Leaves: India’s Most Famous Basil Plant Leaves Quality Dataset

Basil/Tulsi Plant is harvested in India because of some spiritual facts behind this plant,this plant is used for essential oil and pharmaceutical purpose. There are two types of Basil plants cultivated in India as Krushna Tulsi/Black Tulsi and Ram Tulsi/Green Tulsi.Many of the investigator working on disease detection in Basil leaves where the following diseases occur 1) Gray Mold 2) Basal Root Rot, Damping Off 3) Fusarium Wilt and Crown Rot4) Leaf Spot5) Downy MildewThe Quality parameters (Healthy/Diseased) and also classification based on the texture and color of leaves. For the object detection purpose researcher using an algorithm like Yolo, TensorFlow, OpenCV, deep learning, CNNI had collected a dataset from the region Amravati, Pune, Nagpur Maharashtra state the format of the images is in .jpg.

罗勒（Basil/Tulsi）在印度因其承载的精神文化内涵而被广泛种植采收，该植物可用于精油提取与医药研发领域。印度境内种植的罗勒主要分为两个品种：克里希纳罗勒（Krushna Tulsi/黑罗勒Black Tulsi）与拉姆罗勒（Ram Tulsi/绿罗勒Green Tulsi）。目前诸多针对罗勒叶片病害检测的研究中，所涉及的病害类型主要包括：1) 灰霉病（Gray Mold）；2) 基腐病、猝倒病（Basal Root Rot, Damping Off）；3) 镰刀菌枯萎病与冠腐病（Fusarium Wilt and Crown Rot）；4) 叶斑病（Leaf Spot）；5) 霜霉病（Downy Mildew）。该数据集的标注维度涵盖叶片健康/病害状态，同时支持基于叶片纹理与色泽的分类任务。针对目标检测任务，研究人员采用了YOLO、TensorFlow、OpenCV、深度学习（Deep Learning）、卷积神经网络（Convolutional Neural Network, CNN）等算法模型。本数据集采集自印度马哈拉施特拉邦的阿姆拉瓦蒂、浦那、那格浦尔地区，所有图像均以JPEG（.jpg）格式存储。