[HTML][HTML] Sustainable ecotourism through cutting-edge technologies
Tourism is a phenomenon that dates back to ancient times. Ancient Greek philosophers
recognised, adopted, and promoted the concept of rest-based tourism. Ecotourism is a …
recognised, adopted, and promoted the concept of rest-based tourism. Ecotourism is a …
Leveraging positive-unlabeled learning for enhanced black spot accident identification on Greek road networks
Identifying accidents in road black spots is crucial for improving road safety. Traditional
methodologies, although insightful, often struggle with the complexities of imbalanced …
methodologies, although insightful, often struggle with the complexities of imbalanced …
An Effective Plant Recognition Method with Feature Recalibration of Multiple Pretrained CNN and Layers
Current existing methods are either not very discriminative or too complex. In this work, an
effective and very simple plant recognition method is proposed. The main innovations of our …
effective and very simple plant recognition method is proposed. The main innovations of our …
Deep learning regression approaches applied to estimate tillering in tropical forages using mobile phone images
We assessed the performance of Convolutional Neural Network (CNN)-based approaches
using mobile phone images to estimate regrowth density in tropical forages. We generated a …
using mobile phone images to estimate regrowth density in tropical forages. We generated a …
Image Recognition of Plants and Plant Diseases with Transfer Learning and Feature Compression
M Ziȩba, K Przewłoka, M Grela, K Szkoła… - … on Computational Science, 2023 - Springer
This article introduces an easy to implement kick-starting method for transfer learning of
image recognition models, meant specifically for training with limited computational …
image recognition models, meant specifically for training with limited computational …
Exploring the Capability of NASNet Model for Plant Classification on GRASP-125 Dataset
BR Pushpa, MH Kumar, NS Rani - 2023 4th International …, 2023 - ieeexplore.ieee.org
Plant classification and identification, which has strong ties to both computer science and
taxonomy, is becoming an increasingly dynamic area of research within the field of computer …
taxonomy, is becoming an increasingly dynamic area of research within the field of computer …
FTIDB: a new flue-cured tobacco leaf image database
S Li, C Guo, X Zhang, H Zhen… - … and Computer Science …, 2023 - spiedigitallibrary.org
The classification and grading of flue-cured tobacco leaf is an essential step in tobacco
production. In order to carry out relevant research, a new flue-cured tobacco leaf image …
production. In order to carry out relevant research, a new flue-cured tobacco leaf image …
A Non-Destructive Method for Identification of Plants in Gentiana Based on Deep Learning
R Ding, C Wang, X Huang, R Gu, S Zhong - papers.ssrn.com
Medicinal plant cultivar identification typically involves time-consuming methods such as
spectroscopy, chromatography, and genetic engineering. In this study, a transfer learning …
spectroscopy, chromatography, and genetic engineering. In this study, a transfer learning …
[PDF][PDF] Image Recognition of Plants and Plant Diseases with Transfer Learning and Feature Compression
M Kuta - iccs-meeting.org
This article introduces an easy to implement kick-starting method for transfer learning of
image recognition models, meant specifically for training with limited computational …
image recognition models, meant specifically for training with limited computational …