This paper proposes an improved YOLOv5 (You Look Only Once)-based method to detect wheat spikes accurately in UAV images and solve spike error detection and ...

Sep 6, 2024 · This paper proposes an improved YOLOv5 (You Look Only Once)-based method to detect wheat spikes accurately in UAV images and solve spike error ...

Abstract: Deep-learning-based object detection algorithms have significantly improved the performance of wheat spike detection. However, UAV images crowned ...

Sep 27, 2022 · This paper proposes a method based on YOLOv5s with an improved attention mechanism, which can accurately detect the number of small-scale wheat spikes.

This paper proposes an improved YOLOv5 (You Look Only Once)-based method to detect wheat spikes accurately in UAV images and solve spike error detection and ...

Sep 28, 2022 · Lu et al. (2017) developed a smartphone application software to complete the detection and collection of wheat diseased spikes, with an accuracy ...

Deep-learning-based object detection algorithms have significantly improved the performance of wheat spike detection. However, UAV images crowned with ...

A deep learning method for oriented and small wheat spike detection was proposed to accurately detect wheat spikes in UAV images.

Jun 18, 2024 · They achieved an average accuracy of 94.1% in detecting wheat spikes in UAV images, surpassing the standard YOLOv5 by 10.8%. Li et al. (2022) ...

Jun 19, 2024 · They achieved an average accuracy of 94.1% in detecting wheat spikes in UAV images, surpassing the standard YOLOv5 by 10.8%. Li et al. (2022) ...