PSDataSet

<b>Plant Stress Phenotyping Dataset</b> Dataset Description Overview This dataset is an extensive compilation designed for advancing the research in crop stress identification. It comprises a meticulously curated collection of 9,900 high-quality images and an additional 11,923 images that have been augmented to enrich the diversity of the dataset. The images encompass a range of biotic and abiotic stress factors affecting crop health.<b>Biotic Stress Categories</b> The biotic stress factors are categorized into the following types, with a total of 71 distinct features:Bacteria: 14 features Viral: 17 features Fungal: 16 features Weeds: 12 features Pests: 12 features<b>Abiotic Stress Categories</b> The dataset also includes 7 abiotic stress categories that capture environmental and climatic challenges crops face:Salt Stress Nutrition Stress Drought Stress Flooding Stress Cold Stress Heat Stress Climate Stress<b>Quality Control</b> This ensures that the dataset serves as a robust resource for accurate and effective model training.This dataset is tailored for those who are delving into the realm of precision agriculture, specifically focusing on identifying various stress factors in crops through image analysis. It offers a rich source of data for training machine learning models to recognize and classify a spectrum of biotic and abiotic stresses in agriculture.