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Intelligent Obstacle Avoidance Control Algorithm for Agricultural Drones in Complex Farmland Environments

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Intelligent control algorithm shows improved obstacle avoidance in UAVs, suggesting better agricultural efficiency.

Path planning error is reduced to under 2.1 meters, improving navigation accuracy and safety.
Detection accuracy of small targets is enhanced through an optimized CIOU loss function, improving UAV performance.
Fuzzy logic controller implementing adaptive PID control boosts flight stability in challenging environments.
Reinforcement learning path planning integrates with a lightweight YOLOv5 model, demonstrating significant efficiency gains.

Yuan et al. (2025) studied this question.

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