Leaf disease recognition using image processing techniques is currently a hot research
topic. High disease recognition accuracies have been reported in literature particularly in …

This paper proposes an efficient method to extract the leaf region and count the number of
leaves in digital plant images. The plant image analysis plays a significant role in viable and …

Speeding up the collection and integration of raw botanical observation data is a crucial step
towards a sustainable development of agriculture and the conservation of biodiversity …

The LifeCLEFs plant identication task provides a testbed for a system-oriented evaluation of
plant identication about 500 species trees and herbaceous plants. Seven types of image …

Plant phenoty** investigates how a plant's genome, interacting with the environment,
affects the observable traits of a plant (phenome). It is becoming increasingly important in …

Using multimedia identification tools is considered as one of the most promising solutions to
help bridging the taxonomic gap and build accurate knowledge of the identity, the …

With the aim of elaborating a mobile application, accessible to anyone and with educational
purposes, we present a method for tree species identification that relies on dedicated …

In this paper we introduce a new multiscale shape-based approach for leaf image retrieval.
The leaf is represented by local descriptors associated with margin sample points. Within …

Recognition and segmentation of plant organs like leaves is one of the major challenges in
digital plant phenoty**. Here we present a 3-D histogram-based segmentation and …

The LifeCLEF plant identification challenge aims at evaluating plant identification methods
and systems at a very large scale, close to the conditions of a real-world biodiversity …