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

doi:10.1016/j.dib.2023.109516

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

Data Brief. 2023 Aug 23:50:109516. doi: 10.1016/j.dib.2023.109516. eCollection 2023 Oct.

Authors

Md Moradul Siddique¹, Torikul Islam², Yeasir Arefin Tusher¹, Romana Rahman Ema¹, Md Nasim Adnan¹, Syed Md Galib¹

Affiliations

¹ Department of Computer Science and Engineering, Jashore University of Science and Technology, Jashore 7408, Bangladesh.
² Institute of Information Technology, University of Dhaka, Dhaka 1217, Bangladesh.

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.

Keywords: Fertilizer recommendation system; LCC automation; LCC color recognition; LCC dataset; Leaf color chart; Nitrogen recommendation; Paddy leaves; PaddyNet.