Hasan Mahamudul, Gani Raiyan, Rashid Mohammad Rifat Ahmmad, Kamara Raka, Tarin Taslima Khan, Rabbi Sheikh Fajlay
Department of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
Data Brief. 2024 Oct 15;57:111023. doi: 10.1016/j.dib.2024.111023. eCollection 2024 Dec.
Agriculture greatly impacts Bangladesh's economy, and vegetable cultivation plays a significant role in Agriculture by providing nourishment, and food security as well as improving the economy. The necessity of food production is growing similarly to the population growth. The farmers of Bangladesh are working hard to meet this need for food production and to gain yields. However, every year the farmers face a significant amount of loss in production due to the attack of different diseases and viruses due to the lack to technological development. The reason behind most of these losses is the lack of knowledge about diseases and being unable to detect the diseases early. Therefore, the early detection of plant disease is significant in balancing the country's economy and preventing undesirable losses. To bring a solution to this problem our dataset provides a total of 4467 images of Beans and Cowpeas leaf images which include different disease classes and fresh leaves. The dataset comprises 2,273 images of Bean and 2,194 images of Cowpea plants where each plant provides 4 classes of different disease along with the healthy leaves. This dataset will assist researchers in identifying plant diseases and farmers as well as contribute to the economy of the country.
农业对孟加拉国的经济有着重大影响，蔬菜种植在农业中发挥着重要作用，它不仅提供营养、保障粮食安全，还能促进经济发展。粮食生产的需求与人口增长同步增加。孟加拉国的农民们正在努力满足粮食生产需求并提高产量。然而，由于技术发展不足，每年农民都会因不同疾病和病毒的侵袭而遭受大量生产损失。这些损失大多是由于对疾病缺乏了解且无法早期发现疾病所致。因此，早期发现植物病害对于平衡国家经济和防止不必要的损失具有重要意义。为了解决这个问题，我们的数据集提供了总共4467张豆类和豇豆叶片图像，其中包括不同的病害类别和新鲜叶片。该数据集包含2273张豆类图像和2194张豇豆植株图像，每株植物除了健康叶片外还提供4种不同病害类别。这个数据集将帮助研究人员识别植物病害，也有助于农民，同时为国家经济做出贡献。
