Counting tender tea shoots in a sampled area is a tedious task and requires a large amount of time. In this article, we propose a vision-based method for automatically detecting and counting the number of tea shoots in an image acquired from a tea field.
Identifying plants is a challenging task considering the large number of existing species in the world. The inter-species similarity and the intra-species variability make the identification task particularly difficult and time consuming.