The precise estimation of the number of trees, their individual tree locations, along with
species information, is crucial for enhancing ecosystem services in urban areas. Previous …

Efficient image recognition is important in crop and forest management. However, it faces
many challenges, such as the large number of plant species and diseases, the variability of …

The classification of Euphorbia species is a challenging task due to their diverse growth
forms and morphological features. In this paper, we have used the transfer learning …

Tree species identification and tree organ segmentation using images are challenging
problems that are useful in many forestry-related tasks. In this paper, the urban street tree …

To avoid loss and maintain the quality of the crop, identifying plant diseases is essential.
However, it is challenging and time-consuming to identify a plant disease on-site. An …

As remote sensing transforms forest and urban tree management, automating tree species
classification is now a major challenge to harness these advances for forestry and urban …

Efficient tree species identification is of great importance in forest inventory and
management. As the textural properties of tree barks vary less notably as a result of …

In recent years, the automatic recognition of tree species based on images taken by digital
cameras has been widely applied. However, many problems still exist, such as insufficient …

The information of urban tree species resources is of vital significance to the planning and
design of urban green spaces. Tree organs, such as the bark are used as the primary …

Identification of tree species plays a key role in forestry related tasks like forest conservation,
disease diagnosis and plant production. There had been a debate regarding the part of the …