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QUALITY, STRESS, DISEASE, YIELD DETECTION, COUNTING

  • Yield estimation 

  • Aharon Kalantar, MSc., Melon recognition for yield detection. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev.  October 2017-2019. (with Y. Klapp). Thesis

  • Maturity classification 

  • Shachar Laykin, Ph.D., On-line feature selection for a sorting system. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, 2006. (with Dr. V. Alchanatis). Thesis.

  • 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. 2021. (with Y.Parmet). Thesis.​​

  • Tomer Ram, M.Sc., Prediction of optimal olive harvest time, Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, March 2008 (with Z. Weisman). Thesis.

  • Stress and disease detection 

  • Tidhar Sandovsky, MSc., Disease detection in corn using hyperspectral imaging. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev.  August 2020. (with V. Alchanatis).

  • Shahar Gad, M.Sc., Stress detection in wheat using hyperspectral imaging. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev.  April 2017-February 2020. (with V. Alchanatis). PDF, PPT

  • Bar Cohen. M.Sc. Disease detection (downy mildew) in grapevine using thermal imaging. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. September 2021. (with V. Alchanatis). Thesis

  • Fruit & flower detection

  • Elie Zemmour, M.Sc., Adaptive thresholding algorithm for fruit detection. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. Sept. 2018. Thesis

  • Dor Oppenheim, M.Sc., Computer vision algorithms for detection of tomato flowers in greenhouses. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. Oct 2017. (with G.Shani). 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.  Thesis

  • MIcro-algae grow control 

  • Elad Dan, M.Sc., Deterministic and stochastic models for light attenuation and controlling algorithm for microalgal growth. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. Oct. 2017 (with Claude Aflalo, Yisrael Parmet). Thesis​​​​​

  • Biometric identification

  • Biometric identification of sheep and a mobile system for counting laying hens, Almog Hitelman - Link​

  • The effect of age on young sheep biometric identification, Almog Hitelman - Link

  • Biometric identification of sheep via a machine-vision system, Almog Hitelman - Link

  • Aquaculture

  •  Chen Rothschild, M.Sc., Computer vision system to count crustacean larvae, Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, December 2022,(Prof. Yael Edan, Prof. Amir Sagi). Thesis.

  • Irrigation Malfunctions

  • Noy Kalo. M.Sc. Identification of drip malfunctions using thermal imaging. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. August 2019-current. (with V. Alchanatis).

  • COUNTING

  • guy

  • faina

  • chen

DAIRY COW BODY SCORING

  • Amos Bercovich, M.Sc., Automatic cow's body condition scoring. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, October 2012. (with Dr. I. Halachmi). Thesis

INDIVIDUAL COW FEED ESTIMATION

  • Ran Bezen, MSc., Monitoring food intake in the dairy farm. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev.  October 2017-2019. (with I. Halachmi). Thesis

  • May Saar. M.Sc. Computer vision system for measuring individual cow feed intake using RGBD camera. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. September 2021. (with I. Halachmi). Thesis

  • A machine vision system to predict individual cow feed intake of different feeds in a cowshed, May Saar - Thesis

PRECISION AGRICULTURE 

  • s

PUBLICATIONS

Refereed Articles in Scientific Journals

  • Katz, N., Y. Edan, Y. Sarig, U.M. Peiper. 1988.
    Determination of fruit bearing zones and distribution in citrus.
    Israel Agresearch 2(1): 69-86 (in Hebrew). Special Publication on Advances in Citrus.

  • Peiper U., Y. Edan, S. Devir, M. Barak, E. Maltz. 1993.  
    Automatic weighing of dairy cows.
    Journal of Agriculture Engineering Research 56(1): 13-24. DOI: 10.1006/jaer.1993.1057

  • Edan, Y., S.Y. Nof. 1995.
    Motion economy analysis for robotic kitting tasks.
    International Journal of Production Research 33(5): 1213-1227. DOI: 10.1080/00207549508930205

  • Grinspan, P , Y. Edan, H.E. Kahn, E. Maltz. 1994. 
    A fuzzy logic expert system for dairy cow transfer between feeding groups.
    Transactions of the ASAE 37(6): 1647-1654. DOI: 10.13031/2013.28252

  • Livshin, N., E. Maltz, Y. Edan. 1995.
    Regularity of dairy cows' feeding behaviour with computer-controlled feeding.
    Journal of Dairy Science 78: 296-304. DOI: 10.3168/jds.S0022-0302(95)76638-3

  • Schmilovitch, Z. , A. Zaltzman, A. Hoffman, Y. Edan. 1995. 
    Firmness sensor and system for date sorting.
    Applied Engineering in Agriculture 11(4): 555-560. DOI: 0.13031/2013.25776

  • Edan, Y., J.E. Simon. 1997.
    Spatial and temporal distribution of ripe Cantaloupe fruit.
    HortScience 32(7): 1178-1181. DOI: 10.21273/HORTSCI.32.7.1178

  • Edan, Y., H. Pasternak, I. Shmulevich, D. Rachmani, D. Guedalia, S. Grinberg, E. Fallik. 1997.
    Color and firmness classification of tomatoes.
    Journal of Food Science 62(4): 793-796. DOI: 10.1111/j.1365-2621.1997.tb15457.x

  • Halachmi, I. , E. Maltz, Y. Edan, J.H.M. Metz, S. Devir. 1997.
    The body weight of the dairy cow: modeling individual voluntary food intake based on body weight and milk production.
    Livestock Production Science 48(3): 244-246. DOI: 10.1016/S0301-6226(97)89413-4

  • Hetzroni, A., Y. Edan, V. Alchantis. 1997.
    Imaging techniques for site-specific chemical application.
    Special issue on improved pesticide application technology for reducing dosages and environmental pollution.
    Phytoparasitica 25: 59S-69S. Invited Paper.

  • Halachmi, I., Y. Edan, E. Maltz, U.M. Peiper, U. Moalem, I. Brukental. 1998.
    A real-time control system for individual dairy cow food intake.
    Computers and Electronics in Agriculture 20: 131-144. DOI: 10.1016/S0168-1699(98)00013-1

  • Pasternak, H., Y. Edan, Z. Schmilovich.  2001.
    Ridge regression for NIR analysis with multicollinearity.
    Journal of Quantitative Spectroscopy and Radiative Transfer 69: 761-768. DOI: 10.17660/ActaHortic.2001.562.30

  • Pasternak, H., Z. Schmilovich, Z., E. Fallik, Y. Edan. 2001.
    Overcoming multicollinearity in NIR analysis for Lycopene content estimation in tomatoes using ridge regression.
    Journal of Testing and Evaluation 1: 60-66. DOI: 10.1520/JTE12392J

  • Morag, I. , Y. Edan, E. Maltz. 2001.
    An individual feed allocation decision support system for the dairy farm.
    Journal of Agricultural Engineering Research 79(2): 167-176. DOI: 10.1006/jaer.2000.0687

  • Laykin, S. . V. Alchanatis, E. Fallik, Y. Edan. 2002.
    Image processing algorithms for tomato classification
    Transactions of the ASAE 45(3): 851-858. DOI: 10.13031/2013.8838

  • Halachmi, I. , Y.Edan, U.Moallem, E.Maltz. 2004.
    Predicting feed intake of the individual dairy cow.
    Journal of Dairy Science 87(7): 2254-2267. DOI: 10.3168/jds.S0022-0302(04)70046-6

  • Bechar, A. , S. Yosef, S. Netanyahu, Y. Edan. 2007.
    Improvement of Work Methods in Tomato Greenhouses Using Simulation.
    Transactions of the ASAE 50(2): 331-338. DOI: 10.13031/2013.22623

  • Ram, T. , Z. Wiesman, I. Parmet, Y. Edan. 2010.
    Olive oil content prediction models based on image processing.
    Biosystems Engineering 105(2): 221-232. DOI: 10.1016/j.biosystemseng.2009.10.011

  • Bernstein, R. , O. Ben-Shahar, A. Shapiro, Y. Edan. 2010.
    Grape clusters and foliage detection algorithms for autonomous selective vineyard sprayer.
    Intelligent Service Robotics 3(4): 233-243. Special Issue on Agricultural Robots. DOI: 10.1007/s11370-010-0078-z

  • Halachmi, I., C.F. Børsting, E. Maltz, Y. Edan, M.R. Weisbjerg. 2011.
    Feed intake of Holstein, Danish Red, and Jersey cows in automatic milking systems.
    Livestock Science. 138: 56-61. DOI: 10.1016/j.livsci.2010.12.001

  • S. Laykin , V. Alchanatis, Y. Edan. 2012.
    On-line multi-stage classifier for agriculture sorting systems.
    Pattern Recognition 45(7): 2843-2853.

  • K. Kapach ,  E. Barnea , R. Mairon , Y. Edan, O. Ben-Shahar. 2012.
    Computer Vision for Fruit Harvesting Robots - State of the Art and Challenges Ahead.
    Int. J. of Computational Vision and Robotics 3(1/2): 4-34.

  • A. Bercovich , Y. Edan, V. Alchanatis, U. Moallem, Y. Parmet, H. Honig, E. Maltz, A. Antler, I. Halachmi, I. 2013.
    Development of an automatic cow body condition scoring using body shape signature and Fourier descriptors.
    Journal of Dairy Science 96 (12):8047-59  DOI: 10.3168/jds.2013-6568

  • 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. Q1. DOI: 10.1016/j.biosystemseng.2015.12.002

  • Eizicovits, D. , B. van Tuijl, S. Berman, Y. Edan. 2016.
    Integration of perception capabilities in gripper design using graspability maps
    BioSystems Engineering 146: 98-113. Special Issue: Advances in Robotic Agriculture for Crops. Q1. DOI: 10.1016/j.biosystemseng.2015.12.016

  • 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. DOI: 10.1109/LRA.2016.2523553

  • Spolianski, R. , Y. Edan, V. Alchanatis, U. Moallem, Y. Parmet, H. Honig, C, E. Maltz, A. Antler, I. Halachmi. 2016.
    Development of automatic body condition scoring using low-cost three dimensional kinect camera.
    Journal of Dairy Science 99: 7714-7723.  doi:10.3168/jds.2015-10607.  DOI: 10.3168/jds.2015-10607

  • Kurtser, P.  , Edan, Y. 2018. Statistical models for fruit detectability: spatial and temporal analyses of sweet peppers. Biosystems Engineering 171:  272-289.  DOI:10.1016/j.biosystemseng.2018.04.017

  • Hitelman, A., Edan, Y., Godo, A., Berenstein, R., Lepar, J.,  Halachmi, I. 2022. The effect of age on young sheep biometric identification. Animal 16(2): 100452. DOI: 10.1016/j.animal.2021.100452

  • Hitelman, A. , Edan, Y., Godo, A., Berenstein, R., Lepar, J.,  Halachmi, I. 2022. Biometric identification of sheep via a machine-vision system. Computers and Electronics in Agriculture. Accepted.

  • Saar, M. , Edan, Y., Godo, A., Lepar, J., Parmet, Y.,  Halachmi, I. 2022.

       A machine vision system to predict individual cow feed intake of different feeds in a cowshed.         Animal 16(1): 100432. DOI: 10.1016/j.animal.2021.100432

  • Olatunji, S., Potenza, A., Kiselev, A., Oron-Gilad, T., Loutfi, A.,  Edan, Y. 2022.

       Levels of Automation for a Mobile Robot Teleoperated by a Caregiver. 

       ACM Transactions on Human-Robot Interaction 11(2): DOI: 10.1145/3507471

  • R. van Essen, Harel,B.,  G. Kootstra, Y. Edan. 2022.

       Dynamic viewpoint selection for sweet pepper maturity classification using online economic          decisions. Special Issue: New Development in Smart Farming for Sustainable Agriculture

       Applied Sciences 12(9): 4414, DOI: 10.3390/12094414

Other Reviewed Publications

  • Alchanatis, V., A. Hetzroni, Y. Edan. 2001. A multispectral imaging sensor for site-specific application of chemicals. ActaHorticulturae 562: 119-128.

  •  Grinshpun, J., Y. Edan, A. Hetrzoni. 2001. Development of on-line measurement methods for field implementation of gas sensors for ripeness determination.  ActaHorticulturae 562: 157-166.

  • Pasternak, H., Z. Schmilovitch, E. Fallik, Y. Edan. Ridge regression for NIR analysis with multicollinearity. ActaHorticulturae 562: 265-268.

  • S. Laykin , Y. Edan, V. Alchanatis. 2004. On-line feature and classifier selection for agricultural produce. Paper Code 451-151, Proc. of the 8th IASTED Intl. Conf. on Artificial Intelligence and Soft Computing, September 1 – 3, 2004, Marbella, Spain.

  • Bechar, A.  Y. Edan. J. Meyer. 2004. Objective Function for Performance Measurement of Human-Robot Target Recognition Systems in Unstructured Environments. Proc. of IEEE Conf. on Systems, Man and Cybernetics. Hague, The Netherlands: 118-123.

  • Stern, H., J. Wachs , Y. Edan. 2004. Hand Gesture Command Vocabulary Design -A Multicriteria Optimization. Proc. of IEEE Conf. on Systems, Man and Cybernetics. Hague, The Netherlands: 19-23.

  • Moskowitz, Y. , A. Bechar, Y. Edan. 2010. Development of a hand held computer for work process measurement in agriculture. Nir VeTelem 21: 35-40, February 2010 (in Hebrew).

  • Olatunji, S.®, Potenza, A.®, Kiselev, A., Oron-Gilad, T., Loutfi, A.,  Edan, Y. 2022.

       Levels of Automation for a Mobile Robot Teleoperated by a Caregiver. 

AC M Transactions on Human-Robot Interaction 11(2): 1-21.. arXiv preprint arXiv:2107.09992.‏

Chapters in Books

  • Maltz, E., P. Grinspan, Y. Edan, A. Antler, O. Kroll and S.L. Spahr. 1992. 
    Expert system for cow transfer between feeding groups: Potential applications for automatic self feeding and milking.

  • Prospects for Automatic Milking. Eds: A.H. Ipema, A.C. Lippus, J.H.M. Metz and W. Rossing. Pudoc Scientific Publishers. Wageningen, the Netherlands.

  • Edan, Y. 1995. 
    Postharvest technologies. Summary of lectures on postharvest science and its applications for export.
    The Chinese-Israel International Center for Training in Agriculture (CIICTA), Beijing, China.

  • Edan, Y., N. Kondo, H. Shufeng. 2009.
    Automation in Agriculture. Chapter 63 pp. 1092-1128.
    In: Handbook of Automation. Springer Verlag. Editor: S.Y. Nof.

  • Maltz, E., N. Medini , A. Bercovitch , Y. Parmet, I. Halachmi, A. Antler, Y. Edan. 2011.
    Predicting calving time of dairy cows by behaviour sensor.  In: Precision Livestock Farming ’11,
    Edited by: C. Lokhorst and D. Berckmans. Papers presented at the 5th European Conference on
    Precision Livestock Farming. Prague, Czech Republic, 11-14 July ’11. pp 464-475.

Thesis

  • Shachar Laykin, Ph.D., Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, On-line feature selection for a sorting system.  2006. (with Dr. V. Alchanatis) 

  • Ephraim Vitzrabin, Ph.D., Dynamic local thresholding using sensor fusion, Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, January 2015.  Thesis

  • 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).

  • Roiee Spoliinsky. M.Sc.  Automatic body condition scoring using three dimensional computer vision. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. August 2014.  (with Prof. I. Halachmi). 

  • Dina Rachmani, M.Sc., Faculty of Agricultural Engineering, Technion, Neural Networks for Quality sorting of Tomatoes Based on Mechanical Properties. December 1995.  (with Dr. I. Shumelvich). Thesis

  • Ilan Halachmi, M.Sc., Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, A Model for Estimating Individual Food Intake of Dairy Cows, Oct. 1996. (with Dr. E. Maltz) 

  • Ido Morag, M.Sc., Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, Optimal strategies for individual feeding of dairy cows, Sept. 1996. (with Dr. E. Maltz) 

  • Shachar Laykin, M.Sc., Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, Multi-sensor quality control system for agricultural produce, 2001 (with Dr. V. Alchanatis). Thesis

  • Shoshana Weizmann, M.Sc., Faculty of Agriculture, Hebrew University, Methodology for implementation of ISO9000 for a nursery propagation greenhouse. Research seminar. July 2001. 

  • Dror Shriki, M.Sc., Implementation of cognitive task analysis methodology for characterization and design of hand-held terminal for data collection in herb farms, Feb.  2004 (with Prof. J. Meyer, Dr. A. Hetzroni) Thesis

  • Shachar Matza, M.Sc., Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, Milking frequency decision support system, June 2004. (with Dr. E. Maltz). 

  • Tomer Ram, M.Sc., Prediction of optimal olive harvest time, Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, March 2008 (with Prof. Z. Weisman). Thesis

  • Paula Shirley Berman, M.Sc., Development of Intelligent Low Resolution NMR Technologies for Prediction of Large-Scale Quantitative and Qualitative Oilseeds Biodiesel Industry Potential, Dept. of Environmental Engineering, January 2010. (with Prof. Z. Wiesman). Thesis

  • Ephraim Vitzrabin , M.Sc., Classification between vegetation and non-vegetation using hyper-spectral imaging, Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, October 2010 (with Dr. V. Alchanati). Thesis

  • Ron Bernstein, M.Sc., Image processing algorithms for a selective vineyard sprayer, Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, October 2010. Thesis

  • Amos Bercovich, M.Sc., Automatic cow's body condition scoring. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, October 2012. (with Dr. I. Halachmi). Thesis

  • Ben Harel, M.Sc., Algorithms for sweet pepper color estimation. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev.  Oct 2015-2017. (with Y. Parmet).

  • Dor Oppenheim. Object recognition for agricultural applications using deep convolutional neural networks. M.Sc. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. March 2018. (with Guy Shani).Thesis

  • Elad Dan, M.Sc., Deterministic and stochastic models for light attenuation and controlling algorithm for microalgal growth. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. Oct. 2017 (with Claude Aflalo, Yisrael Parmet). Thesis

  • Elie Zemmour, M.Sc., Adaptive thresholding algorithm for fruit detection. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. Sept. 2018. Thesis

  • Shahar Gad. M.Sc. Stress detection in wheat using hyperspectral imaging. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. March 2020. (with V. Alchanatis). PDF, PPT

  • Ran Bezen. MSc. Monitoring food intake in the dairy farm. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. October 2019 (with I. Halachmi). Thesis

  • Aharon Kalantar. M.Sc. Melon recognition for yield detection. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. October 2019 (with Y. Klapp). Thesis

  • Tidhar Sandovsky. M.Sc. Disease detection in corn using hyperspectral imaging. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. February 2021 (with V. Alchanatis).

  •  Chen Rothschild, M.Sc., Computer vision system to count crustacean larvae, Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, December 2022,(Prof. Yael Edan, Prof. Amir Sagi). Thesis.

  • Almog Hitelman. M.Sc. COMPUTER VISION DEVELOPMENTS IN PRECISION LIVESTOCK USING MACHINE LEARNING. TWO USE CASES: A MOBILE SYSTEM FOR COUNTING LAYING HENS A SHEEP BIOMETRIC IDENTIFICATION SYSTEM. Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev. September 2021. (with I. Halachmi).

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