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Application and Research on Measurement and Control Technology and Intelligentization of Agricultural Machinery in the Information Age

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Tang, Y., Wang, M., Zhao, X., & Hao, F. (2017). Research and application of intelligent control of agricultural machinery based on hardware and software collaborative design. IEEE Information Technology & Mechatronics Engineering Conference. IEEE. Search in Google Scholar

A, A. S., B, S. J., A, R. M., & A, V. R. D. (2022). Demystifying artificial intelligence amidst sustainable agricultural water management. Current Directions in Water Scarcity Research, 7, 17-35. Search in Google Scholar

Kaletnik, G. M., & Lutkovska, S. M. (2023). Organic agricultural production in the system of modernization of environmental safety. Pollution Research. Search in Google Scholar

Sakai, J. (2013). National modernization cannot be realized without the development and diffusion of agricultural mechanization. Agricultural Mechanization in Asia, Africa and Latin America: AMA(44-4). Search in Google Scholar

Stelmashchuk, A. (2019). Modernization of agricultural enterprises is a necessary condition for the transition to organic food production. INNOVATIVE ECONOMY(7-8), 45-51. Search in Google Scholar

Yan, J. (2023). Adaptive scheduling of agricultural machinery equipment production lines for intelligent manufacturing. International Journal of Manufacturing Technology and Management. Search in Google Scholar

Ding, C., Wang, L., Chen, X., Yang, H., Huang, L., & Song, X. (2023). A blockchain-based wide-area agricultural machinery resource scheduling system. Applied Engineering in Agriculture. Search in Google Scholar

Tarighi, J., Janeh, A., & Sharabiani, V. R. (2023). Examining regional differences in agricultural machinery sector productivity using data envelopment analysis (dea). Agricultural Mechanization in Asia, Africa and Latin America: AMA(1), 54. Search in Google Scholar

Cui, X., Cui, B., Zhen, M. A., Han, Y., Zhang, J., & Wei, X. (2023). Integration of geometric-based path tracking controller and its application in agricultural machinery automatic navigation. Journal of Intelligent Agricultural Mechanization (in Chinese and English), 4(3), 24-31. Search in Google Scholar

Shen, X., Che, H., Yao, Z., Wu, B., Lv, T., & Yu, W., et al. (2023). Real-world emission characteristics of full-volatility organics originating from nonroad agricultural machinery during agricultural activities. Environmental Science & Technology: ES&T. Search in Google Scholar

Kielbasa, P., & Zagorda, M. (2023). Ergonomic evaluation of mechanical vibrations of specialized agricultural machinery with general effects on humans. Przeglad Elektrotechniczny. Search in Google Scholar

Jiang, W., Chen, W., Song, C., Yan, Y., Zhang, Y., & Wang, S. (2023). Obstacle detection and tracking for intelligent agricultural machinery. Computers and Electrical Engineering, 108. Search in Google Scholar

Dambock, J. (2022). Intelligent, connected measurement and control. Wire: Manufacture and processing of wire and cable. Search in Google Scholar

Mondal, S., Ray, R., N., S. R., & Nandy, S. (2022). Intelligent controller for nonholonomic wheeled mobile robot: a fuzzy path following combination. Mathematics and Computers in Simulation (MATCOM), 193. Search in Google Scholar

Loureiro, J., Rangarajan, R., Nikolic, B., Indrusiak, L. S., & Tovar, E. (2018). Extensive analysis of a real-time dense wired sensor network based on traffic shaping. ACM Transactions on Cyber-Physical Systems, 3(3). Search in Google Scholar

eISSN:
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Volume Open
Sujets de la revue:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics