Development of a robotic detection system for greenhouse pepper plant diseases
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Development of a robotic detection system for greenhouse pepper plant diseases
Authors
Keywords
Disease detection, Multispectral imagery, RGB imagery, <em class=EmphasisTypeItalic >Tomato spotted wilt virus</em>, Powdery mildew
Journal
PRECISION AGRICULTURE
Volume 18, Issue 3, Pages 394-409
Publisher
Springer Nature
Online
2017-02-07
DOI
10.1007/s11119-017-9503-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Integration of perception capabilities in gripper design using graspability maps
- (2016) Danny Eizicovits et al. BIOSYSTEMS ENGINEERING
- Innovations in air sampling to detect plant pathogens
- (2015) J.S. West et al. ANNALS OF APPLIED BIOLOGY
- Automatic detection of powdery mildew on grapevine leaves by image analysis: Optimal view-angle range to increase the sensitivity
- (2014) Roberto Oberti et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Loss of Function in Mlo Orthologs Reduces Susceptibility of Pepper and Tomato to Powdery Mildew Disease Caused by Leveillula taurica
- (2013) Zheng Zheng et al. PLoS One
- Digital image processing techniques for detecting, quantifying and classifying plant diseases
- (2013) Jayme Garcia Arnal Barbedo SpringerPlus
- Development of spectral indices for detecting and identifying plant diseases
- (2012) A.-K. Mahlein et al. REMOTE SENSING OF ENVIRONMENT
- Intelligent multi-sensor system for the detection and treatment of fungal diseases in arable crops
- (2011) D. Moshou et al. BIOSYSTEMS ENGINEERING
- The potential of automatic methods of classification to identify leaf diseases from multispectral images
- (2011) Sabine D. Bauer et al. PRECISION AGRICULTURE
- Sensing technologies for precision specialty crop production
- (2010) W.S. Lee et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- 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
- Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging
- (2010) C. H. Bock et al. CRITICAL REVIEWS IN PLANT SCIENCES
- Thermographic assessment of scab disease on apple leaves
- (2010) E.-C. Oerke et al. PRECISION AGRICULTURE
- Geostatistical Analysis of the Spatiotemporal Dynamics of Powdery Mildew and Leaf Rust in Wheat
- (2009) Jonas Franke et al. PHYTOPATHOLOGY
- Neue Ansätze zur frühzeitigen Erkennung und Lokalisierung von Zuckerrübenkrankheiten
- (2008) Christian Hillnhütter et al. Gesunde Pflanzen
- Detection of powdery mildew in grapevine using remotely sensed UV‐induced fluorescence
- (2008) M.‐C. Bélanger et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd 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