Plant leaf disease detection by deep learning algorithm

The disease identification using machine learning algorithms is a promising approach for improving plant health and crop yield, and has the potential to revolutionize the agricultural industry. Leaf disease identification by machine learning algorithms is a promising field in plant pathology and precision agriculture leading to better crop yields and increased sustainability in agriculture. In Deep learning based EfficientnetB3 model for various plants leaves. Leaf disease identification by machine learning algorithms involves the use of advanced computational method to automatically identify and classify various types of plant diseases based on the symptoms observed on their leaves. The machine learning algorithms in leaf disease identification offers several advantages over traditional methods improved accuracy, speed, and scalability than the manual inspection to reduce the time-consuming and error-prone, especially in large agricultural fields.