This paper draws from interviews with (1) US farmers who have adopted automated systems; (2) individuals employed by North American firms that engineer, manufacture, and/or repair these technologies; and (3) US farm laborers (immigrant and domestic) and representatives from farm labor organizations. The argument draws from the literature interrogating the fictional expectations that underlie capitalist reproduction, reading it through a distributed (ontological) lens. The framework questions whether concepts like ‘automation’ and ‘skill’ provide sufficient analytic and conceptual clarity to critically engage these platforms and suggests that we think about what these technologies do rather than fixate on what each is
Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges is to obtain reliable data...
El objetivo de esta investigación fue identificar la oferta y demanda tecnológica para plantear alternativas en la innovación de la cadena agroalimentaria de maíz en el estado de Hidalgo, México. Se realizaron las siguientes etapas: 1) caracterización de la cadena;...
En el primer capítulo presenta los retos para la seguridad alimentaria y el cambio climático en México y el mundo, así como los compromisos internacionales de México para atender ambos desafíos. En el segundo capítulo presenta la alianza estratégica entre...
Crowdsourcing, understood as outsourcing tasks or data collection by a large group of non-professionals, is increasingly used in scientific research and operational applications. In this paper, we reviewed crowdsourcing initiatives in agricultural science and farming activities and further discussed the...
L’ouest du Rio Grande do Sul est dominé par la culture du soja, du riz et par l’élevage bovin. Dans la partie sableuse, le milieu est affecté par des phénomènes d’érosion produisant des modelés éoliens spectaculaires (arenização) rappelant dans l’imaginaire...