Deep Hybrid Learning for Smart Agriculture using CNN-based Feature Extraction and LSTM-BiLSTM Sequence Modeling for Robust Plant Disease Detection

Crop Yield Prediction using Deep Learning Algorithm based on CNN-LSTM with Attention Layer and Skip Connection

Wheat Yield Modelling using Infocrop and DSSAT Crop Simulation Models

Agricultural Commodity Price Prediction using Long Short-Term Memory (LSTM) based Neural Networks

Analytical Evaluation of CNN and Capsulenet Architectures for Grape Leaf Disease Prediction

Soybean Leaf Disease Identification Through Smart Detection using Machine Learning-convolutional Neural Network Model

Performance Analysis of Various Deep Transfer Learning Models for Bacterial Blight Disease Detection and Classification in Pomegranate Fruits