Leaf Monitor, a new mobile tool backed by artificial intelligence and predictive modeling, could revolutionize how farmers ...

In a development that could help protect one of the world's most beloved agricultural commodities, a research team at Penn ...

Abstract: Heart-disease is one of the leading cause of death around the world, precaution is only if early detection. This research focuses on the development of a heart disease prediction system ...

Abstract: Agriculture is the backbone of every nation's economy. With the global population steadily increasing, meeting the rising demand for food has become a major challenge. In India, crop ...

Abstract: Potato crops are vital to global food security, but they are susceptible to several diseases that hinder growth and yield. Traditional methods of detecting these diseases rely on ...

Abstract: An electrocardiogram (ECG) is a foundational tool for diagnosing cardiovascular diseases. However, the assessment of ECG data often depends on the subjective expertise of medical ...

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Abstract: Advanced optical network technologies, proposed to fulfil the projected demands of future communication networks, are riddled with numerous challenges. Conventional methods for addressing ...

Abstract: Plant diseases are becoming more common, which is a serious danger to the world's food security. Manual examination is a common component of traditional illness detection procedures, which ...

This project aims to develop a method for detecting plant diseases using CNNs by analyzing leaf images.The CNNs are proficient in handling large datasets and can dynamically learn new features from ...

This project is an AI-powered plant disease prediction tool utilizing Convolutional Neural Networks (CNN). It is specialized for identifying diseases in maize, potato, tomato, and rice crops, helping ...