8 天前 - … techniques, convolutional neural networks (CNNs) and … to the specificities of
tomato plant diseases. The insights … advancements in early disease detection and predictive …

10 天前 - … tomato growth because they still use manual methods and have limited knowledge
in detecting diseases on tomato leaves. … -tuning Convolutional Neural Network (CNN) using …

13 天前 - … Therefore, it is crucial for real-time, accurate and timely disease diagnosis at early
stages to improve crop management practices and thereby mitigate possible economic losses…

16 天前 - … rate, and it has high recall value, accuracy, and F1 value; Compared with the latest
convolutional neural network disease recognition models, improved AlexNet model model …

19 天前 - … The use of a neural network to identify plant disease is … the leaf type as Potato leaf
instead of Tomato leaf. Overall, … object detection model to utilize for plant disease detection. …

19 天前 - … This approach achieved a recognition rate of 97.5%, … the problems that most
convolutional neural network models … neural network based tomato disease image recognition …

21 天前 - … -based Convolutional Neural Network (CNN) model for detecting tomato plant
diseases. … model and incorporates two dense neural network layers to accurately distinguish …

22 天前 - … recognition in images [6]. In this study, the CNN algorithm served as a learning tool
to identify diseases in tomato plants, utilizing leaf … realm of crop disease detection research [9…

23 天前 - … neural network (CNN) approaches has significantly assisted plant disease diagnosis,
… On the other hand, the number of unhealthy leaf images collected is often unbalanced, …

25 天前 - … This application uses a convolutional neural network (… Convolutional Neural Networks
(CNNs), a type of deep … for plant disease detection in three key crops: potato, tomato, and …