Plant diseases may threaten the safety of crops around the world, and timely detection of
crop diseases and accurate determination of disease species are important to protect crop …

Plant leaf identification is a significant challenge in the fields of computer vision and pattern
recognition. This article presents a new approach to plant leaf identification, one that …

In the practice of plant classification, the design of hand-crafted features is more dependent
on the ability of computer vision experts to encode morphological characters that are …

Taxonomic studies of leaves are one of the most effective means of correctly identifying plant
species. In this paper, mixed activation function is used to improve the ResNet50 network in …

In this study, an image-analysis-based method is proposed to estimate the length and width
of plant leaves, some of which have concave tips and petiole insertions. Here, kiwifruit …

Plants are ubiquitous in human life. Recognizing an unknown plant by its leaf image quickly
is a very interesting and challenging research. With the development of image processing …

The productivity of horticultural crops in an artificial light condition are highly influenced by
the structure of plant and the area coverage. Accurate measurement of leaf area is very …

Plants can be seen everywhere in daily life and are closely connected with our lives. The
recognition and classification of plants are of great significance to ecological and …

This study aims to identify Para rubber species using a combination of five machine learning
techniques to classify leaf images. The learning process is defined using a dataset for each …

Leaf shape can reflect the survival and development of plants in different environments. In
particular, leaf area, showing a scaling relationship with other leaf-shape indices, has been …