Information and Communication Technology (ICT) plays a transformative role in strengthening agricultural extension services by addressing critical information gaps through practical, accessible solutions. Consider a cocoa farmer in Ghana who receives SMS alerts about optimal harvesting times and disease prevention measures directly to their mobile phone, eliminating the need to wait weeks for an extension officer's visit. Digital platforms like iCow in Kenya send dairy farmers personalized text messages about breeding cycles, feeding schedules, and milk production optimization based on their specific herd data. In Nigeria, the e-Agriculture platform connects smallholder farmers with agricultural experts through WhatsApp groups where they can send photos of diseased crops and receive immediate diagnosis and treatment recommendations. Weather forecasting services delivered via mobile apps help farmers in drought-prone regions like northern Ghana plan irrigation schedules and crop selection, while market price SMS services enable cassava farmers to know commodity prices in different markets before making selling decisions. Video tutorials accessible through smartphones demonstrate proper pesticide application techniques, reducing crop losses and health risks for farmers who previously relied on word-of-mouth instructions. Digital soil testing services, where farmers photograph soil samples and receive fertilizer recommendations via mobile apps, make precision agriculture affordable for small-scale operations. Mobile banking integration through platforms like M-Pesa allows rural farmers to access microfinance for seeds and fertilizers without traveling to distant bank branches. Extension workers now use tablets to collect real-time data on crop yields, pest outbreaks, and farmer challenges, creating evidence-based insights that inform policy decisions and resource allocation. However, successful implementation requires addressing infrastructure challenges like poor network coverage in remote areas, ensuring digital literacy training for both extension workers and farmers, developing content in local languages, and maintaining affordable data costs that don't burden low-income farming communities.