Plant disease detection and classification by deep learning—a review
L Li, S Zhang, B Wang - IEEE Access, 2021 - ieeexplore.ieee.org
Deep learning is a branch of artificial intelligence. In recent years, with the advantages of
automatic learning and feature extraction, it has been widely concerned by academic and …
automatic learning and feature extraction, it has been widely concerned by academic and …
Convolutional neural networks in detection of plant leaf diseases: A review
Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …
recognize objects from images. DL approaches have recently entered various agricultural …
Plant disease identification using a novel convolutional neural network
The timely identification of plant diseases prevents the negative impact on crops.
Convolutional neural network, particularly deep learning is used widely in machine vision …
Convolutional neural network, particularly deep learning is used widely in machine vision …
[Retracted] Hybrid Feature‐Based Disease Detection in Plant Leaf Using Convolutional Neural Network, Bayesian Optimized SVM, and Random Forest Classifier
AK Singh, SVN Sreenivasu, U Mahalaxmi… - Journal of Food …, 2022 - Wiley Online Library
Plant diseases are unfavourable factors that cause a significant decrease in the quality and
quantity of crops. Experienced biologists or farmers often observe plants with the naked eye …
quantity of crops. Experienced biologists or farmers often observe plants with the naked eye …
Banana plant disease classification using hybrid convolutional neural network
KL Narayanan, RS Krishnan… - Computational …, 2022 - Wiley Online Library
Banana cultivation is one of the main agricultural elements in India, while the common
problem of cultivation is that the crop has been influenced by several diseases, while the …
problem of cultivation is that the crop has been influenced by several diseases, while the …
An approach for characterization of infected area in tomato leaf disease based on deep learning and object detection technique
Tomato leaf infections are a common threat to long-term tomato production that affects many
farmers worldwide. Early detection, treatment, and solution of tomato leaf specificity are …
farmers worldwide. Early detection, treatment, and solution of tomato leaf specificity are …
LEMOXINET: Lite ensemble MobileNetV2 and Xception models to predict plant disease
Plant diseases play a significant role in agricultural production, in which early detection of
plant diseases is deemed an essential task. Current computational intelligence and …
plant diseases is deemed an essential task. Current computational intelligence and …
Quantum Behaved Particle Swarm Optimization‐Based Deep Transfer Learning Model for Sugarcane Leaf Disease Detection and Classification
T Tamilvizhi, R Surendran… - Mathematical …, 2022 - Wiley Online Library
Plant diseases pose a major challenge in the agricultural sector, which affects plant
development and crop productivity. Sugarcane farming is a highly organized part of farming …
development and crop productivity. Sugarcane farming is a highly organized part of farming …
[HTML][HTML] A real-time application-based convolutional neural network approach for tomato leaf disease classification
Early diagnosis and treatment of tomato leaf diseases increase a plant's production volume,
efficiency, and quality. Misdiagnosis of disease by farmers can lead to an inadequate …
efficiency, and quality. Misdiagnosis of disease by farmers can lead to an inadequate …
Leaf species and disease classification using multiscale parallel deep CNN architecture
NS Russel, A Selvaraj - Neural Computing and Applications, 2022 - Springer
Plant species are often affected by conquering biotic strains and for sustainable yield more
emphasis can be on the novel mitigation measures rather than traditional methods. Plant …
emphasis can be on the novel mitigation measures rather than traditional methods. Plant …