1/9/2024 0 Comments Instaling Farming 2020![]() The potential for data-driven farming to improve food systems has recently expanded due to advances in three key areas: data generation (for example, in mobile devices, field sensors, satellites and ‘farmers as sensors’), data processing and predictive analytics (for example, by using big data stacks, machine learning and deep learning), and human–computer interactions (that is, human-centric approaches to create experiences that improve the ease and use of insights through voice, text and images). We define data-driven farming as the use of data to augment decision-making in farming systems and thus improve food system outcomes such as crop yields, profits, environmental sustainability and food security. There is concern that this digital divide could stall the realization of human rights 11 and the Sustainable Development Goals of the United Nations (UN), particularly those relating to education, equity, health and well-being 12. Nearly half of the world’s population is estimated to still be without Internet access 10. Although the footprints of mobile networks and mobile phone ownership have increased in recent years, and the costs of mobile data have declined 9, substantial gaps in access remain. However, mobile network coverage, handset ownership and affordable mobile service subscriptions are necessary prerequisites to achieve these solutions. The aim is to use big data and mobile technology to address issues as diverse as low crop yields 6, poor human nutrition 7, disease 8 and climate adaptation 1. Data-driven interventions are widely suggested to be a disruptive force in global food systems 1, 2, 3, 4, 5.
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