Enhanced corn seed disease classification: Leveraging MobileNetV2 with feature augmentation and transfer learning
M Alkanan, Y Gulzar - Frontiers in Applied Mathematics and Statistics, 2024 - frontiersin.org
In the era of advancing artificial intelligence (AI), its application in agriculture has become
increasingly pivotal. This study explores the integration of AI for the discriminative …
increasingly pivotal. This study explores the integration of AI for the discriminative …
[HTML][HTML] A deep learning approach for Maize Lethal Necrosis and Maize Streak Virus disease detection
Maize is an important crop cultivated in Sub-Saharan Africa, essential for food security.
However, its cultivation faces significant challenges due to debilitating diseases such as …
However, its cultivation faces significant challenges due to debilitating diseases such as …
[HTML][HTML] Two-Stage Detection Algorithm for Plum Leaf Disease and Severity Assessment Based on Deep Learning
C Yao, Z Yang, P Li, Y Liang, Y Fan, J Luo, C Jiang… - Agronomy, 2024 - mdpi.com
Crop diseases significantly impact crop yields, and promoting specialized control of crop
diseases is crucial for ensuring agricultural production stability. Disease identification …
diseases is crucial for ensuring agricultural production stability. Disease identification …
[PDF][PDF] Trends in Machine and Deep Learning Techniques for Plant Disease Identification: A Systematic Review
DC Rodríguez-Lira, DM Córdova-Esparza… - Agriculture, 2024 - researchgate.net
This review explores the use of machine learning (ML) techniques for detecting pests and
diseases in crops, which is a significant challenge in agriculture, leading to substantial yield …
diseases in crops, which is a significant challenge in agriculture, leading to substantial yield …
An optimal model for identification and classification of corn leaf disease using hybrid 3D-CNN and LSTM
C Ashwini, V Sellam - Biomedical Signal Processing and Control, 2024 - Elsevier
More than 30% of corn is produced by the United States, which is the world's leading corn
producer. The deficiency in the corn leaf may influence crop yield manufacturing. Moreover …
producer. The deficiency in the corn leaf may influence crop yield manufacturing. Moreover …
A robust and light-weight transfer learning-based architecture for accurate detection of leaf diseases across multiple plants using less amount of images
Leaf diseases are a global threat to crop production and food preservation. Detecting these
diseases is crucial for effective management. We introduce LeafDoc-Net, a robust …
diseases is crucial for effective management. We introduce LeafDoc-Net, a robust …
State-of-the-art Deep Learning Algorithms for Internet of Things-based Detection of Crop Pests and Diseases: A Comprehensive Review
JP Nyakuri, C Nkundineza, O Gatera… - IEEE …, 2024 - ieeexplore.ieee.org
Plant pest and disease management, especially in the early stages of infestation, is a critical
challenge that poses significant threats and has potential to devastate agricultural crops …
challenge that poses significant threats and has potential to devastate agricultural crops …
DenseNet201Plus: Cost-effective transfer-learning architecture for rapid leaf disease identification with attention mechanisms
Plant leaf diseases are a significant concern in agriculture due to their detrimental impact on
crop productivity and food security. Effective disease management depends on the early and …
crop productivity and food security. Effective disease management depends on the early and …
Maize Leaf Compound Disease Recognition Based on Attention Mechanism
P Dong, K Li, M Wang, F Li, W Guo, H Si - Agriculture, 2023 - mdpi.com
In addition to the conventional situation of detecting a single disease on a single leaf in corn
leaves, there is a complex phenomenon of multiple diseases overlapping on a single leaf …
leaves, there is a complex phenomenon of multiple diseases overlapping on a single leaf …
Advanced Deep Learning Models for Corn Leaf Disease Classification: A Field Study in Bangladesh
Agriculture is pivotal in Bangladesh, with maize being a central crop. However, leaf diseases
significantly threaten its productivity. This study introduces deep learning models for …
significantly threaten its productivity. This study introduces deep learning models for …