Paddynet: An organized dataset of paddy leaves for a smart fertilizer recommendation system.

Md Moradul Siddique, Torikul Islam, Yeasir Arefin Tusher, Romana Rahman Ema, Md Nasim Adnan, Syed Md Galib

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Article in Data in brief, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed

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2 citing papers in PubMed.

An India soyabean dataset for identification and classification of diseases using computer-vision algorithms.Data in brief · 2024
Article
Paddynet: An organized dataset of paddy leaves for a smart fertilizer recommendation system.Data in brief · 2023
Article

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5 · Who and what money

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6 authors.

Md Moradul SiddiqueDepartment of Computer Science and Engineering, Jashore University of Science and Technology, Jashore 7408, Bangladesh.

Torikul IslamInstitute of Information Technology, University of Dhaka, Dhaka 1217, Bangladesh.

Yeasir Arefin TusherDepartment of Computer Science and Engineering, Jashore University of Science and Technology, Jashore 7408, Bangladesh.

Romana Rahman EmaDepartment of Computer Science and Engineering, Jashore University of Science and Technology, Jashore 7408, Bangladesh.

Md Nasim AdnanDepartment of Computer Science and Engineering, Jashore University of Science and Technology, Jashore 7408, Bangladesh.

Syed Md GalibDepartment of Computer Science and Engineering, Jashore University of Science and Technology, Jashore 7408, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dataset of Leaf Color Chart (PaddyNet) is publicly unavailable. As far as the author's knowledge, this is the first dataset about paddy leaves based on LCC. This dataset has been generated by collecting images from a particular location such as Sajiali, Dogachia and Shyamnagar at Jashore, Bangladesh. This dataset contains 4 categories of Aman paddy leaves. The leaf images were captured by smart phones. There are 560 images of Aman paddy leaves. The data collection procedure was carried out according to the guidelines of Bangladesh Agricultural Research Institute (BARI). We meticulously categorized the entire dataset with regard to the LCC level and validated the data with the assistance of domain specialists. Hence, the images are analyzed and categorized with standards. The dataset is utilized for recognizing Leaf Color Chart level which will help of farmers recommending nitrogen fertilizer in their paddy fields.

Indexed as

Fertilizer recommendation systemLCC automationLCC color recognitionLCC datasetLeaf color chartNitrogen recommendationPaddy leavesPaddyNet

Identifiers

PMID37674508

DOI10.1016/j.dib.2023.109516

PMCPMC10477451

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