Kotwal Jameer, Kashyap Ramgopal, Pathan Mohd Shafi
Amity University Chhattisgarh, 493225, India.
MITSOC, MIT ADT University, 412201, India.
Data Brief. 2024 Feb 22;53:110216. doi: 10.1016/j.dib.2024.110216. eCollection 2024 Apr.
Intelligent agriculture heavily relies on the science of agricultural disease image recognition. India is also responsible for large production of French beans, accounting for 37.25% of total production. In India from south region of Maharashtra state this crop is cultivated thrice in year. Soyabean plant is planted between the months of June through July, during the months of October and September during the rabi season, as well as in February. In the Maharashtrian regions of Pune, Satara, Ahmednagar, Solapur, and Nashik, among others, Soyabean plant is a common crop. In Maharashtra, Soyabean plant is grown over an area of around 31,050 hectares. This research presents a dataset of leaves from soyabean plants that are both insect-damaged and healthy. Images were taken over the course of fewer than two to three seasons on several farms. There are 3363 photos altogether in the seven folders that make up the dataset. Six categories comprise the dataset: I) Healthy plants II) Vein Necrosis III) Dry leaf IV) Septoria brown spot V) Root images VI) Bacterial leaf blight. This study's goal is to give academics and students accessibility to our dataset so they may use it for their studies and to build machine learning models.
智能农业严重依赖于农业病害图像识别科学。印度也是法国豆的主要生产国，占总产量的37.25%。在印度马哈拉施特拉邦南部地区，这种作物一年种植三次。大豆植株在6月至7月间种植，在冬季作物季节的10月和9月间种植，以及在2月种植。在浦那、萨塔拉、艾哈迈德纳加尔、索拉布尔和纳西克等马哈拉施特拉邦地区，大豆植株是一种常见作物。在马哈拉施特拉邦，大豆种植面积约为31050公顷。这项研究展示了一个大豆植株叶片的数据集，包括受昆虫损害的和健康的叶片。这些图像是在不到两到三个季节的时间里在几个农场拍摄的。构成该数据集的七个文件夹中共有3363张照片。该数据集包括六个类别：I）健康植株II）叶脉坏死III）枯叶IV）Septoria褐斑V）根系图像VI）细菌性叶斑病。本研究的目的是让学者和学生能够获取我们的数据集，以便他们用于研究并构建机器学习模型。
