ساخت و ارزیابی سامانه تشخیص تراکم توده زنبور درون کندو با استفاده از بینایی ماشین

Ahmadi, A. A. (1984). Diseases and parasites in southern Iran. Incidence of honey bee (A. millifera). Bee world, 65, 134-136.

Amadasun, M., & King, R. (1989). Textural features corresponding to textural properties. Systems, Man and Cybernetics, IEEE Transactions on, 19(5), 1264-1274.

Bellomo, N., Bianca, C. & Delitala, M. (2009). Complexity analysis and mathematical tools towards modelling of living systems. Physics of Life Reviews, 6, 144-175.

Bencsik, M., Bencsik, J., Baxter, M., Lucian, A., Romiue, J., & Millet, M. (2011). Identification of the honey bee swarming process by analysing the time course of hive vibrations. Computers and Electronics in Agriculture, 76(1), 44-50.

Bradbear, N. (1987). World distribution of major honey bee disease and pests. Bee world, 68: 15-35.

Bremond, F., Thonnat, M. & Zuniga, M. (2006). Video-understanding framework for automatic behavior recognition. Behavior Research Methods, 38, 416-426.

Buryett, M., Akratankul, P. & R.A., Morse. (1983). Tropilaelaps clareae a parasite of honey bees in south-east Asia. Bee world, 64, 25-28.

Cheng, J. R., Koh, E. G. I., Ahmed, S. & Rajapakse, J. C. (2009). Tracking of cell morphology and motion. Joint tracking of cell morphology and motion. Pattern Recognition in Bioinformatics Proceedings, 5780, 36e45.

Christodoulou, C. I., Pattichis, C. S., Pantziaris, M. & Nicolaides, A. (2003). Texture-based classification of atherosclerotic carotid plaques. Medical Imaging, IEEE Transactions on, 22(7), 902-912.       

Courty, N. & Corpetti, T. (2007). Crowd motion capture. Computer Animation and Virtual Worlds, 18, 361-370.

Dawkins, M. S., Cain, R., & Roberts, S. J. (2012). Optical flow, flock behaviour and chicken welfare. Animal Behaviour, 84(1), 219-223.

Ferrari, S., Silva, M., Guarino, M. & Berckmans, D. (2008). Monitoring of swarming sounds in bee hives for early detection of the swarming period. Computers and electronics in agriculture, 64 (1), 72-77.

Giles, A. B., Massom, R. A. & Warner, R. C. (2009). A method for sub-pixel scale feature-tracking using Radarset images applied to the Mertz Glacier, East Antarctica. Remote Sensing of Environment, 113, 1691-1699.

Gonzalez, R. C., Woods, R. E., & Eddins, S. L. (2004). Digital image processing using MATLAB. Pearson Education India.

Krell, R. (1996). Value-added products from beekeeping. F.A.O Bulletin No 124, Rome, Italy.

Lee, H.-J., Roberts, S. J., Drake, K. A. & Dawkins, M. S. (2011). Prediction of feather damage in laying hens using optical flow and Markov models. Journal of the Royal Society Journal Interface, 8, 489-499.

Ma, Y. Q. & Cisar, P. (2008). Activity representation in crowds. Structural, Syntactic, and Statistical Pattern Recognition, 5342, 107-116.

Mossadegh. M.S. & R. Bahreini. (1994). Acarapis mites of honey bee , Apis mellifera, in Iran . Exp. Appl. Acarolo. , 18 (8): 503 – 506.

Neves, D. P., Abdanan Mehdizadeh, S., Tscharke, M., Nääs, I. A. & Banhazi, T. M. (2015). Detection of flock movement and behaviour of broiler chickens at different feeders using image analysis. Information Processing in Agriculture, (accepted for publication).

Shi, L. Z., Nascimento, J. M., Chandsawangbhuwana, C., Botvinick, E. L. & Berns, M. W. 2008. An automatic system to study sperm motility and energetics. Biomedical Microdevices, 10, 573-583.

Sonka, M., Hlavac, V. & Boyle, R. (1999). Image Processing Analysis and Machine Vision. 2nd edn. London: PWS Publishing.

Trees, H. L. V. (2001). Detection, Estimation, and Modulation Theory, New York: Wiley.

Von Frisch, K. (1967). The Dance Language and Orientation of Bees. The Belknap Press of Harvard University Press, Cambridge, Mass.

Weissleder, R. & Pitter, M. J. (2008). Imaging in the era of molecular oncology. Nature, 452, 580- 589