Biskra Date Palm Leaf Image Dataset for Pest and Disease Detection in Arid and Semi-Arid Regions of Algeria

This dataset presents a collection of 2,951 images of date palm leaves collected in Biskra, Algeria, an important date palm-producing region characterized by arid climatic conditions. The dataset was developed to support research on the detection and classification of date palm pests and diseases using computer vision, machine learning, and deep learning techniques. The dataset contains three classes: Healthy Date Palm Leaves (1,000 images), White Cochineal infestation associated with Parlatoria blanchardi (1,000 images), and Brown Leaf Spot (951 images). The dataset is particularly relevant to research on date palm health monitoring, plant disease and pest detection, precision agriculture, smart farming, and artificial intelligence applications in arid and semi-arid regions. Its geographic focus on Biskra provides locally relevant data for developing and evaluating automated image-based methods under conditions representative of North African date palm production. The dataset can be used for image classification, object detection, disease and pest recognition, computer vision benchmarking, and the development of AI-assisted agricultural diagnostic systems. It may also support comparative studies involving date palm cultivation and plant health in arid and semi-arid environments. Researchers, agricultural institutions, and organizations working on date palm production, plant protection, agricultural engineering, computer vision, and artificial intelligence may benefit from this dataset.