In-field citrus fruit detection and tracking based on deep learning

Recently, an article published in Horticulture Research proposed an in-field fruit counting method based on deep learning. The experiment was performed in two orange orchards in Meishan city in the Sichuan Province of China. The methods included the fruit detection algorithm OrangeYolo and the fruit tracking algorithm OrangeSort, which effectively enhanced the accuracy of citrus fruit counting.

computer sciences deep learning detection learning tracking