Pest and Disease Identification in Paddy by Symptomatic Assessment of The Leaf using Hybrid CNN-LSTM Algorithm

The crop damage is caused by various types of pests that feed on the leaf, stem, roots or entire part plants and also fungal, bacterial viral infections. In most cases, diseases are transmitted from one plant to another vectors. act as vectors in spreading It necessary identify disease incidence pest infestation early stages itself contains its spread before it causes any plants. Several machine deep learning approaches involved rice identification. preceding works Long Short-Term Memory (LSTM) CNN algorithms respectively were used identification classification affects paddy. Here, a Hybrid CNN-LSTM method applied for using symptoms exhibited paddy leaves. accuracy 97.8% proves superiority this over existing methods.