-NãoDerivativos 4.0 Internacional (CC BY-NC-ND 4.0). O conteúdo do texto e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos autores, inclusive não representam necessariamente a posição oficial da Atena Editora. Permitido o download da obra e o compartilhamento desde que sejam atribuídos créditos aos autores, mas sem a possibilidade de alterála de nenhuma forma ou utilizá-la para fins comerciais.Todos os manuscritos foram previamente submetidos à avaliação cega pelos pares, membros do Conselho Editorial desta Editora, tendo sido aprovados para a publicação com base em critérios de neutralidade e imparcialidade acadêmica.A Atena Editora é comprometida em garantir a integridade editorial em todas as etapas do processo de publicação, evitando plágio, dados ou resultados fraudulentos e impedindo que interesses financeiros comprometam os padrões éticos da publicação. Situações suspeitas de má conduta científica serão investigadas sob o mais alto padrão de rigor acadêmico e ético. Conselho Editorial Ciências Agrárias e Multidisciplinar

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Innovación tecnológica en un caso de agricultura protegida en México

Cited by 6 publications

References 20 publications

Technological Capabilities for the Adoption of New Technologies in the Agri-Food Sector of Mexico

Technological Capabilities for the Adoption of New Technologies in the Agri-Food Sector of Mexico

Science, technology, agri-food systems, health, and wellbeing: logic, dynamics, and relationships

Inteligencia artificial en agricultura - Uso de algoritmos, drones y biosensores

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