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2009, HAL (Le Centre pour la Communication Scientifique Directe)
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Species identification is a major constraint for biodiversity conservation. Conventional identification tools are usually difficult to use for non specialists, mainly because they require important botanical knowledge during the identification process. For this reason, we developed a graphical identification approach that resulted in the IDAO (IDentification Assistée par Ordinateur) software. Through simple clicks on vector drawings, the user selects morphological (shape, size, position, color and texture of organs) or ecological characters corresponding to the plant he/she wants to identify, thus building a sort of "identikit" for the species. The software compares this set to all those available in its database with a simple matching coefficient, and provides a probable identification. At any time during the process, the user may consult species description files. Missing information is tolerated, and users can thus access to an identification result without needing to use all characters in the set. Numerous illustrations are present in each species description file in order to facilitate identification. This graphic multi-entry identification system has been adapted to various floras (weeds, trees, orchids) around the world (West Africa, India, Cambodia, etc.), for weed control or biodiversity conservation. It is accessible on-line on Internet (http://umramap.cirad.fr/amap2/logiciels_amap/index.php?page=idao), or available on CD-ROM. Current developments for the new version of this identification tool will include (i) a free open version, which will allow adaptation of the graphic interface by users according to their own flora, (ii) generalisation of the use of open drawing format (SVG: Scalable Vector Graphics), (iii) the extension of this approach to new characters (such as anatomical characters of the wood), and floras (such as paddy fields weeds).
2013 International Conference on Computing, Management and Telecommunications (ComManTel), 2013
Human pressure on the environment has steadily increased throughout the last few decades, especially in Southeast Asia. This part of the world is also particularly rich in biodiversity and an appropriate biological knowledge is in high demand by the civil society which is actually asking for a "greener" life and the questions of quality of life are rising more and more. Unfortunately, plants recognition/identification skills of people in these countries are still limited. However, this skill can be improved with the aid of information technology. Recently, a number of works have been dedicated to plant information collection, plant information management and plant recognition. However, the developed systems are far from user requirement. In this paper, we present our computer aided plant identification system. The developed system contains two main parts: a semi-automatic graphical tool and an automatic plant identification method based on leaf images. Feedbacks from end users for graphical tool show that this tool does not have disadvantage of the classical tools (too technical, not sufficiently precise) while the experimental results of automatic plant identification method based on leaf image analysis are promising.
Computers & Education, 2010
Journal of Agricultural Informatics, 2012
In an attempt to make identification of plants easy and less cumbersome, computer-based software called Leasys was developed. It is a computerized version of a field key prepared for on-the-spot identification of savanna tree species in Nigeria. Leasys 1.1 is an improved version of the earlier version developed by the same authors. The current version is more expansive than the first version and thus has more features which make identification process faster and easier. Incorporated in Leasys 1.1 are some other features that make it more robust, flexible and versatile. These features include Leasys Property Registration which makes identification of a plant along two selection paths possible, Leasys Plant Management which inserts, updates and deletes plant data from the database, Leasys Deduction System whicht enables the user identify a plant by inputting a leaf feature and Leasys Quick Search which brings about fast identification of plant without going through the step by step process of identification. It is also possible to print one or all results generated. Leasys has a database on two hundred (200) different savanna trees. The system has the potential and capacity to accommodate very large number of species and very large number of taxonomic characters. With the implementation of a specialized algorithm based on the SQL OLEDB engine, AND operator professional reporting system, impressive nature GUI's network compatibility and an enhanced interaction level, Leasys has the great potengtial for progressive upgrading.
2022
Herbarium specimens are dried plants mounted to paper. They are used by a limited number of researchers, such as plant taxonomists, as a source of information on morphology and distribution. Recently, digitised herbarium specimens have begun to be used in comprehensive research to address broader issues. However, some specimens have been misidentified, and if used, there is a risk of drawing incorrect conclusions. In this study, we successfully developed a system for identifying species names with high accuracy using an image recognition system. We developed a system with an accuracy of 96.4% using 500,554 specimen images of 2,171 plant species in 192 families that grow in Japan. It is clarified where AI is looking and make decisions, and which species is mistaken for which species. As the system can be applied to digitalised images worldwide, it should be useful for selecting and correcting misidentified herbarium specimens.
In an attempt to make identification of plants easy and less cumbersome, computer-based software called Leasys was developed. It is a computerized version of a field key prepared for on-the-spot identification of savanna tree species in Nigeria. Leasys 1.1 is an improved version of the earlier version developed by the same authors. The current version is more expansive than the first version and thus has more features which make identification process faster and easier. Incorporated in Leasys 1.1 are some other features that make it more robust, flexible and versatile. These features include Leasys Property Registration which makes identification of a plant along two selection paths possible, Leasys Plant Management which inserts, updates and deletes plant data from the database, Leasys Deduction System whicht enables the user identify a plant by inputting a leaf feature and Leasys Quick Search which brings about fast identification of plant without going through the step by step pr...
Lecture Notes in Computer Science, 2008
We describe a working computer vision system that aids in the identification of plant species. A user photographs an isolated leaf on a blank background, and the system extracts the leaf shape and matches it to the shape of leaves of known species. In a few seconds, the system displays the top matching species, along with textual descriptions and additional images. This system is currently in use by botanists at the Smithsonian Institution National Museum of Natural History. The primary contributions of this paper are: a description of a working computer vision system and its user interface for an important new application area; the introduction of three new datasets containing thousands of single leaf images, each labeled by species and verified by botanists at the US National Herbarium; recognition results for two of the three leaf datasets; and descriptions throughout of practical lessons learned in constructing this system.
Παιδαγωγική Επιθεώρηση, 2023
Από τη δεκαετία του 1970, όταν εμφανίστηκε για πρώτη φορά στην Αμερική ο όρος σεξουαλική παρενόχληση η προσοχή των ακαδημαϊκών και του κοινού στο συγκεκριμένο φαινόμενο έχει αυξομειωθεί ανά περιόδους βάσει ορισμέ- νων ιστορικών και κοινωνικοπολιτικών γεγονότων. Στη διεθνή βιβλιογραφία το φαινόμενο διακρίνεται σε τρεις μορφές, παρενόχληση βάση φύλου, η οποία σύμφωνα με τις έρευνες αποτελεί το συχνότερο είδος, ανεπιθύμητη σεξουα- λική προσοχή και σεξουαλικός εξαναγκασμός. Ο ιδιαίτερος χαρακτήρας του φαινομένου της σεξουαλικής παρενόχλησης συνοψίζεται στον σχολιασμό της φεμινίστριας νομικού Catharine MacKinnon σύμφωνα με την οποία, ελλείψει όρου ικανού να την περιγράψει, η σεξουαλική παρενόχληση μέχρι το 1979 κυ- ριολεκτικά δεν αρθρωνόταν από τις γυναίκες, γεγονός που καθιστούσε αδύ- νατη τη σύνταξη ενός γενικού, κοινού και κοινωνικού ορισμού (McLaughlin et al., 2017).
2024
Zahriye, bir el yazmasının metin başlamadan hemen önceki -1a- sayfasıdır. Bu sayfa, kitabın adı ve yazarı gibi önemli bilgilerin yanı sıra kültürel ve tarihsel açıdan kritik çeşitli kayıtları da içerir. Zahriye sayfalarındaki bilgilerden yola çıkılarak hazırlanan bir takım araştırmalar olsa da zahriye sayfalarını merkeze alan ayrı bir çalışma bulunmamaktadır. Bu araştırmanın amacı, zahriye sayfalarını merkeze alarak kuyûdât bakımından bir tipoloji ortaya çıkarmak, zahriye sayfasında hangi kayıtların yer aldığı ve bu sayfalardaki mekân kullanımı konusunda bir mutabakat olup olmadığı sorularına cevap bulmaktır. Bu sorulara cevap bulmak için Süleymaniye Yazma Eser Kütüphanesi'nde bulunan şir Efendi Koleksiyonu seçilmiştir. Şeyhülislam şir Efendi tarafından 18. yüzyılda kurulan bir kütüphane koleksiyonuna ait olan bu yazmalar, özellikle ulema kitaplarının zahriyelerine dair bir örnek sunmaktadır. Araştırmanın bulgularına göre, zahriye üzerindeki kuyûdâtı eser/metin, nüsha/yazma ve okuyucu hakkında notlar olarak sınıflandırmak mümkün olmuştur. Böylece Osmanlı ulemasının hangi tür notları ya da kayıtları yazma eserlerin zahriye sayfalarına düşme eğiliminde olduklarını görebildik. Ayrıca bu notları kaydederken sayfa üzerinde tercih edilen yerleri de tespit etmek mümkün oldu. Elde edilen sonuçlar, Osmanlı zihniyetinde bu sayfadaki mekânın kullanımı konusunda bir mutabakat olduğunu düşündürdü. Sonuç olarak bu çalışma, zahriye sayfasının tipolojisini ve kültür tarihi açısından potansiyelini ortaya koyarak zahriyelerin daha derinlemesine anlaşılmasını sağlamıştır.
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