بررسی عملکرد کارنده نیوماتیکی بر اساس پردازش فیلم و کالمن فیلتر

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Afify, M., El-Haddad, Z., Hassan, G. and Shaaban, Y. (2009). Mathematical model for predicting vacuum pressure of onion seeds precision seeder. Journal of Agricultural Engineering, 26(4),1776 – 1799.

Akhil, V. & Anoop, J. (2014). An Integrated System for Tracking and Recognition using Kalman Filter.International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT). 1065-1069.

Alchanatis, V., Kashti, Y. and Brikman, R. (2002). A machine vision for evaluation of planter seed spatial distribution. CIGR Journal, 4, 11–20.

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Chien, S. Y., Ma, S. Y., and Chen, L. G. (2002). Efficient moving object segmentation algorithm using background registration technique. Circuits and Systems for Video Technology, IEEE Transactions on, 12(7), 577-586.

Hague, T., Marchant, J. A., and Tillett, N. D. (2000). Ground based sensing systems for autonomous agricultural vehicles. Computers and Electronics in Agriculture, 25(1), 11-28.

Hajahmed, O., Tola, E., Kheiralla, A.F. and Algaadi, K. (2012). On-the- assessment of seed metering unit performance using an opto-electronic sensor. Annual Conference of postgraduate studies and scientific research, 17-20 February. 10-17 friendship. Hall, Khartoum.

Hemmat, A. and Asadi-Khoshoee, A. (2002). Performance evaluation of cotton planting machine. Sciences and Technology of Agriculture and Natural Resources, 6(2), 187-199.

Jang, D. S., Jang, S. W., and Choi, H. I. (2002). 2D human body tracking with structural Kalman filter. Pattern Recognition, 35(10), 2041-2049.

Karayel, D., Barut, Z. B. and Ozmerzi, A. (2004). Mathematical modeling of vacuum pressure on a precision seeder. Biosystem Engineering, 87(4), 437–444.

Karayel, D., Wiesehoff, M., Ozmerzi, A. and Muller, J. (2006). Laboratory measurement of seed drill seed spacing and velocity of fall of seeds using high-speed camera system. Computers and Electronics in Agriculture, 50, 89–96.

Kazemi, N., Almasi, M., Bahrami, H., Shaykh Davoodi, M. J. and Mesgarbashi, M. (2014). Efficacy analysis of management major mactors affecting on overall energy efficiency of tractor implement by real-time performance monitoring.The 8 th National Congress on Agriculture Machinery Engineering (Biosystem) and Mechanization.

Kim, C., and Hwang, J. N. (2002). Fast and automatic video object segmentation and tracking for content-based applications. Circuits and Systems for Video Technology, IEEE Transactions on, 12(2):122-129.

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 Nguyen, H. T., and Smeulders, A. W. (2004). Fast occluded object tracking by a robust appearance filter. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 26(8), 1099-1104.

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Onal, I., Degirmencioglu, A. and Yazgi, A. (2012). An evaluation of seed spacing accuracy of a vacuum type precision metering unit based on theoretical considerations and experiments. Turk Journal of Agricultural For, 36:133-144.

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Park, D. K., Yoon, H. S., and Won, C. S. (2000). Fast object tracking in digital video. Consumer Electronics, IEEE Transactions on, 46 (3), 785-790.

Shantaiy, S., Verma, K. & Mehta, K. (2015). Multiple Object Tracking using Kalman Filter and Optical Flow. European Journal of Advances in Engineering and Technology, 2(2), 34-39.

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Weng, S. K., Kuo, C. M., and Tu, S. K. (2006). Video object tracking using adaptive Kalman filter.  Journal of Visual Communication and Image Representation,17(6), 1190-1208.

Wu, Y., and Huang, T. S. (2001). A co-inference approach to robust visual tracking. In Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on (Vol. 2, pp. 26-33). IEEE.

Xiaoyan, D., Xu, L., Caixia, Sh., Haidong, H. and Qingxi L. (2010). Mathematical model and optimization of structure and operating parameters of pneumatic precision metering device for rapeseed .Journal of Food, Agriculture and Environment. 8(3&4), 318 -322.

Yoon, Y. & Chun, J. (2015). Tracking Model for Abnormal Behavior from Multiple Network CCTV Using the Kalman Filter. Springer-Verlag Berlin Heidelberg. 933-939.

Zhao, T., and Nevatia, R. (2004). Tracking multiple humans in complex situations. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 26(9), 1208-1221.

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