Search Results for author:
Found 5 papers, 0 papers with code
Accurate and Efficient Urban Street Tree Inventory with Deep Learning on Mobile Phone Imagery
By enhancing the accuracy and efficiency of tree inventory, our model empowers urban management to mitigate the adverse effects of deforestation and climate change.
Early and Accurate Detection of Tomato Leaf Diseases Using TomFormer
TomFormer performed well on the KUTomaDATA, PlantDoc, and PlantVillage datasets, with mean average accuracy (mAP) scores of 87%, 81%, and 83%, respectively.
Tomato Maturity Recognition with Convolutional Transformers
In this paper, the authors propose a novel method for tomato maturity classification using a convolutional transformer.
Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens
The process of testing an image for disease diagnosis and classification using AWS DeepLens on average took 0. 349s, providing disease information to the user in less than a second.
Computer Vision For COVID-19 Control: A Survey
The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an immense threat to the human population.
