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

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

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

Transfer Learning-based Areca Nut (Areca catechu) Disease Detection using CNN and SVM Approaches with ResNet-50 for Improved Deep Learning Performance

Vit-CNN Fusion for Robust Mango Quality Evaluation based on Classification Across Multiple Public Datasets

Diagnosis of Major Foliar Diseases in Black gram (Vigna mungo L.) using Convolution Neural Network (CNN) 

Fixed-adaptive Temporal Attention Network for Predicting Crop Yield

​Behavior Recognition of Group-ranched Cattle from Video Sequences using Deep Learning

Detection and Classification of Soybean Wilting Across Progressive Stages using Convolutional Neural Network Method