YAEL EDAN
PUBLICATIONS
Vitzrabin, E. , Y. Edan. 2016. Adaptive thresholding with fusion using a RGBD sensor for red sweet pepper detection. BioSystems Engineering 146: 45-56. Special Issue: Advances in Robotic Agriculture for Crops.
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Vitzrabin, E., Y. Edan. 2016. Changing Task Objectives for Improved Sweet Pepper Detection for Robotic Harvesting. Robotics Automation Letters 1(1): 575-584. Doi: 10.1109/LRA.2016.2523553. ICRA, IEEE International Conference on Robotics and Automation.
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Kurtser, P., Edan, Y. 2018. Statistical models for fruit detectability: spatial and temporal analyses of sweet peppers. Biosystems Engineering 171: 272-289.
https://doi.org/10.1016/j.biosystemseng.2018.04.017.
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Vitzrabin .E, Alchanatis. V, Edan. Y 2012. Classification between vegetation and non-vegetation using hyperspectral sensing, CIGR-AGEN, July 8-12, Valencia, Spain.
Harel, B., Kurtser, P, Van Herck. L, Parmet. Y, Edan. Y. 2016. Sweet pepper maturity evaluation via multiple viewpoints color analyses. CIGR-AGEN 2016. Aarhus, Denmark, June 2016.
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Ringdahl, O., Kurtser, P., Edan Y. 2017. Evaluation of human-robot collaboration strategies in guidance of a sweet-pepper harvesting robot. The 18th Towards Autonomous Robotic Systems (TAROS) Conference, University of Surrey, Guildford, UK. July 19-21, 2017.
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Zemmour, E., Edan, Y. Edan, P. Kurtser. 2017. Dynamic 3D thresholding algorithm for robotic apple detection. The 17th IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2017). Coimbra, Portugal, April 26-28, 2017.
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Harel, B., Kurtser, P, Parmet. Y, Edan. Y. 2018. Evaluation of machine vision features for separating between immature and mature sweet red peppers. 343rd International Conference on Food and Agricultural Engineering (ICFAE) Rio de Janeiro, Brazil 27th-28th February, 2018. Paper ID: IRES-ICFAERIO-27028-6942.
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Arad, B. , J. Balendonck, R. Barth, O. Ben-Shahar, Y. Edan, T. Hellstrom, J. Hemming, P. Kurtser, O. Ringdahl, T. Tielen, B. van Tuijl. 2020. Development of a Sweet Pepper Harvesting Robot. Journal of Field Robotics. DOI: 10.1002/rob.21937
Van Herck, L., P. Kurtser, L. Wittemans, Y. Edan. 2020. Systems engineering of crop design for improved robotic harvesting.
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Harel, B., Y. Parmet, Y. Edan, 2020. Maturity classification of sweet peppers using image datasets acquired in different times. Computers in Industry 121, 103274.
DOI: 10.1016/j.compind.2020.103274
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Kurster, P. Y. Edan. 2020. Planning the sequence of tasks for harvesting robots. Robots and Autonomous Systems 103591. DOI: 10.1016/j.robot.2020.103591
Harel,B., R. van Essen, Y. Parmet, Y. Edan. 2020. Viewpoint analysis for maturity classification of sweet peppers. Sensors. (accepted) DOI: 10.3390/s20133783
Kurtser, P., O. Ringdahl, N, Rotstein, R. Berenstein, Y. Edan. 2020. In-field grape cluster size assessment for vine yield estimation using a mobile robot and a consumer level RGB-D camera. IEEE Intl. Conference on Robotics & Automation, ICRA and IEEE Robotics and Automation Letters 5(2): 2031-2038.
THESIS
Ephraim Vitzrabin, Ph.D., Dynamic local thresholding using sensor fusion, Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, January 2015. Link
Kurtser Polina . Ph.D. Dynamic sensing, and task planning for an autonomous harvesting robot. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. October 2018. Link
Ben Harel. Ph.D. Development of intelligent maturity classification and decision algorithms for a selective harvesting robot. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. Oct 2017-current. (with Yisrael Parmet).