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Potato Visual Navigation Line Detection Based on Deep Learning and Feature Midpoint Adaptation
Potato machinery has become more intelligent thanks to advancements in autonomous navigation technology. The effect of crop row segmentation directly affects the subsequent extraction work, which is an important part of navigation line detection. However, the shape differences of crops in different growth periods often lead to poor image segmentation. In addition, noise such as field weeds and light also affect it, and these problems are difficult to address using traditional thresholddoi:10.3390/agriculture12091363 fatcat:dwdgrmn5yjgnle2enj2ekqp7r4