Automated Grapevine Cultivar Identification via Leaf Imaging and Deep Convolutional Neural Networks: A Proof-of-Concept Study Employing Primary Iranian Varieties
出版年份 2021 全文链接
标题
Automated Grapevine Cultivar Identification via Leaf Imaging and Deep Convolutional Neural Networks: A Proof-of-Concept Study Employing Primary Iranian Varieties
作者
关键词
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出版物
Plants-Basel
Volume 10, Issue 8, Pages 1628
出版商
MDPI AG
发表日期
2021-08-09
DOI
10.3390/plants10081628
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Towards practical 2D grapevine bud detection with fully convolutional networks
- (2021) Wenceslao Villegas Marset et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Employment of artificial neural networks for non-invasive estimation of leaf water status using color features: a case study in Spathiphyllum wallisii
- (2021) Amin Taheri-Garavand et al. ACTA PHYSIOLOGIAE PLANTARUM
- Allometric Individual Leaf Area Estimation in Chrysanthemum
- (2021) Dimitrios Fanourakis et al. Agronomy-Basel
- Non‐invasive setup for grape maturation classification using deep learning
- (2020) Rodrigo P Ramos et al. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
- The Cypriot Indigenous Grapevine Germplasm Is a Multi-Clonal Varietal Mixture
- (2020) Apostolis Grigoriou et al. Plants-Basel
- Fine-Grained Image Classification for Crop Disease Based on Attention Mechanism
- (2020) Guofeng Yang et al. Frontiers in Plant Science
- Deep learning in agriculture: A survey
- (2018) Andreas Kamilaris et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automated grapevine cultivar classification based on machine learning using leaf morpho-colorimetry, fractal dimension and near-infrared spectroscopy parameters
- (2018) S. Fuentes et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Non-destructive estimation of the leaf weight and leaf area in cacao ( Theobroma cacao L.)
- (2018) Juan Carlos Suárez Salazar et al. SCIENTIA HORTICULTURAE
- Leaf area estimation by considering leaf dimensions in olive tree
- (2018) Georgios Koubouris et al. SCIENTIA HORTICULTURAE
- On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties
- (2018) Salvador Gutiérrez et al. Frontiers in Plant Science
- Detection of grapevine yellows symptoms in Vitis vinifera L. with artificial intelligence
- (2018) Albert Cruz et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
- (2017) Alvaro Fuentes et al. SENSORS
- Antitranspirant compounds alleviate the mild-desiccation-induced reduction of vase life in cut roses
- (2016) Dimitrios Fanourakis et al. POSTHARVEST BIOLOGY AND TECHNOLOGY
- A non-destructive method for estimating onion leaf area
- (2015) J.I. Córcoles et al. IRISH JOURNAL OF AGRICULTURAL AND FOOD RESEARCH
- The SSR-based molecular profile of 1005 grapevine (Vitis vinifera L.) accessions uncovers new synonymy and parentages, and reveals a large admixture amongst varieties of different geographic origin
- (2010) Guido Cipriani et al. THEORETICAL AND APPLIED GENETICS
- Modeling individual leaf area of ginger (Zingiber officinale Roscoe) using leaf length and width
- (2009) K. Kandiannan et al. SCIENTIA HORTICULTURAE
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