Efficacy of Deep Learning Algorithm in Classifying Chilli Plant Growth Stages

Automatic plant growth monitoring has received considerable attention in recent years. The demand this field created various opportunities, especially for automatic classification using deep learning methods. In paper, the efficiency of algorithms classifying stage chili plants is studied. Chili one high cash value crops, and identification stages essential crop productivity. Nevertheless, study on approaches not widely explored, due to unavailability public datasets stages. Various methods, namely Inception V3, ResNet50, VGG16, were used study, results have shown that these methods performed well terms accuracy stability when tested a dataset consists 2,320 images Capsicum annum 'Bird's Eye' imaging conditions. also difficulty with complex background where more than was captured an image.