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 …
Adaptability of deep learning: datasets and strategies in fruit classification
This review aims to uncover the multifaceted landscape of methodologies employed by
researchers for accurate fruit classification. The exploration encompasses an array of …
researchers for accurate fruit classification. The exploration encompasses an array of …
Oil yield prediction for sunflower hybrid selection using different machine learning algorithms
S Cvejić, O Hrnjaković, M Jocković, A Kupusinac… - Scientific Reports, 2023 - nature.com
Due to the increased demand for sunflower production, its breeding assignment is the
intensification of the development of highly productive oil seed hybrids to satisfy the edible …
intensification of the development of highly productive oil seed hybrids to satisfy the edible …
[PDF][PDF] Enhanced transfer learning strategies for effective kidney tumor classification with CT imaging
Kidney tumours (KTs) rank seventh in global tumour prevalence among both males and
females, posing a significant health challenge worldwide. Early detection of KT plays a …
females, posing a significant health challenge worldwide. Early detection of KT plays a …
Hyperspectral classification of frost damage stress in tomato plants based on few-shot learning
S Ruan, H Cang, H Chen, T Yan, F Tan, Y Zhang… - Agronomy, 2023 - mdpi.com
Early detection and diagnosis of crop anomalies is crucial for enhancing crop yield and
quality. Recently, the combination of machine learning and deep learning with hyperspectral …
quality. Recently, the combination of machine learning and deep learning with hyperspectral …
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 …
YOLO v7-CS: A YOLO v7-based model for lightweight bayberry target detection count
S Li, T Tao, Y Zhang, M Li, H Qu - Agronomy, 2023 - mdpi.com
In order to estimate bayberry yield, a lightweight bayberry target detection count model,
YOLOv7-CS, based on YOLOv7, was proposed to address the issues of slow detection and …
YOLOv7-CS, based on YOLOv7, was proposed to address the issues of slow detection and …
Least square-support vector machine based brain tumor classification system with multi model texture features
Radiologists confront formidable challenges when confronted with the intricate task of
classifying brain tumors through the analysis of MRI images. Our forthcoming manuscript …
classifying brain tumors through the analysis of MRI images. Our forthcoming manuscript …
[PDF][PDF] Using ensemble learning and advanced data mining techniques to improve the diagnosis of chronic kidney disease
Kidney failure is a condition with far-reaching, potentially life-threatening consequences on
the human body. Leveraging the power of machine learning and data mining, this research …
the human body. Leveraging the power of machine learning and data mining, this research …
A transfer learning-based deep convolutional neural network for detection of fusarium wilt in banana crops
K Yan, MKC Shisher, Y Sun - AgriEngineering, 2023 - mdpi.com
During the 1950s, the Gros Michel species of bananas were nearly wiped out by the
incurable Fusarium Wilt, also known as Panama Disease. Originating in Southeast Asia …
incurable Fusarium Wilt, also known as Panama Disease. Originating in Southeast Asia …