Hyperspectral dataset of pure and pesticide-coated apples for measuring the level of fertilizers used

S Md Mansoor Roomi; B Sathya Bama; V Puvi Lakshmi; M Vaishnavi

doi:10.1016/j.dib.2023.109321

Hyperspectral dataset of pure and pesticide-coated apples for measuring the level of fertilizers used

Data Brief. 2023 Jun 16:49:109321. doi: 10.1016/j.dib.2023.109321. eCollection 2023 Aug.

Authors

S Md Mansoor Roomi¹, B Sathya Bama¹, V Puvi Lakshmi¹, M Vaishnavi¹

Affiliation

¹ Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai-625015.

Abstract

This dataset provides three classes of hyperspectral images: pure, insecticide-immersed, and fungicide-immersed apples with different concentrations of fertilizers. The hyperspectral images were calibrated under white and dark correction and enhanced using contrast enhancement. In order to know the variations in the level of fertilizers used, we soaked the apples in 2 different concentrations of chemicals i.e., 1ml or 1g of fertilizer in 1 liter of water as low concentration, and 3ml or 3g of fertilizer in 1 liter of water as high concentration. The proposed dataset will help in finding the consumption level of fertilizers (pesticides) in apples.

Keywords: Apple; Hyperspectral Imaging; Near Infrared; Quality Inspection; fertilizer.