Information on weed distribution within the field is necessary to implement spatially variable herbicide application. This paper deals with the development of near-ground image capture and processing techniques in order to detect broad leaf weeds in cereal crops, under actual field conditions. The proposed methods use both colour and shape analysis techniques for discriminating crop, weeds and ...

We present a content-based image retrieval system for plant image retrieval, intended especially for the house plant identification problem. A plant image consists of a collection of overlapping leaves and possibly flowers, which makes the problem challenging. We studied the suitability of various wellknown color, shape and texture features for this problem, as well as introducing some new text...

during last two decades studies on endozoochorous seed dispersal indicated that a large numbers of plant seeds are potentially dispersed and suceefully germinated via animal dung. however, very little is known about the relative importance of endozoochory in germination success of plant species in semi-steppe rangelands. in this paper we examined dung germinating seed content, seed deposition p...

Aim Geomorphological processes profoundly affect plant establishment and distributions, but their influence on functional traits is insufficiently understood. Here, we unveil trait–geomorphology relationships in Arctic communities. Location High-Arctic Svalbard, low-Arctic Greenland sub-Arctic Fennoscandia. Time period 2011–2018. Major taxa studied Vascular plants. Methods We collected field-qu...

The efficient and robust statistical analysis of the shape of plant cultivars is an important investigation issue in fields such as plant breeding or growth monitoring. A quantitative shape analysis based on concepts from continuum mechanics is proposed to compute shape averages and a principal component analysis for a given set of tuber root shapes. The underlying model uses an implicit repres...