Plant species identification using computer vision techniques: a systematic literature review

J Wäldchen, P Mäder - Archives of computational methods in engineering, 2018 - Springer
Species knowledge is essential for protecting biodiversity. The identification of plants by
conventional keys is complex, time consuming, and due to the use of specific botanical …

Leaf classification on Flavia dataset: a detailed review

SU Ahmed, J Shuja, MA Tahir - Sustainable Computing: Informatics and …, 2023 - Elsevier
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 …

Urban plants classification using deep-learning methodology: a case study on a new dataset

M Litvak, S Divekar, I Rabaev - Signals, 2022 - mdpi.com
Plant classification requires the eye of an expert in botanics when the subtle differences in
stem or petals differentiate between different species. Hence, an accurate automatic plant …

A review on robust computational approaches based identification and authentication of herbal raw drugs

PA Singh, N Bajwa, S Naman… - Letters in Drug Design & …, 2020 - ingentaconnect.com
Background: Over the last decade, there has been a sudden rise in the demand for herbal
as well as Information and Technology (IT) industry around the world. Identification of plant …

Enhanced “GrabCut” tool with blob analysis in segmentation of blooming flower images

WN Tan, T Sunday, YF Tan - 2013 10th International …, 2013 - ieeexplore.ieee.org
This paper discusses the enhancement using blob analysis applied to automatic
segmentation of “GrabCut” tool [1] for segmenting blooming flowers in color images. The …

Efecto de aluminio y pH sobre el desarrollo y pigmentación floral de Hydrangea macrophylla mediante redes neuronales artificiales

MJ Ibañez-Barboza, M Livera-Muñoz… - Revista fitotecnia …, 2023 - scielo.org.mx
En hortensia (Hydrangea macrophylla), el color de las inflorescencias cambia con su
desarrollo y efecto de diversos factores. En esta investigación se determinó el efecto de dos …

Artificial Intelligence in Wildlife Forensics

GK Singh, S Saini, N Kaur, S Shukla - Artificial Intelligence in …, 2024 - taylorfrancis.com
Wildlife forensics is an emerging field of criminal investigation in which wild animals are the
victims. The major goals of wildlife forensics are in the examination, identification, and …

A generic algorithm for segmenting a specified region of interest based on Chanvese's algorithm and active contours

P Agrawal, G Ojha, M Bhattacharya - Artificial Intelligence and Evolutionary …, 2016 - Springer
Image processing and recognition is a modern field which is gaining popularity due to its
capability to automate certain mundane object recognition tasks and provide unparalleled …

[PDF][PDF] Urban Plants Classification Using Deep-Learning Methodology: A Case Study on a New Dataset. Signals 2022, 3, 524–534

M Litvak, S Divekar, I Rabaev - 2022 - academia.edu
Plant classification requires the eye of an expert in botanics when the subtle differences in
stem or petals differentiate between different species. Hence, an accurate automatic plant …

[PDF][PDF] Plant Species Classification Using Deep Learning

T Bhaghavathi, D Kavinraj, S Praveen, MN Sarmiladevi… - ijmrset.com
Plant species classification plays a pivotal role in various fields, including agriculture,
ecology, and biodiversity conservation. Traditional methods for identifying plant species rely …