Exploring The Adoption of Artificial Intelligence in Agricultural Information Dissemination and Food Security

Before the AI, agriculture had immensely benefitted from communication technologies in different ways. From creative word-of-mouth to the use of mass media, artificial intelligence now takes agricultural communication to a new level. This study explored the use of AI for agriculture communication and sustainable food security. The study explored that AI functions as communication channels: Surveillance, Correlation, Transmission of the media and task planning execution. The study identified nexus between AI and agriculture, its categories its applications as Robotics, Crop and soil monitoring, and Predictive analytics. The study identified factors that aid the growth of AI in agriculture to: Computing power and capacity, Data, and Algorithms. Challenges in its adoptions are: poor information communication technology infrastructure, data accessibility, validity and reliability, costs, ethical considerations, language and literacy barrier. The study provides future complementary role of communication and AI in sustainable agricultural development as: sustainable agricultural practices and innovation, smart farming ecosystems: improved supply chain management, data-driven decision- making, reverse in urban drift and stigmatization, complex ethical and regulatory challenges. This study concludes that Communication and adoption of AI as an innovation to the farmers will help in planning and execution of their farming objectives while profiting from their efforts is assured.