Our paper provides a comprehensive overview of the revolutionary role drones have in agriculture, making a significant contribution to the scientific discourse. The study highlights how data-driven decision-making, accuracy, and efficiency from drones can solve significant agricultural problems and enhance farming operations. Important farming chores are covered in detail, including soil quality assessment, pest management, livestock monitoring, and precision planting. The review focuses on how vehicle-to-vehicle communication (V2V) and Unmanned Aerial Vehicle (UAV) detection technologies can improve safety and operational efficacy in agricultural drone applications. A thorough analysis of different detection methods, including passive radio frequency (RF), radar, computer vision, acoustic, and computer vision, emphasizes the significance of adaptable and comprehensive detection systems. The study highlights the revolutionary potential of drone-to-drone and vehicle-to-vehicle (V2V) communication while illuminating a number of Unmanned Aerial Vehicle (UAV) applications in agriculture. The systematic study concludes by suggesting future research priorities to assure a promising era of efficiency and safety in sustainable agricultural drone technology. These objectives center on enhancing security measures, streamlining communication protocols, and lowering dependency on the Global Navigation Satellite System (GNSS).