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

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...

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Detalles Bibliográficos
Autores principales: Md. Mansoor Roomi, S., Sathya Bama, B., Puvi Lakshmi, V., Vaishnavi, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319983/
https://www.ncbi.nlm.nih.gov/pubmed/37416095
http://dx.doi.org/10.1016/j.dib.2023.109321
Descripción
Sumario: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.