Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A systematic review of different categories of plant disease detection using deep learning-based approaches
Artificial intelligence has a significant impact on all sectors. It is revolutionizing agriculture by
replacing traditional methods with more efficient techniques and hel** the world improve …
replacing traditional methods with more efficient techniques and hel** the world improve …
A lightweight attention-based convolutional neural networks for tomato leaf disease classification
Plant diseases pose a significant challenge for food production and safety. Therefore, it is
indispensable to correctly identify plant diseases for timely intervention to protect crops from …
indispensable to correctly identify plant diseases for timely intervention to protect crops from …
Efficient pneumonia detection using Vision Transformers on chest X-rays
Pneumonia is a widespread and acute respiratory infection that impacts people of all ages.
Early detection and treatment of pneumonia are essential for avoiding complications and …
Early detection and treatment of pneumonia are essential for avoiding complications and …
Deep learning-based identification of maize leaf diseases is improved by an attention mechanism: Self-attention
X Qian, C Zhang, L Chen, K Li - Frontiers in plant science, 2022 - frontiersin.org
Maize leaf diseases significantly reduce maize yield; therefore, monitoring and identifying
the diseases during the growing season are crucial. Some of the current studies are based …
the diseases during the growing season are crucial. Some of the current studies are based …
A tea buds counting method based on YOLOV5 and Kalman filter tracking algorithm
Y Li, R Ma, R Zhang, Y Cheng, C Dong - Plant Phenomics, 2023 - spj.science.org
The tea yield estimation provides information support for the harvest time and amount and
serves as a decision-making basis for farmer management and picking. However, the …
serves as a decision-making basis for farmer management and picking. However, the …
Leaf classification on Flavia dataset: a detailed review
For decades, vision scientists have contemplated the topic of plant species classification. As
plants are of great importance to medicinal research, they are utilized in a wide range of …
plants are of great importance to medicinal research, they are utilized in a wide range of …
[HTML][HTML] Deep transfer learning for fine-grained maize leaf disease classification
Abstract Machine learning (ML) can enhance agricultural yields by combating plant
diseases and climate change. However, traditional image processing techniques for disease …
diseases and climate change. However, traditional image processing techniques for disease …
Identifying plant disease and severity from leaves: A deep multitask learning framework using triple-branch Swin Transformer and deep supervision
Accurate identification of plant disease is of great significance for intelligent agriculture.
Currently, plant species, disease, and severity are considered as joint categories in most …
Currently, plant species, disease, and severity are considered as joint categories in most …
Transfer learning for versatile plant disease recognition with limited data
Deep learning has witnessed a significant improvement in recent years to recognize plant
diseases by observing their corresponding images. To have a decent performance, current …
diseases by observing their corresponding images. To have a decent performance, current …
[HTML][HTML] Yolov7-ma: Improved yolov7-based wheat head detection and counting
X Meng, C Li, J Li, X Li, F Guo, Z ** and small volumes of wheat heads on complex backgrounds, this …