Enhancing Chickpea Disease Detection Using Hybrid Deep Learning Models

For sustainable farming methods and maximum crop yield, early and precise identification of plant diseases is essential. A major agricultural crop, chickpeas (Cicer arietinum) are extremely prone to a number of bacterial, viral, and fungal diseases that significantly lower quality and productivity. In order to effectively extract and classify features, this study suggests a hybrid deep learning model that combines the advantages of Convolutional Neural Networks (CNNs) and Recurrent Neural Networ