The aim of creating JMuBEN dataset is to add to the limited availability of Arabica leaf images that are available online. This dataset will help researchers to be able to test the accuracy of their
The Cauliflower Leaf Disease Dataset is a curated collection of high-quality images designed for machine learning and deep learning applications in plant disease detection. The dataset comprises 2,661
Early and accurate detection of plant diseases is vital for sustainable agriculture and optimizing crop yields. This dataset, titled the Pisum sativum Image Dataset, presents collection of images spec
High-quality images of soybean leaf are required to solve soybean disease and healthy leaves classification and recognition problems. To build the machine learning models, deep learning models with ne
