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 …
GoogLeNet based on residual network and attention mechanism identification of rice leaf diseases
L Yang, X Yu, S Zhang, H Long, H Zhang, S Xu… - … and Electronics in …, 2023 - Elsevier
Rice leaf diseases are a major cause of declining rice production and quality. The early
identification and control of rice leaf diseases is critical for maintaining rice quality and …
identification and control of rice leaf diseases is critical for maintaining rice quality and …
A comprehensive review on Plant Leaf Disease detection using Deep learning
Leaf disease is a common fatal disease for plants. Early diagnosis and detection is
necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting …
necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting …
A Hybrid Model for Leaf Diseases Classification Based on the Modified Deep Transfer Learning and Ensemble Approach for Agricultural AIoT‐Based Monitoring
M Saberi Anari - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
As possible diseases develop on plant leaves, classification is constantly hampered by
obstacles such as overfitting and low accuracy. To distinguish healthy products from …
obstacles such as overfitting and low accuracy. To distinguish healthy products from …
Advancing Agricultural Practices: Federated Learning-based CNN for Mango Leaf Disease Detection
This study offers a new method for identifying and categorizing mango leaf illnesses using a
Convolutional Neural Network (CNN) model based on federated learning. Diseases that …
Convolutional Neural Network (CNN) model based on federated learning. Diseases that …
ESDNN: A novel ensembled stack deep neural network for mango leaf disease classification and detection
The mango crop production and quality are affected by several factors. Plant disease is one
of the prime factors that impact crop yield. The disease impacts all parts of plants such as …
of the prime factors that impact crop yield. The disease impacts all parts of plants such as …
Hybridization of ResNet with YOLO classifier for automated paddy leaf disease recognition: An optimized model
G Ganesan, J Chinnappan - Journal of Field Robotics, 2022 - Wiley Online Library
Paddy is the most significant crop utilized by more than 2.6 billion people. The paddy crops
are affected by various diseases that are unidentified and reduced the production of crop …
are affected by various diseases that are unidentified and reduced the production of crop …
Advanced mango leaf disease detection and severity analysis with federated learning and cnn
Worldwide mango production is threatened by mango leaf diseases, resulting in
considerable financial losses. Effective illness management and reduction depend on early …
considerable financial losses. Effective illness management and reduction depend on early …
Enhancing Mango Fruit Disease Severity Assessment with CNN and SVM-Based Classification
The mango leaf powdery mildew disease poses a serious threat to mango production
society globally by significantly lowering yield and quality. For timely intervention and …
society globally by significantly lowering yield and quality. For timely intervention and …
Survey of lévy flight-based metaheuristics for optimization
J Li, Q An, H Lei, Q Deng, GG Wang - Mathematics, 2022 - mdpi.com
Lévy flight is a random walk mechanism which can make large jumps at local locations with
a high probability. The probability density distribution of Lévy flight was characterized by …
a high probability. The probability density distribution of Lévy flight was characterized by …