Development of Autonomous Agricultural Vehicle as New Trends of Agricultural Robotics
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Abstract: CCTV cameras are widely used to monitor traffic, but they often come with limitations that still force officials to check traffic flow manually. In this work, we introduce a simple and automatic method to measure traffic volume and vehicle speed by analyzing pixel patterns from CCTV video. Our approach begins by marking vertical and horizontal reference lines on each lane and collecting pixel information from these lines in every video frame. When a vehicle crosses these lines, the change in pixel brightness clearly reveals its movement. By studying these brightness changes, we can automatically detect vehicles and calculate key traffic parameters accurately.
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Kesarwani, Sonali, Mishra,Devesh, Srivastava, Anshuka and Agrawal, K.K., “Design and Development of Automatic Soil Moisture Monitoring with Irrigation System for Sustainable Growth in Agriculture”, International Conference on Sustainable Computing in Science, Technology & Management (SUSCOM) 2019.
Mondal, Anindita and Mishra, I.S., “Building a Low-Cost Solution using Wireless Sensor Network for Agriculture Applcation:, IEEE, 2017.
Tamaki K. Agriculture and Robots. Tokyo Univ of Agric, 2006; 50(4): 83－94.
Willrodt F L. Steering attachment for tractors. 1924; U.S. Patent No. 1506706.
Sissons R. Plowing in circles saves time. The Prairie Farmer, 1939; 111(20): 7.
Morgan K E. A step towards an automatic tractor. Farm Mech, 1958; 10(13): 440－441.
Harrell R C, Adsit P D, Pool T A, Hoffman R. The Florida Robotic Grove Lab. ASAE Transactions, 1990; 33: 391－ 399.
Reid J F, Zhang Q, Noguchi N, Dickson M. Agricultural automatic guidance research in North America. Computers and Electronics in Agriculture, 2000; 25: 155－167.
Tillett N D. Automatic guidance sensors for agricultural field machines: a review. Journal of Agricultural Engineering Research, 1991; 50(33): 167－187
Hague T, Marchant J A, Tillet N D. Ground based sensing systems for autonomous agricultural vehicles, Computers and Electronics in Agriculture, 2000; 25(1-2): 11－28.
Marchant J A, Brivot R. Real-time tracking of plant rows using a Hough transform. Real-Time Imaging, 1995; 1(5): 363-71.
Hague T, Tillett N D. A bandpass filter-based approach to crop row location and tracking. Mechatronics, 2001; 11(1): 1-12.
V., Sandeep, K., Gopal, S., Naveen, A., Amudhan and Kumar, L.S., “Globally Accessible Machine Automation Using Raspberry Pi, Based on Internet of Things”, International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2015.
Celen, I.H., Onler,E. and Kilic,E., “A Design of an Agricultural Robot to Navigate Between Rows”, International Conference of Electrical, Automation and Mechanical Engineering (EAME), 2015.
Bakker, T., Van Asselt, K., Bontsema, J. and Van Straten, G., “Systematic design of an autonomous Platform for Robotic Weeding”, Journal of Terramechanics, 47, pp. 63-73, 2010.
Comba, L., Gay, P. and Ricauda Aimonino, D., “Robotics and Automation for crop management: trends and prospective”, International Conference on Work Safety and Risk Prevention in Agrofood and Forest Systems”, Ragusa, Italy, 2010.
Anthony, James Bautista and Samuel,Oliver Wane, “ATLAS Robot: A teaching tool for Autonomous Agriculture Mobile Robotics”, The Internationl Conference on Control Automation & Information Science (ICCAIS) IEEE, pp. 264-269, 2018.
Wang, Fu Jaun and Zhang, Bin, “Path Tracking Control for four wheel differentially steered vision robot” IEEE, pp. 1608-1611.
Zhan, Xiuxi, Ji, Qianyu, Wei,Shuyi, Zhang,Lingchum and Zhao,Ziwei, “The Design of underground crop digging robot and its control method”, 28th Cinese Control and Decision Conference (CCDC) IEEE, pp. 5980-5981, 2016.
Bauer, Robert, Leung, Winnie and Barfoot,Tim, “Experiment and simulation Results of Wheel-Soil Interaction for Planetary Rover”, IEEE, 2005.
Peleg, “Distributed coordination algorithms for mobile robot swarms: new directions and challenges,” in Proceedings of the 7th International Workshop on Distributed Computing (IWDC ’05), A. Pal, A. Kshemkalyani, R. Kumar, and A. Gupta, Eds., Springer, 2005.
Punit Kumar Chaubey “How IoT and Big Data Are Driving Smart Traffic Management and Smart Cities, International Journal of Engineering Research & Technology (IJERT), pp. 147–152, IJERTV11IS070084, Vol. 11 Issue 07, July-2022.
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