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Data · dataset · 2022

FlowerNet: An extensive rose leaves dataset for disease recognition applying machine learning and deep learning models

Listed in Teesside University Research Data Repository

(1) Plant diseases are the leading cause of decreased agricultural output, which leads to economic losses.

Description

Rose is known as both the "Queen of Flowers" and the "King of Flowers." This implies that it possesses both kingliness (magnificence, status, and power) and queenliness (beauty, grace, and cultural refinement). Rose illnesses, on the other hand, have a detrimental effect on rose production.

(2) Computer vision and image processing have a big influence on detecting numerous illnesses in flowering plants. (3) The collection comprises images of diseased Rose leaves as well as disease-free Rose leaves, which may be used to construct an automated method for researchers to forecast illnesses in Rose Flowers. The dataset includes two Rose diseases: black spot and downy mildew.

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Aside from the disease-free leaves, the dataset also includes them. (4) This section includes two types of datasets: the original dataset (a total of 917 photos) and the augmented dataset (a total of 4342 images). Each picture has a generalized dimension of 512*512 pixels.

(5) The photos were personally taken from the Village of Roses (Golap Gram), Sadullapur Road Birulia Bridge, Dhaka 1216, Bangladesh, with the assistance of domain specialists and a plant study institute.

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Catalogue records · 1

Topics

From keywords
Computer Science & AI · Computer vision · Deep learning · Earth & Environmental Science · Engineering · Humanities · Image processing · Life Sciences · Machine learning · Social Science
Inferred from text
Disease 75% · Image 75%
Provenance · 1 source records, 17 field assertions
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