The dataset consists of hyperspectral images of various apples. They are divided into three categories: 1."fresh" - images of apple directly bought from the market 2."low concentration" - images of apples immersed in fungicide/insecticide solution at low concentration level i.e 1g or 1ml of fertilizer in 1 liter water and 3."high concentration" - images of apples immersed in fungicide/insecticide solution at low concentration level i.e 3g or 3ml of fertilizer in 1 liter water and The hyperspectral images are saved by default in .bil format which is the native format. The entire dataset is classified in three folders.1.Apple_Samples,2.Fungicide_Apple,3.Insecticide_Apple Apple_Samples folder consist of two folders, monostar and nativo. "Monostar" is further classified into four folders which sums up to a total of 207 images. "Nativo" consists of three folders which as a total of 73 images. Fungicide_Apple consist of 162 images and is divided into three category i.e. fresh apples, apples immersed in low concentration solution and apples immersed in high concentration solution. The fungicide used for this experiment is NATIVO. Similarly, Insecticide_Apple consist of 175 images and is also divided into three category i.e. fresh apples, apples immersed in low concentration solution and apples immersed in high concentration solution. The insecticide used for this experiment is MONOSTAR. This dataset consists of few images of the apples in .BIL format.