Spectral reflectance data of plant green

Author(s)

Kamal Alameh, Edith Cowan UniversityFollow

Document Type

Dataset

Publisher

Edith Cowan University Research Online

Faculty

Faculty of Computing Health and Science

School or Research Centre

Centre for MicroPhotonic Systems Electron Science Research Institute

Funders

Australian Research Council

ECU Industry Collaboration Schemes

Description

The dataset contains spectral reflectance data of various crop plants and weeds. The data has been collected in the field using a spectrometer, from farm locations in Queensland and Western Australia. The dataset contains the spectral reflectance characteristics of various crop plants and weeds including sugarcane, cotton, wheat, skeleton weeds, guinea and Johnson grasses, which were monitored at different plant development stages in Gingin, Western Australia and Toowoomba and Bundaberg, Queensland. The data is categorised by time of year collected, plant name, weed name, farm and place. At this stage the dataset contains spectral reflectance data of more than 10 different plants, collected since 2008, however the dataset is growing. Data is stored in Excel file format.

Additional Information

Access to the dataset is subject to legal and commercial restrictions. Photonic Detection Systems is the commerical partner. Contact Professor Kamal Alameh of the Electron Science Research Institute at Edith Cowan University to determine access conditions.

Other participants in the research are Sreten Askraba (Senior Research Fellow, ESRI) and Arie Paap (Post Doctoral Research Fellow, ESRI).

Research Activity Title

Laser-based photonic weed sensor

Research Activity Description

The aim of the project is to develop a microphotonic weed sensor engine to capture and analyse spectral data for accurate discrimination and detection of weeds and crops. The result would enable better agricultural weed eradication based on the unique properties of the green of weeds when compared to the green of the agricultural crop. Funding was provided via two ARC Linkage grants to improve the sensor device. Other funding sources have been ECU Industry Collaboration schemes. The project commenced in 2008 and is continuing.

Start of data collection time period

1-1-2008

Research Project Links

Electron Science Research Institute - http://esri.ecu.edu.au/

Related Publications

Sahba, K. , Askraba, S. , & Alameh, K. (2007). Photonics-based Spectral Reflectance Sensor for Plant Discrimination. Proceedings of COIN-ACOFT 2007. (pp. Wec2-2). Melbourne, Australia. Engineers Australia and Australian Optical Society. Retrieved from http://ro.ecu.edu.au/ecuworks/1407/

Original article available here

Sahba, K., Askraba, S., & Alameh, K. E. (2006). Non-contact laser spectroscopy for plant discrimination in terrestrial crop spraying. Optics express, 14(25), 12485-12493.Non-contact Laser Spectroscopy for Plant Discrimination in Terrestrial Crop Spraying. Retrieved from http://ro.ecu.edu.au/ecuworks/2118/

Original publication available here

Alameh, K., Askraba, S., Paap, A., Rowe, J., Shen, Y., & Yan, H. (2010). Novel photonic sensor engine for discrimination and detection of weeds and crops. Physics, 39(10), pp. 705-712. Retrieved from http://ro.ecu.edu.au/ecuworks/6217/

Paap, A., Askraba, S., Alameh, K., & Rowe, J. (2008). Photonic-based spectral reflectance sensor for ground-based plant detection and weed discrimination. Optics express, 16(2), 1051-1055.Retrieved from http://ro.ecu.edu.au/ecuworks/1113/

Original article available here

Paap, A. J., Askraba, S., Alameh, K., & Rowe, J. (2008). Evaluation of an Optical Image Sensor for Use in the Micro-Photonic Real-Time Vegetation Discrimination System. Proceedings of Australian Conference on Optical Fibre Technology (ACOFT). (pp. 1-2). Sydney, Australia. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from http://ro.ecu.edu.au/ecuworks/1103/

Original article available here

Language

eng

Access Rights

metadata only record

Contact

Kamal Alameh: k.alameh@ecu.edu.au

Citation

Alameh, K. (2014). Spectral reflectance data of plant green. Edith Cowan University Research Online. https://ro.ecu.edu.au/datasets/13