Species knowledge is essential for protecting biodiversity. The identification of plants by
conventional keys is complex, time consuming, and due to the use of specific botanical …

Plant systematics can be classified and recognized based on their reproductive system
(flowers) and leaf morphology. Neural networks is one of the most popular machine learning …

Plant image identification has become an interdisciplinary focus in both botanical taxonomy
and computer vision. The first plant image dataset collected by mobile phone in natural …

Background Hundreds of herbarium collections have accumulated a valuable heritage and
knowledge of plants over several centuries. Recent initiatives started ambitious preservation …

Image-based plant phenotyping is a growing application area of computer vision in
agriculture. A key task is the segmentation of all individual leaves in images. Here we focus …

To improve the segmentation precision of overlapping crop leaves, this paper presents an
effective image segmentation method based on the Chan–Vese model and Sobel operator …

In this paper, we propose a novel method including segmentation, a combination of new and
well-known feature extraction and classification methods to classify plant leaves. The aim of …

Crop canopy temperature measurement is necessary for monitoring water stress indicators
such as the Crop Water Stress Index (CWSI). Water stress indicators are very useful for …

The segmentation of symptoms during image analysis of diseased plant leaves is an
essential process for detection and classification of diseases. However, there are challenges …

Plant plays an important role in agricultural, industrial, medicine, environmental and
ecological protection. Recently, with global warming, biodiversity loss, rapid urban …