F. Joudelat

Plant detection and counting from high-resolution RGB images acquired from UAVs: comparison between deep-learning and handcrafted methods with application to maize, sugar beet, and sunflower crops

This paper compares deep-learning and handcrafted methods for plant detection and counting in UAV-acquired RGB images of maize, sugar beet, and sunflower, finding that deep learning outperforms handcrafted methods, especially with weed management improvements.