Crop Disease Detection using TensorFlow

Many techniques based on machine learning and artificial intelligence have been developed recently to identify agricultural diseases

Farmers and academics may use artificial intelligence to create novel approaches to crop disease detection by using the Intel Developer Cloud

In the field of artificial intelligence and machine learning, performance optimization is often essential to producing effective and dependable outcomes

A set of optimizations designed to improve the way TensorFlow-based applications run on Intel architectures are available via the Intel TensorFlow library

Intel processors which are designed to optimally utilize the underlying hardware capabilities was one of the main driving forces for its adoption

An open-source performance library for deep learning applications is called OneDNN, or OneAPI Deep Neural Network Library

They used Intel TensorFlow library in my leaf disease detection project, which increased efficiency and efficacy