Ronit Rud, Ph.D.

Name:	Ronit Rud, Ph.D. (Engineer/Technician)
Units:	Agricultural Engineering, Sensing, Information and Mechanization Engineering
Research Interests / Job description

Tel:	03-9683730
Cell:	050-6220999
Fax:	03-9604704
Email:	ronit@volcani.agri.gov.il
Office location:	The Institute of Agricultural Engineering - Department of Sensing, Information and Mechanization Systems
Address:

Research Interests / Job description
	Remote Sensing, Imaging Spectroscopy, Thermal Imaging, Crop Stress via Thermal and Hyperspectral Images, USability of Environmentally sound and Reliable techniques in Precision Agriculture (USER-PA)


Proceedings R. Rud, Y. Cohen, V. Alchanatis, I. Beiersdorf, R. Klose, E. Presnov, A. Levi, R. Brikman, N. Agam, A. Dag, and A. Ben-Gal. (2015). Characterization of salinity-induced effects in olive trees based on thermal imagery, proceedibg, EECPA in Volcani Center, Israel, July 12-16. R. Rud, Y. Cohen, V. Alchanatis, Z. Dar, A. Levi, R. Brikman, C. Shenderey, B. Heuer, T. Markovits, D. Mulla, C. Rosen (2013). The potential of CWSI based on thermal imagery for in-season irrigation management in potato fields, proceedings, ECPA in Lleida, Catalonia, Spain, July 7-11. R. Rud, Y. Cohen, V. Alchanatis, A. Cohen, M. Sprintsin, A. Levi and R. Brikman, B. Heuer, J. H. Lemcoff and T. Markovits, Z. Dar, C. Rosen, D. Mulla and T. Nigon (2012). Evaluating Water Status in Potato Fields Using Combined Information from RGB and Thermal Aerial Images, proceedings, ICPA in Indianapolis, Indiana, USA, July 15-18. T. Nigon, C. Rosen, D. Mulla, Y. cohen, V. Alchanatis, and R. Rud (2012). Hyperspectral Imagery for The Detection of Nitrogen Stress in Potato for In-season Management, ICPA in Indianapolis, India, USA, July 15-18. R. Rud, Y. Cohen, V. Alchanatis, C. Rosen, D. Mulla and Tyler N. (2012). Evaluating Water Status in Potato Fields using Combined information from RGB and Thermal Aerial Images, CIGR-AgEng in Valencia, Spain, July 8-12. Ronit Rud, Maxim Shoshany, and Victor Alchanatis. (2011). Spatial-Spectral Analysis for Detection Of Salinity Effects In Cauliflower, Eggplant and Kohlrabi. Agri-Sensing, Thechnion, Haifa, Israel, 21-24 February. Yafit Cohen, Victor Alchanatis, Ronit Rud, Carl Rosen, David Mulla, Bruria Heuer, Zion Dar, Asher Levi, and Roman Brikman.(2011). Fusion of Hyperspectral & Thermal Images For Estimating Nitrogen and Water StatusiIn Potato Fields for Variable Rate Application, Agri-Sensing, Thechion, Haifa, Israel 21-24 February. Rud R., Shoshany M. and Alchanatis V. (2009). Spectral and Spatial Analaysis in the Blue Range Spectrum for Detecting Salinity Effects on Agricultural Crops, 6th EARSeL GIG IS workshop in Tel-Aviv, Israel, March 16-19. Rud R., Shoshany M. and Alchanatis V. (2006). Spectroscopic Investigation of Mediterranean Vegetation: Semi-Natural Collections, proceedings, ECCV in Graz, Austria, May 12-13. Peer reviewed publications Tyler J. Nigon, David J. Mulla, Carl J. Rosen, Yafit Cohen, Victor Alchanatis, Joseph Knight and Ronit Rud. (2015). Hyperspectral aerial imagery for detecting nitrogen stress in two potato cultivars. Computer and Electronics in Agriculture, 112: 36-46. Rud, R., Cohen, Y., Alchanatis, V., Levi, A., Brikman, R., Shenderey, C., Heuer, B., Markovits, T., Dar, Z., Rosen, C. Mulla, D. (2014). Crop water stress index derived from multi-year ground and aerial thermal images as an indicator of potato water status. Precision Agriculture, 15(3): 227-289. Tyler J. Nigon, David J. Mulla, Carl J. Rosen, Yafit Cohen, Victor Alchanatis, and Ronit Rud.(2014). Evaluation of the Nitrogen Sufficiency Index for Use with High Resolution, Broadband Aerial Imagery in a Commercial Potato Field, Precision Agriculture, 15:202-226. Rud, R., Shoshany M., and Alchanatis V., (2013). Spatial-spectral processing strategies for detection of salinity effects in cauliflowwe, aubergine and kohlrabi. Biosystem Engineering, 114: 384-396. Rud, R., Shoshany M., and Alchanatis V., (2011). Spectral indicators for salinity effects in crops: A comparison of a new green indigo ratio with existing indices. Remote Sensing Letters. 2(4): 289-298. Rud, R., Shoshany M., Alchanatis V., and Cohen Y., (2006). Application of spectral features' ratios for improving classification in partially calibrated hyperspectral imagery: A case study of separating Mediterranean vegetation species. Journal of Real-Time Image Processing. 1(2): 143-152.

Updated on: 13/11/16 14:07