[HTML][HTML] Lightweight federated learning for rice leaf disease classification using non independent and identically distributed images
Rice (Oryza sativa L.) is a vital food source all over the world, contributing 15% of the protein
and 21% of the energy intake per person in Asia, where most rice is produced and …
and 21% of the energy intake per person in Asia, where most rice is produced and …
[HTML][HTML] Federated transfer learning for rice-leaf disease classification across multiclient cross-silo datasets
Paddy leaf diseases encompass a range of ailments affecting rice plants' leaves, arising
from factors like bacteria, fungi, viruses, and environmental stress. Precision agriculture …
from factors like bacteria, fungi, viruses, and environmental stress. Precision agriculture …
Lesion-aware visual transformer network for Paddy diseases detection in precision agriculture
Precision agriculture, driven by advancements in sensing technologies and data analytics,
offers promising solutions for addressing challenges in paddy disease management. Paddy …
offers promising solutions for addressing challenges in paddy disease management. Paddy …
Futuristic Technologies in Agriculture Challenges and Future Prospects
Futuristic technologies are transforming the agricultural landscape, enabling farmers to
optimize crop yields, reduce environmental impact, and improve the efficiency of their …
optimize crop yields, reduce environmental impact, and improve the efficiency of their …
[HTML][HTML] DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes
Rice stands as a crucial staple food globally, with its enduring sustainability hinging on the
prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have …
prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have …
[HTML][HTML] A machine learning and deep learning-based integrated multi-omics technique for leukemia prediction
In recent years, scientific data on cancer has expanded, providing potential for a better
understanding of malignancies and improved tailored care. Advances in Artificial …
understanding of malignancies and improved tailored care. Advances in Artificial …
Exploring classification of rice leaf diseases using machine learning and deep learning
Rice is third most commonly grain in the world. Some farmers chose rice cultivation over
other crops because of rice's wide range of habitat adaptability and minor agriculture threat …
other crops because of rice's wide range of habitat adaptability and minor agriculture threat …
Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification
Correct identification of tumor in brain images is critical for treatment. In the medical domain,
class distributions of recorded data could differ with locations and require high levels of …
class distributions of recorded data could differ with locations and require high levels of …
Deep Learning based Models for Paddy Disease Identification and Classification: A Systematic Survey
M Tasfe, AKM Nivrito, F Al Machot, M Ullah… - IEEE Access, 2024 - ieeexplore.ieee.org
Automated early detection and classification of paddy diseases help in applying treatment
efficiently according to the detected diseases. Early detection also minimises the usage of …
efficiently according to the detected diseases. Early detection also minimises the usage of …
[HTML][HTML] RiPa-Net: recognition of rice paddy diseases with duo-layers of CNNs fostered by feature transformation and selection
O Attallah - Biomimetics, 2023 - mdpi.com
Rice paddy diseases significantly reduce the quantity and quality of crops, so it is essential
to recognize them quickly and accurately for prevention and control. Deep learning (DL) …
to recognize them quickly and accurately for prevention and control. Deep learning (DL) …