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.
Chile es un país líder en la exportación de alimentos, en donde la apicultura juega un rol fundamental y cuenta con más de 1 300 000 colmenas para apoyar la producción de alimentos a través de la polinización. Las buenas prácticas deben ser abordadas de generación en generación de apicultores para favorecer el mantenimiento de colmenas sanas y activas para la presentación de servicios sistémicos de polinización.
Holding a vision of Lifestyle for Environment (LiFE), and with a target of net-zero carbon emission by 2070, India plans to usher in a green industrial and economic transition through a movement with an environmentally conscious lifestyle. One of the credible options for a continuous, predictable, accessible and cost-free green energy source is solar power. In the agricultural sector, one of the key innovations in promoting solar irrigation was the initiation of the world's first ever Solar Cooperative - Dhundi Solar Energy Producers' Cooperative Society (DSEPCS) - in Gujarat, India.
Mission-oriented agricultural innovation systems (MAIS) are becoming more prevalent in view of tackling the challenges of agri-food systems transformation. In this perspective, we argue that the politics of MAIS requires more comprehensive and considerable attention in the field, given the contested and deeply normative nature of the direction of innovations in agri-food systems transformation. Literature from development studies, policy sciences, and transition studies is reviewed to inform the perspective.
Droughts are causing severe damages to tropical countries worldwide. Although water abundant, their resilience to water shortages during dry periods is often low. As there is little knowledge about tropical drought characteristics, reliable methodologies to evaluate drought risk in data scarce tropical regions are needed.
Digitization in agriculture is rapidly advancing further on. New technologies and solutions were developed and get invented which ease farmers’ daily life, help them and their partners to gain knowledge about farming processes and environmental interrelations. This knowledge leads to better decisions and contributes to increased farm productivity, resource efficiency, and environmental health. Along with numerous advantages, some negative aspects and dependencies risk seamless workflow of agricultural production.
This article extends social science research on big data and data platforms through a focus on agriculture, which has received relatively less attention than other sectors like health. In this paper, I use a responsible innovation framework to move attention to the social and ethical dimensions of big data “upstream,” to decision-making in the very selection of agricultural data and the building of its infrastructures.
Cotton, a major crop worldwide, is harvested in mechanized production systems once at the end of the growing season. To facilitate harvest and maximize fiber quality, the plants are typically defoliated when about 60% of the cotton bolls are open. Due to non-uniform maturation, the bolls that have opened early expose their fiber to weather until harvest, commonly for weeks, degrading fiber quality. Furthermore, high capacity harvesting machines are heavy, potentially compacting the soil that in turn reduces hydraulic conductivity in the wheel tracks and reducing yield.
Local banks, NGOs and public institutions worked closely to ensure that women could access loans, join associations and have their voices be heard in collective decision-making processes. It also allowed these women and their communities to make collective investments that would increase their production, stabilize and diversify their nutrition, and ultimately achieve a better life.
Geographic information system (GIS) data is often used to map socio-economic data with a spatial component. This data, which is obtained from multiple open-source databases, complements official statistics and generates additional spatial inputs to statistical and econometric analyses. IFAD uses impact assessments using data from face-to-face interviews in order to determine the impact of their projects on strategic goal and objectives. However, the COVID-19 pandemic meant these interviews could no longer take place.