Crop-Disease-Detection-Using-Machine-Learning-and-Image-Processing. This project focuses on using machine learning and image processing techniques to detect and classify diseases in crops. By ...

Without early detection, these diseases spread rapidly, wiping out entire maize fields and severely impact food security. By creating an accurate image recognition model through machine learning, we ...

Cotton crop disease detection and classification based on images of leaves is a significant objective in agriculture. Cotton crops play a vital role in India. Every year, due to the attack of diseases ...

Recent technological advances are merging agricultural and machine learning techniques to help improve crop quality. The main objective of this work is to make use of machine learning approaches to ...

Business News: Chennai, Apr 6 (PTI) NEC Laboratories, an entity of NEC Corporation India, on Wednesday said it has signed a memorandum of understanding (MoU) with Ta ...

Azure Cognitive Services enters a new AI area. Fortunately, the first new cognitive service to explore other aspects of machine learning entered beta recently: adding anomaly detection to the ...

The machine-learning technology is contained in a 30 cm wide box that connects to a building's HVAC system. It raises or lowers temperatures based on data inputs such as weather forecasts, utility ...

Interested in understanding how AI and machine learning are being used to prevent bot-based fraud attempts, I attended a few recent webinars with Kount's 3 Key Elements Needed For Successful Bot ...

James Vincent is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. The lure of machine learning isn’t always about big new features; often, what it does best ...