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

Abstract

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 in getting access to our dataset that would help them in their research and in developing some machine learning models.

Plant phenotyping relevance

バナナ植物の器官・品種・病害・カリウム欠乏を画像化した大規模データセットを提供しており、植物の状態推定に再利用できるデータ基盤が中心である。

Code and data availability

The paper is a data descriptor for the PSFD-Musa banana image dataset, publicly deposited on Mendeley Data with an explicit URL and DOI.