… learning approach. To increase the accuracy in diagnosing different forms of tomato leaf
diseases, the deep learning-based model with transfer learning has been fine-tuned. The main …

… solving this task, where deep learning is becoming the preferred method due to the … transfer
learning of the deep convolutional neural networks for the identification of plant leaf diseases …

… -trained weights acquired from MS-COCO and performed transfer learning to fine-tune the
CenterNet on the PlantVillage dataset for plant leaf disease classification and classification. …

… proposed in this article, three sets of comparative experiments of different deep learning
methods, different transfer learning methods, and different models were carried out. …

… study the deep learning approach for solving the task since it has shown outstanding performance
in image processing and classification … Therefore, in this article, a novel deep learning …

… Deep Learning technology is a novel method that blends … various techniques for detecting
and classifying crop leaf disease. … that employs a variety of classifier techniques. There are two …

… (SVM), Random Forest (RF), LR, and Naive Bayes (NB), that are often used in deep
learning methodologies to evaluate these pretrained CNNs networks. Table 7 illustrates the …

… color of plant leaf images. Prior research has employed machine learning methods such as
… In this work, we introduce a novel framework called ‘ZeroShot Transfer Learning’ to address …

… pre-trained deep learning models, for the accurate diagnosis of different plant leaf diseases
in real … They presented a novel algorithm to show the qualitative, quantitative, and automatic …

… proposes a novel efficient pipeline for tomato leaf disease classification based on … deep
learning models is presented to detect and diagnose these threatening tomato leaf diseases in …