… There are numerous types of tomato diseases that target the crop’s leaf at an alarming rate.
… neural network model called LeNet to detect and identify diseases in tomato leaves. The …

… It will thus help them cure the plant’s disease in timely … tomato leaves dataset from
plantvillage [8]. After downloading the dataset, we have developed a Convolution Neural Network …

… and identification of tomato leaf diseases using convolutional neural network (CNN) …
and use feature extraction and parameter-tuning to identify and classify tomato leaf diseases…

… Neural Network (CNN) based models ie GoogLeNet and VGG16 for tomato leaf disease …
solution to the problem of tomato leaf disease detection using a deep learning approach. …

… , financial prediction, fraud detection, and Agriculture (Bedi … use of deep learning for
automatic plant disease recognition. … to address the issue of plant diseases detection. The main …

… the identification of tomato leaf diseases. In this paper we have proposed an automatic system
for leaf disease identification in tomato leaves using Deep Convolutional Neural Network (…

… It is an activation function used for multiclass-classification since our system classifies five
different kinds of tomato leaves disease. Hence, it is used in a logistic regression model. The …

… of tomato plant leaf diseases used in this research. The dataset is obtained from Kaggle and
can be accessed through … By using the Google Collab IDE, the installation of the Kaggle API …

… neural networks, will allow the design of systems capable of early disease detection for tomato
plants. The … This research presents a deep convolutional neural network and an attention …

… The detection of tomato leaf disease accurately, fast and reliable with the use of Convolution
Neural Network (… field for yield detection and automated harvesting[4]. A state-of-art in object …