The widespread use of Artificial Intelligence (AI) is quietly lessening interactive communication between humans, and rapidly turning the world automotive. These advancements facilitate rapid mass production and optimize supply chain management. The ultimate goal is to enhance end-customer satisfaction, which is a primary driver for an industry to thrive and lead in the global market. Robots and data processing mechanisms are the some of the best known leading high-end technologies that make use of Artificial Intelligence (AI) and Machine Learning (ML) for manufacturing, processing, and delivering qualitative and quantitative products with a minimal cost, labor, and time consumption. Today,... More >

In this study the disease detections in fruits and vegetables are identified by Machine Learning. The samples of vegetables and fruit leaves with abnormalities are taken into consideration in this inquiry. Farmers can quickly identify illnesses based on the early signs by using these disorder samples of these leaves. Fruit detection and category stays tough because of the texture, color, and form of various fruit categories. To enhance the quality of the vegetable and fruit leaf samples, they are first scaled to 256 by 256 pixels and then subjected to histogram equalization. For the purpose of dividing up dataspace into Polygon cells, the K-means clustering is introduced. Utilizing outline m... More >