Intelligent sowing depth regulation system based on Flex sensor and Mamdani fuzzy model for a no-till planter

Mingwei Li, Xiaomeng Xia, Longtu Zhu, Renyi Zhou, Dongyan Huang

Abstract


Sowing depth has an important impact on the performance of no-tillage planters, it is one of the key factors to ensure rapid germination. However, the consistency of sowing depth is easily affected by the complex environment of no-tillage operation. In order to improve the performance of no-tillage planters and improve the control precision of sowing depth, an intelligent depth regulation system was designed. Three Flex sensors installed on the inner surface of the gauge wheel at 120° intervals were used to monitor the downward force exerted by the seeding row unit against ground. The peak value of the output voltage of the sensor increased linearly with the increase of the downward force. In addition, the pneumatic spring was used as a downforce generator, and its intelligent regulation model was established by the Mamdani fuzzy algorithm, which can realize the control of the downward force exerted by the seeding row unit against ground and ensure the proper seeding depth. The working process was simulated based on MATLAB-Simulink, and the results showed that the Mamdani fuzzy model performed well in changing the pressure against ground. Field results showed that when the operating speed was 6 km/h, 8 km/h and 10 km/h, the error of the system's control of sowing depth was ±9 mm, ±12 mm, and ±22 mm, respectively, and its sowing performance was significantly higher than that of the unadjusted passive operation.
Keywords: Flex sensor, Mamdani fuzzy model, sowing depth, intelligent regulation system, no-till planter
DOI: 10.25165/j.ijabe.20211406.5939

Citation: Li M W, Xia X M, Zhu L T, Zhou R Y, Huang D Y. Intelligent sowing depth regulation system based on Flex sensor and Mamdani fuzzy model for a no-till planter. Int J Agric & Biol Eng, 2021; 14(6): 145–152.

Keywords


Flex sensor, Mamdani fuzzy model, sowing depth, intelligent regulation system, no-till planter

Full Text:

PDF

References


Jia L Z, Zhao W W, Zhai R J, Liu Y, Kang M M, Zhang X. Regional differences in the soil and water conservation efficiency of conservation tillage in China. Catena, 2019; 175: 18-26.

Wang X B, Cai D X, Hoogmoed W B, Oenema O, Perdok U D. Potential Effect of Conservation Tillage on Sustainable Land Use: A Review of Global Long-Term Studie. Pedosphere, 2006; 16(5): 587-595.

Gao W S. Development trends and basic principles of onservation tillage. Scientia Agricultura Sinica, 2007; 40(12): 2702-2708. (in Chinese)

Yang A M, Liu X Y. Developing conservation tillage to effectively control soil erosion on farmland. Science of Soil and Water Conservation, 2010; 8(6): 47-52. (in Chinese)

Zhu H B, Qian C, Guo Z H, Bai L Z. Design of the real-time detection system based on LabVIEW for no-till seeder working performance. Int J Agric & Biol Eng, 2021; 14(5): 100-106.

He J, Zhang Z Q, Li H W, Wang Q J. Development of small/medium size no-till and minimum-till seeders in Asia: A review. Int J Agric & Biol Eng, 2014; 7(4): 1-12.

Ma Y C, Zhang W, Li Y Q, Che G. Study on two profiling mechanism of planter unit. Journal of Agricultural Mechanization Research, 2011; 33(8): 101-103, 106. (in Chinese)

Ben-Zeev S, Kerzner S, Rabinovitz O, Saranga Y. Optimizing sowing depth of Tef for irrigated mediterranean conditions: From laboratory to field studies. Agronomy, 2020; 10(12): 1983. doi: 10.3390/agronomy10121983.

Wang X, Zhang H Y, Zhao J, Li Y Q, Zhang W. Research of electro-hydraulic profiling institutions of soybean seeders. Journal of Agricultural Mechanization Research, 2010; 32(1): 227-229. (in Chinese)

Wen L P, Fan X F, Liu Z, Zhang Y. The design and development of the precision planter sowing depth control system. Sensors &Transducers, 2014; 162(1): 53-58.

Weatherly E T, Bowers Jr C G. Automatic depth control of a seed planter based on soil drying front sensing. Transactions of the ASAE, 1997; 40(2): 295-305.

Nielsen S K, Norremark M, Green O. Sensor and control for consistent seed drill coulter depth. Computers and Electronics in Agriculture, 2016; 127: 690-698.

Zhao J L, Zhu L T, Jia H L, Huang D Y, Guo M Z, Cong Y J. Automatic depth control system for a no-till seeder. Int J Agric & Biol Eng, 2018; 11(1): 115-121.

Gao Y Y, Zhai C Y, Yang S, Zhao X G, Wang X, Zhao C J. Measurement method and mathematical model for the seeding downforce of planter row unit. Transactions of the CSAE, 2020; 36(5): 1-9. (in Chinese)

Zhang B, Zhang W, Qi L Q, Fu H B, Yu L J, Li R, Zhao Y, Ma X X. Information acquisition system of multipoint soil surface height variation for profiling mechanism of seeding unit of precision corn planter. Int J Agric & Biol Eng, 2018; 11(6): 58-64.

Kiani S. Automatic on-line depth control of seeding units using a non-contacting ultrasonic sensor. International Journal of Natural and Engineering Sciences, 2010; 6(2): 39-42.

Jia H L, Zhu L T, Huang D Y, Wang Q, Li M W. Automatic control system of sowing depth for no-tillage planter based on Flex sensor. Journal of Jilin University (Engineering and Technology Edition), 2019; 49(1): 166-175. (in Chinese)

Selvachandran G, Quek S G, Lan L T H, Son L H, Giang N L, Ding W P, et al. A new design of Mamdani complex fuzzy inference system for Multi-attribute decision making problems[J]. IEEE Transactions on Fuzzy Systems, 2019; 29(4): 716-730.

Kacimi M A, Guenounou O, Brikh L, Yahiaoui F, Hadid N. New mixed-coding PSO algorithm for a self-adaptive and automatic learning of Mamdani fuzzy rules. Engineering Applications of Artificial Intelligence, 2020; 89: 103417. doi: 10.1016/j.engappai.2019.103417.

Sajid M, Dang H W, Na K H, Choi K H. Highly stable Flex sensors fabricated through mass production roll-to-roll micro-gravure printing system. Sensors and Actuators A: Physical, 2015; 236: 73-81.

Saggio G. A novel array of Flex sensors for a goniometric glove. Sensors and Actuators A: Physical, 2014; 205: 119-125.

Basjaruddin N C, Sutjiredjeki E, Akbar H W C. Developing an electronic glove based on fuzzy logic for mobile robot control. Journal of Intelligent & Fuzzy Systems, 2019; 36(2): 1639-1645.

Molina A, Guerrero J, Gomez I, Merino M. A new multisensor software architecture for movement detection: Preliminary study with people with cerebral palsy. International Journal of Human-Computer Studies, 2017; 97: 45-57.

Yan J, Zhu L T, Yu T T, Huang D Y, Jia H L. Seeding depth real-time monitoring system for a no-till planter. Journal of Agricultural Mechanization Research, 2016; 38(9): 214-218, 223. (in Chinese)

Huang D Y, Zhu L T, Jia H L, Yu T T. Automatic control system of seeding depth based on piezoelectric film for no-till planter. Transaction of the Chinese Society for Agricultural Machinery, 2015; 46(4): 1-8. (in Chinese)

Zhou H B, Chen R, Zhou S, Liu Z Z. Design and analysis of a drive system for a series manipulator based on orthogonal-fuzzy PID control. Electronics, 2019; 8(9): 1051. doi: 10.3390/electronics9091051.

Chiu C H, Lin C M. Control of an omnidirectional spherical mobile robot using an adaptive Mamdani-type fuzzy control strategy. Neural Computing & Applications, 2018; 30(4): 1303-1315.

Zhu L T. Research on the automatic control system of sowing depth for no-till planter. Master dissertation. Changchun: Jilin Agricultural University, 2017; 51p. (in Chinese)




Copyright (c) 2021 International Journal of Agricultural and Biological Engineering

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

2023-2026 Copyright IJABE Editing and Publishing Office