An Effective Plant Recognition Method with Feature Recalibration of Multiple Pretrained CNN and Layers

D Zhou, X Ma, S Feng - Applied Sciences, 2023 - mdpi.com
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 …

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 …

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 …

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 …

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 …