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Title

PSFD-Musa: A dataset of banana plant, stem, fruit, leaf, and disease

Authors

Author links open overlay panel Epsita Medhi Nabamita Deb

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PSFD-Musa: A dataset of banana plant, stem, fruit, leaf, and disease

Source

Data in Brief (sciencedirect.com)

URL

https://www.sciencedirect.com/science/article/pii/S2352340922006242

Date

2022-06-28

Description

Abstract

In recent times, the classification and identification of different fruits and food crops have become a necessity in the field of agricultural scienceā€¦

Keywords


Body

In recent times, the classification and identification of different fruits and food crops have become a necessity in the field of agricultural science; for sustainable growth. Probable processes have been developed worldwide to improve the production of food crops. Problem-specific, clean and crisp datasets are also lagging in the sector. This article introduces an image dataset of varieties of banana plants and the diseases related to them. The varieties of Banana plants that we have considered in the dataset are the Malbhog (Musa assamica), Jahaji (Musa chinensis), Kachkol (Musa paradisiaca L.), Bhimkol (M. Balbisiana Colla). And the diseases and pathogens that we have considered here are the Bacterial Soft Rot, Banana Fruit Scarring Beetle, Black Sigatoka, Yellow Sigatoka, Panama disease, Banana Aphids, and Pseudo-Stem Weevil. A dataset of Potassium deficiency has been also considered in this article. A total of 8000+ processed images are present in the dataset. The purpose of this article is to provide the Researchers and Students get access to our dataset that would help them in their research and in developing some machine learning models.