An Image-Based Brinjal Dataset for Nitrogen Deficiency Detection and Chlorophyll-Based Quality Assessment in Bangladesh

Description The dataset consists of 393 images of brinjal (Solanum melongena L.) leaves, obtained from 50 plants that underwent two nitrogen treatments: nitrogen sufficient and nitrogen deficient. These images were obtained under various light conditions to enrich the dataset. This dataset is useful for nitrogen deficiency detection, nutrient stress analysis on the plant, computer vision, machine learning, deep learning, and precision agriculture. Potential Applications Nitrogen deficiency detection Nutrient stress analysis in plants Image classification in agriculture Computer vision Machine learning and deep learning Precision agriculture Plant phenotyping