The multiple drones operate collaboratively with minimal centralized control in the swarm robotics system. Each drone acts autonomously and shares information with nearby drones for optimizing crop spraying patterns, surveying large farmlands, and identifying anomalies in plant health. Therefore, a multi-antenna swarm robotics system for smart farming in agriculture is proposed. The multiple antenna system in drones transmits multiple data streams, increasing the coverage and throughput. The multi-antenna with a beamforming technique steers the signal to the intended receiver, which reduces the interference in the agricultural drones. The ant colony optimization algorithm is introduced for the optimal deployment of drones in smart farming. An efficient shortest path routing protocol is proposed to avoid collision between drones in the system. The simulation results show that the proposed algorithm gives better performance compared to the existing algorithm in terms of residual energy, delay, and throughput.