Bitter Gourd (Ampalaya) Leaf Dataset for NPK Deficiency Detection || Lipa City Philippines

This dataset contains leaf images of bitter gourd (Ampalaya, Momordica charantia L.) collected for the detection and classification of soil nutrient deficiencies using computer vision and deep learning techniques. The dataset was developed to support research on identifying Nitrogen (N), Phosphorus (P), and Potassium (K) deficiencies through visual symptoms observed on bitter gourd leaves.Images were obtained from two sources:Internet-sourced images gathered from publicly available agricultural and plant pathology resources.Locally captured images collected from bitter gourd plants under field conditions.All images were validated by the Department of Agriculture Region IV-A to ensure that the visual symptoms correspond to the correct nutrient deficiency classes.The dataset includes four classes:Healthy – leaves showing normal growth and colorationNitrogen (N) Deficiency – characterized by yellowing leaves, reduced leaf size, and stunted growthPhosphorus (P) Deficiency – characterized by darkened leaves, deformation, and necrotic spotsPotassium (K) Deficiency – characterized by scorched or burned leaf edges and marginal chlorosisThe dataset was designed for training and evaluating machine learning and deep learning models, particularly convolutional neural networks (CNNs), for automated nutrient deficiency detection in crops.Dataset CompositionClassFrom Internet From LocalTotalHealthy8072941,101Nitrogen (N) Deficiency1,0375181,555Phosphorus (P) Deficiency0506506Potassium (K) Deficiency5665161,082Total2,4101,8344,244Total Images: 4,244Intended UseThis dataset is intended for:Plant disease and nutrient deficiency detection researchTraining and benchmarking deep learning models for agricultural applicationsComputer vision studies in precision agricultureDevelopment of AI-assisted crop monitoring systemsThe dataset was used in research integrating Convolutional Neural Networks (CNN) and IoT-based soil nutrient sensing to support automated nutrient deficiency monitoring for bitter gourd cultivation.Keywords:Bitter gourd, Ampalaya, Momordica charantia, NPK deficiency, Nitrogen deficiency, Phosphorus deficiency, Potassium deficiency, Plant nutrient detection, Computer vision in agriculture, Deep learning dataset, Precision agriculture.