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Cclair, a real-world project, aimed to count flowers in orchards for better field management. Using a camera on a tractor, it captured positional and visual data. In Matlab, images were processed to estimate flower, branch, and leaf density. Clusterization rules categorized the data into three groups based on flower population.

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jorgekorgut/image-processing-cclair

Folders and files

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Flower_count

A school project, guided by a real company, whose main objective was to estimate the number of flowers inside an apple tree orchard. This project, written in matlab, contains imagery treatments techniques and statistics solutions for a real world problem.

Objective du projet

L’objectif du projet est de se mettre dans la peau d’un ingénieur, travaillant sur le projet Cclair, chargé de créer un outil permettant de connaître le nombre de fleurs de chaque pommier dans un verger en utilisant un système embarqué d’acquisition (SEA) pour tracteur.

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Methode automatique de detection de fleurs

Classification statistique en 3 differentes categories

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Cclair, a real-world project, aimed to count flowers in orchards for better field management. Using a camera on a tractor, it captured positional and visual data. In Matlab, images were processed to estimate flower, branch, and leaf density. Clusterization rules categorized the data into three groups based on flower population.

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