AdvenAlg, a software to help with the identification and a knowledge of the main crop weeds in Mediterranean Algeria

Kazi Tani Choukry, Grard Pierre, Le Bourgeois Thomas. 2024. AdvenAlg, a software to help with the identification and a knowledge of the main crop weeds in Mediterranean Algeria. Agriculture and Forestry Journal, 8 (1) : 7-11.

https://doi.org/10.46325/afj.v8i1.159

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Url - éditeur : https://journals.univ-tlemcen.dz/AFJ/index.php/AFJ/article/view/159

Résumé : Access to AdvenAlg is via the URL address: www.wikwio.org/alg/ which currently allows the identification of 125 important species of algerian weeds in field crops. They are divided according to their noxiousness into 15 agronomically major species, 20 secondary species, and 90 minor species. This modern computer-assisted identification (CAI) method allows simple and precise identification of plant species based on illustrated characters (and not described by botanical jargon as is the case with classic dichotomous keys), therefore in a graphic manner, by creating a composite portrait of the plant. Emphasis is placed on vegetative characters to enable recognition of incomplete samples. A composite portrait of the plant is created using a process allowing the free choice of characters, error management, the absence of technical terminology and self-correction. At any time, it is possible to access macro photographs and descriptive texts and print them. The AdvenAlg database, available in French or English, will be gradually updated with other species of crop weeds from the same phytogeographic region. All AdvenAlg species sheets can also be consulted on the Wiktrop collaborative portal dedicated to the sharing and dissemination of knowledge on weeds in tropical and Mediterranean crops: http://portal.wiktrop.org.

Mots-clés Agrovoc : mauvaise herbe, identification, composition botanique, logiciel, système de culture, désherbage, agroécologie, désherbage mécanique, banque de données

Mots-clés géographiques Agrovoc : Algérie

Mots-clés libres : Adventice, Weed, Identification, Algérie, Logiciel

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