Remnant fertilizer monitoring system for maize fertilizer applicators

Yaohui Zhang, Kailiang Zhang, Yang Yu, Dongxing Zhang, Li Yang, Tao Cui, Xiantao He

Abstract


A remnant fertilizer monitoring system utilizing three-dimensional (3D) reconstruction was proposed to detect the amount of remaining fertilizer in the applicator’s tank. Bench tests were carried out to compare the performance of four algorithms to estimate the remnant fertilizer amount: fertilizer remnant monitoring biharmonic spline algorithm (V4), natural nearest-neighbor algorithm (Natural), linear algorithm (Linear), cubic algorithm (Cubic). The average relative error for remnant fertilizer monitoring is 7.33% for the Linear algorithm, 7.30% for the Natural algorithm, 5.18% for the Cubic algorithm, and 4.30% for the V4 algorithm. Field tests are conducted at three fertilization rates to compare the performances of the V4 and Cubic algorithms. The average relative error for discharged fertilizer monitoring is 8.64% for the Cubic algorithm, which is 1.91% lower than that of the V4 algorithm. The results show that the Cubic algorithm has the best performance for remnant fertilizer monitoring. The average relative error of remnant fertilizer monitoring is 2.42% for the Cubic algorithm, which is 0.43% lower than that of the V4 algorithm. The response time of the remnant fertilizer monitoring system is 0.26 s. The results demonstrate that the proposed remnant fertilizer monitoring system is highly accurate and suitable for real-time applications.
Keywords: maize fertilizer applicator, remnant fertilizer monitoring, 3D reconstruction, solid level detection
DOI: 10.25165/j.ijabe.20231605.7452

Citation: Zhang Y H, Zhang K L, Yu Y, Zhang D X, Yang L, Cui T, et al. Remnant fertilizer monitoring system for maize fertilizer applicators. Int J Agric & Biol Eng, 2023; 16(5): 173-180.

Keywords


maize fertilizer applicator, remnant fertilizer monitoring, 3D reconstruction, solid level detection

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References


Su N, Xu T S, Song L T, Wang R J, Wei Y Y. Variable rate fertilization system with adjustable active feed-roll length. Int J Agric & Biol Eng, 2015; 8(4): 19－26. doi: 10.3965/j.ijabe.20150804.1644.

Wang Y C, Lu Y L. Evaluating the potential health and economic effects of nitrogen fertilizer application in grain production systems of China. Journal of Cleaner Production, 2020; 264: 121635. doi: 10.1016/j.jclepro.2020.121635.

Zhang J Q, Liu G, Huang J Y, Zhang Y Z. A study on the time lag and compensation of a variable-rate fertilizer applicator. Transactions of the ASABE, 2021; 37(1): 43-52.

Yin X, Noguchi N, Yang T X, Jin C Q. Development and evaluation of a low-cost precision seeding control system for a corn drill. Int J Agric & Biol Eng, 2018; 11(5): 95–99. doi: 10.25165/j.ijabe.20181105.3369.

Han C-W, Lee S-Y, Hong Y-K, Kweon G-Y. Development of a variable rate applicator for uniform fertilizer spreading. Int J Agric & Biol Eng, 2019; 12(2): 82–89. doi: 10.25165/j.ijabe.20191202.3242.

Alameen A A, Al-gaadi K, Tola E. Development and performance evaluation of a control system for variable rate granular fertilizer application. Computers and Electronics in Agriculture, 2019; 160: 31-39.

Song C C, Zhou Z Y, Zang Y, Zhao L L, Yang W W, Luo X W, et al. Variable-rate control system for UAV-based granular fertilizer spreader. Computers and Electronics in Agriculture, 2021; 180: 105832. doi: 10.1016/j.compag.2020.10832.

Chakraborty S, Bera S K, Mandal N, Bera S C. Study on futher modification of non-contact capacitance type-level transducer for a conducting liquid. IEEE Sensors Journal, 2015; 15(11): 6678-6688.

Lata A, Kumar B, Mandal N. Design and development of a level transmitter using force resistive sensor as a primary sensing element. IET Sci Meas Technol, 2018; 12(1): 118-125.

Vogt M. An optimized float for reliable radar tank level measurement in bypass pipes. 8th German Microwave Conference, GeMiC 2014; pp.178-181.

Faizan Ali S, Mandal N. Design and development of an electronic level transmitter based on hydrostatic principle. Measurement, 2019; 132: 125-34.

Canbolat H, Member S. Three capacitive sensors for liquids. IEEE Transactions on Instrumentation and Measurement, 2009; 58(10): 3762-3768.

Chen Z, Hefferman G, Wei T. Multiplexed oil level meter using a thin core fiber cladding mode exciter. IEEE Photonics Technology Letters, 2015; 27(21): 2215-2218.

Yoshida T, Kobayashi K, Suzuki K, Kajiro W. Powder and bulk level switch using an acoustic tube method. IEEE Sensors Journal, 2018; 18(14): 5965-5973.

Ooshima A, Kqbayashi K. Development of a noninvasive powder level switch by acoustic method. SICE 2004 Annual Conference, 2004; pp.2141-2144.

Kobayashi K, Watanabe K, Yoshida T, Hokari M, Tada M. Level detection of materials in nonmetallic tank by the DC component of a microwave doppler module. IEEE Sensors Journal, 2019; 19(4): 1554-1562.

Hannan M A, Arebey M, Begum R A,Basri H. An automated solid waste bin level detection system using a gray level aura matrix. Waste Management, 2012; 32(12): 2229-2238.

Tian Y N. Design and experimental research of fertilizer box material level detection device based on single chip microcomputer. MS thesis, Daqing: Heilongjiang Bayi Agricultural University, 2019; 69p. (in Chinese)

Zhao M Y. Design and experimental research on the level detection device of fertilizer tank based on capacitance method. MS thesis, Daqing: Heilongjiang Bayi Agricultural University, 2019; 62p. (in Chinese)

Zhao J L, Wang X G, Tian H L, Lu Y, Guo C J, Liu H L. A fertilizer discharge detection system based on point cloud data and an efficient volume conversion algorithm. Computers and Electronics in Agriculture, 2021; 185: 106131. doi: 10.1016/j.compag.2021.106131.

Kumar B, Rajita G, Mandal N. A review on capacitive-type sensor for measurement of height of liquid level. Measurement and Control (United Kingdom), 2014; 47(7): 219-224.

Khan F A, Yousaf A, Reindl L M. Dual segment glocal model based capacitive level sensor (CLS) for adhesive material and level detection. Frequenz, 2018; 72(5-6): 261-266.

Gmelig Meyling R H J. Approximation by cubicC1-splines on arbitrary triangulations. Numerische Mathematik, 1987; 51: 65-85.

Deng X S, Tang Z A. Moving surface spline interpolation based on green’s function. Mathematical Geosciences, 2011; 43(6): 663-680.

Variable fertilizing and seeding machine control system. Standardization Administration of the People's Republic of China, 2017. (in Chinese)

Determination of bulk density for inorganic chemical products. Standardization Administration of the People's Republic of China, 2009.

Zhao M Y, Wang X, Qi Z K, Tian Y N. Design and test of electrode for material level detection sensor based on COMSOL. Journal of Chinese Agricultural Mechanization, 2019; 40(4): 158-163. (in Chinese)

Tian Y N, Qi Z K, Wang X, Zhao M Y. Design and experiment of material level sensor for fertilizer tank based on single chip microcomputer. Journal of Agricultural Mechanization Research, 2020; 42(7): 105-110. (in Chinese)




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