Interrogating the Socio-Ethical Dilemmas of Precision Agriculture Technologies

摘要: Farming has moved into a digital age where data and information are available to farmers to make informed agronomic and financial on-farm decisions. The development of precision agriculture (PA), such as big data technologies and machine learning algorithms is transforming the agricultural food production system in diverse ways, economically, environmentally, and socially. Despite benefits afforded by PA to agricultural productivity and environmental sustainability, these technologies can raise unintended societal challenges that can also limit their adoption among farmers. PA is changing how farming is done, reconstructing farmers’ social identities, and influencing relationships between farmers, agronomists, and technology developers. This dissertation attempts to explore the social and ethical implications of PA on farmers by understanding changes to their social practices and relationships with big data …