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 …
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 …