Internet of Things and wireless sensor networks for smart agriculture applications: A survey
The increasing food scarcity necessitates sustainable agriculture achieved through
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …
[HTML][HTML] Small models, big impact: A review on the power of lightweight Federated Learning
Abstract Federated Learning (FL) enhances Artificial Intelligence (AI) applications by
enabling individual devices to collaboratively learn shared models without uploading local …
enabling individual devices to collaboratively learn shared models without uploading local …
[HTML][HTML] Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques
Rice is an essential food crop that is cultivated in many countries. Rice leaf diseases can
cause significant damage to crop cultivation, leading to reduced yields and economic …
cause significant damage to crop cultivation, leading to reduced yields and economic …
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 …
[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 …
Tomato brown rot disease detection using improved YOLOv5 with attention mechanism
J Liu, X Wang, Q Zhu, W Miao - Frontiers in Plant Science, 2023 - frontiersin.org
Brown rot disease poses a severe threat to tomato plants, resulting in reduced yields.
Therefore, the accurate and efficient detection of tomato brown rot disease through deep …
Therefore, the accurate and efficient detection of tomato brown rot disease through deep …
Enhancing rice leaf disease classification: a customized convolutional neural network approach
In modern agriculture, correctly identifying rice leaf diseases is crucial for maintaining crop
health and promoting sustainable food production. This study presents a detailed …
health and promoting sustainable food production. This study presents a detailed …
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 …
[HTML][HTML] Enhancing Panax notoginseng Leaf Disease Classification with Inception-SSNet and Image Generation via Improved Diffusion Model
R Wang, X Zhang, Q Yang, L Lei, J Liang, L Yang - Agronomy, 2024 - mdpi.com
The rapid and accurate classification of Panax notoginseng leaf diseases is vital for timely
disease control and reducing economic losses. Recently, image classification algorithms …
disease control and reducing economic losses. Recently, image classification algorithms …
Intelligent leaf disease diagnosis: image algorithms using Swin Transformer and federated learning
H Zhang, G Ren - The Visual Computer, 2024 - Springer
In recent years, the international population has surged which has led to increased pressure
on food security. Plant diseases are one of the most essential factors affecting food security …
on food security. Plant diseases are one of the most essential factors affecting food security …