Bishal17/plant_care

一个精选的计算机视觉数据集，用于**自动检测和分类花椰菜叶病害**，专为农业和植物病理学应用中的深度学习模型训练和评估而设计。该数据集适用于**图像分类、目标检测和迁移学习**工作流程，并以**YOLO兼容格式**提供。花椰菜作物极易受到各种真菌病害、虫害和营养缺乏的影响，这些因素会显著影响产量和质量。该数据集旨在支持精准农业中AI驱动的病害检测系统的研究和开发。

A curated computer vision dataset for **automatic detection and classification of cauliflower leaf diseases**, designed for training and evaluating deep learning models in agricultural and plant pathology applications. This dataset is suitable for **image classification, object detection, and transfer learning** workflows and is provided in **YOLO-compatible format**. Cauliflower crops are highly susceptible to various fungal diseases, insect infestations, and nutrient deficiencies, which significantly impact yield and quality. This dataset aims to support research and development of AI-driven disease detection systems for precision agriculture.