Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images
出版年份 2019 全文链接
标题
Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images
作者
关键词
-
出版物
Frontiers in Plant Science
Volume 10, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2019-03-01
DOI
10.3389/fpls.2019.00209
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Aiming at decision making in plant disease protection and phenotyping by the use of optical sensors
- (2018) M. T. Kuska et al. EUROPEAN JOURNAL OF PLANT PATHOLOGY
- Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection
- (2018) Jan Behmann et al. SENSORS
- Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art
- (2018) A.-K. Mahlein et al. Annual Review of Phytopathology
- Using Support Vector Machines classification to differentiate spectral signatures of potato plants infected with Potato Virus Y
- (2018) L.M. Griffel et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective
- (2017) Stefan Thomas et al. Journal of Plant Diseases and Protection
- Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
- (2017) Amy Lowe et al. Plant Methods
- A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
- (2017) Alvaro Fuentes et al. SENSORS
- Agricultural robots for field operations: Concepts and components
- (2016) Avital Bechar et al. BIOSYSTEMS ENGINEERING
- Non-invasive Presymptomatic Detection of Cercospora beticola Infection and Identification of Early Metabolic Responses in Sugar Beet
- (2016) Nadja Arens et al. Frontiers in Plant Science
- Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification
- (2016) Srdjan Sladojevic et al. Computational Intelligence and Neuroscience
- Vector activity of three aphid species (Hemiptera: Aphididae) modulated by host plant selection behaviour on potato (Solanales: Solanaceae)
- (2016) Sébastien Boquel et al. ANNALES DE LA SOCIETE ENTOMOLOGIQUE DE FRANCE
- Calibration of hyperspectral close-range pushbroom cameras for plant phenotyping
- (2015) Jan Behmann et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Metro Maps of Plant Disease Dynamics—Automated Mining of Differences Using Hyperspectral Images
- (2015) Mirwaes Wahabzada et al. PLoS One
- Deep Learning-Based Classification of Hyperspectral Data
- (2014) Yushi Chen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Effect of mineral oil onPotato virus Yacquisition byRhopalosiphum padi
- (2013) Sébastien Boquel et al. ENTOMOLOGIA EXPERIMENTALIS ET APPLICATA
- Recent advances in sensing plant diseases for precision crop protection
- (2012) Anne-Katrin Mahlein et al. EUROPEAN JOURNAL OF PLANT PATHOLOGY
- Development of spectral indices for detecting and identifying plant diseases
- (2012) A.-K. Mahlein et al. REMOTE SENSING OF ENVIRONMENT
- Utility of Hyperspectral Data for Potato Late Blight Disease Detection
- (2011) Shibendu Shankar Ray et al. Journal of the Indian Society of Remote Sensing
- Top 10 plant viruses in molecular plant pathology
- (2011) KAREN-BETH G. SCHOLTHOF et al. MOLECULAR PLANT PATHOLOGY
- Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
- (2010) T. Rumpf et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A review of advanced techniques for detecting plant diseases
- (2010) Sindhuja Sankaran et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Aggressive and mild Potato virus Y isolates trigger different specific responses in susceptible potato plants
- (2010) P. Kogovšek et al. PLANT PATHOLOGY
- Detection of the tulip breaking virus (TBV) in tulips using optical sensors
- (2010) G. Polder et al. PRECISION AGRICULTURE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now