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.
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.
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.
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.
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.
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.
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.
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.
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
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).
