ITU-T SERIES Y SUPP 83 PDF

The scope of this Supplement encompasses a comprehensive analysis of the integration of artificial intelligence (AI) and Internet of things (IoT) technologies in digital agriculture. This includes identifying and examining various successful use cases of AI and IoT implementation, highlighting objectives, innovations, data collection methods, AI/ML algorithms, accuracy, performance, deployment states and key benefits. The Supplement compiles best practices, technological innovations and trends, offering recommendations to enhance agricultural productivity, sustainability and efficiency. It evaluates environmental and economic impacts, focusing on resource conservation, reduced chemical usage, cost savings and improved economic returns for farmers. The scalability and deployment of AI and IoT solutions across different agricultural contexts and regions are examined through case studies of successful deployments. Lastly, the Supplement explores future research directions and potential advancements, identifying areas for further innovation and standardization to guide stakeholders in effectively and sustainably implementing AI and IoT technologies in agriculture.