Highlights•An algorithm for identifying multiple plant diseases is proposed.•It is based on
image processing applied to conventional colour images.•It does not depend on any input or …

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 …

Background Automated species identification is a long term research subject. Contrary to
flowers and fruits, leaves are available throughout most of the year. Offering margin and …

A new computer algorithm is proposed to differentiate signs and symptoms of plant disease
from asymptomatic tissues in plant leaves. The simple algorithm manipulates the histograms …

In this paper, we propose a comparative study of various segmentation methods applied to
the extraction of tree leaves from natural images. This study follows the design of a mobile …

Segmenting the leaf images from the complex background is the current research topic. So,
in this paper, we propose an algorithm to segment the leaf image from the natural …

Plants are essential resources for nature and people's lives. Plant recognition provides
valuable information for plant research and development, and has great impact on …

Many digital image processing techniques applied to agricultural problems have as main
target the leaves of certain species of plants. The most basic task in such a context is to …

Plant leaf semantic segmentation technology is of great significance in monitoring and
analyzing plant growth conditions, disease occurrence, and physiological responses …

In this paper, we present a comparative study highlighting the improvements provided by pre-
processing tools, such as input stroke or use of distance map for segmentation approaches …