A Review on Deep Learning Techniques for Detecting Plant Leaf Diseases

A major hazard to world agriculture, plant diseases have an impact on agricultural output, food security, and economic stability. Deep learning (DL) advancements have provided automated and scalable solutions, revolutionizing the early detection, diagnosis, and prediction of plant diseases. An in-depth investigation of the data info, the types of methods that were ever utilized in the detection of plant disease has been mentioned in this report. It accumulates different types of techniques based on pictures and usage of deep learning algorithms. This analysis focuses on the issues of implementation and uncertain of data. This study also indicates how the Internet of Things and deep learning has been considered for the purpose of detecting disease. The final evaluation of this study is to be a guidance for futuristic RD to effective management of crops and maintaining sustainability in agriculture. There are two keywords which has been used for this study and they are deep learning methods and plant diseases.