Agrifood systems generate significant benefits to society, including the food that nourishes us and jobs and livelihoods for over a billion people. However, their negative impacts due to unsustainable business-as-usual activities and practices are contributing to climate change, natural resource degradation and the unaffordability of healthy diets.
La Gestión de Tecnología e Innovación (GTI) juega un papel crucial en el avance del sector agropecuario de una nación, ya que promueve el mejoramiento de la productividad y competitividad en todas las regiones, consolidándose como una herramienta fundamental en su desarrollo. El propósito central de este estudio es proponer una nueva perspectiva en la gestión de la tecnología y la innovación para las Unidades de Producción Agropecuaria (UPA) de la provincia de Cotopaxi, presentando así una alternativa innovadora que busca resolver los retos existentes y futuros en esta materia.
[Introducción]: El cultivo de madera sostenible pierde terreno ante la producción agrícola y otros usos de la tierra; para contrarrestar esto, es necesario entender de qué manera el ente productor toma decisiones en la adopción voluntaria de sistemas agrícolas.
In rural areas of developing countries, more than 70% of the population still depends on agriculture. However, economic crises, unscientific land allocation and climate change issues have hindered attempted gains in agricultural productivity and related rural development outcomes. Technology-driven breakthrough has usually pushed agriculture to the brink of another development that can affect not only plant diversity and yield, but also climatological and socio-economic outcomes.
Food security is critical to creating an inclusive and peaceful world. Accelerating the pace of innovation in agriculture will be key to addressing the many challenges facing our planet. ACS Agricultural Science & Technology (AAST) supports the building of inclusive science communities to speed progress toward the United Nations Sustainable Development Goals (SDGs).
AgriFoodTech start-ups are coming to be seen as relevant players in the debate around and reality of the transformation of food systems, especially in view of emerging or already-established novel technologies (such as Artificial Intelligence, Sensors, Precision Fermentation, Robotics, Nanotechnologies, Genomics) that constitute Agriculture 4.0 and Food 4.0. However, so far, there have only been limited studies of this phenomena, which are scattered across disciplines, with no comprehensive overview of the state of the art and outlook for future research.
En la actualidad, las tecnologías digitales forman parte de nuestra vida cotidiana, y la constante búsqueda de factores innovadores se ha vuelto indispensable para adaptarse al futuro. La innovación involucra la creación de algo nuevo y diferente, ya sea resolver un problema preexistente de una manera original, enfrentar un desafío inexplorado utilizando una solución comprobada, o bien, aportar a una problemática completamente nueva con una respuesta novedosa (FAO, 2023a).
In the SALSA project, transdisciplinarity means a process of integration of knowledge between researchers belonging to different disciplines (in our case, sociology, economics, anthropology, geography) and with non-academic actors such as NGOs members, innovation brokers, policy makers). The role of transdisciplinary theory building within SALSA is to link diverse areas of knowledge through a co-constructed conceptual framework in order to underpin effective action towards improved FNS.
Agroecology and organ agriculture present promising alternatives to the current food system, supported by a growing body of evidence. Despite the potential of AE/O, their full benefits cannot be realised in most countries due to political and institutional barriers and lock-ins, including incentives and funding that favour "business as usual" food systems. Overcoming present and future challenges will require educated and empowered stakeholders to support AE/O agriculture in their fields.
The current deliverable (D6.2) is divided into two parts each corresponding to one of its two main audiences, namely:
Part 1 – Scientific Methodology