Prospective study of the technology for evaluating and measuring in-row seed spacing for precision planting: A review
Abstract
Corn is the most cultivated and consumed cereal in the world. The overall objective of this review was to study the methodologies to measure and evaluate the in-row seed spacing for precision planting as well as to determine the technological alternatives that would allow obtaining information about seed mapping for corn crop planting in precision agriculture applications. As a conceptual synthesis about the electronic measurement system, there are two strategies for determining in-row seed spacing in the precision planting. Indirect methods correspond to the measurement before the seeds reach the furrow, while direct methods correspond to the measurement with the seeds placed in the furrow. The indirect measurement strategy is the most widely used in research publications and commercial planter monitors. Within this method, the seed spacing measurement systems use optical or radio wave type seed sensors. Corn seed counting accuracy through electronic measurement systems with optical-type seed sensor is at least 96%. The microwave seed sensor is used commercially by a few companies whose technologies are patented. The direct measurement strategy is under development and requires further research. The main limitation of these technologies is the seed detection in the furrow, which limits the planter travel speed and the equipment cost. The conceptual proposal for the term ‘seed mapping’ is to provide integrated and geo-referenced information on in-row seed spacing and depth for precision planting.
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References
Alchanatis V, Kashti Y, Brikman R, 2002. A machine vision system for evaluation of planter seed spatial distribution. CIGR J Sci Res Dev IV: 11-20.
Antille DL, Peets S, Galambošová J, Botta GF, Rataj V, Macák M, et al., 2019. Review: soil compaction and controlled traffic farming in arable and grass cropping systems. Agron Res 17(3): 653-682.
Auernhammer H, 2001. Precision farming-the environmental challenge. Comput Electron Agric 30(1-3): 31-43. https://doi.org/10.1016/S0168-1699(00)00153-8
Badua S, Sharda A, Flippo D, 2019. Sensing system for real-time measurement of seed spacing, depth, and geo-location of corn: A proof-of-concept study. T ASABE 62(6): 1779-1788. https://doi.org/10.13031/trans.13593
Barut ZB, Yiğit K, 2008. Design of electronic-based measurement system for seed spacing measurement in precision planters. Proc 10th Int Congr on Mechanization and Energy in Agriculture, Antalya (Turkey), Oct 14-17. pp: 146-151.
Botta GF, Nardon GF, Guirado Clavijo R, 2022. Soil sustainability: Analysis of the soil compaction under heavy agricultural machinery traffic in extensive crops. Agronomy 12(2): 282. https://doi.org/10.3390/agronomy12020282
Campbell AJ, Baker CJ, 1989. X-ray technique for determining three-dimensional seed placement in soils. T ASAE 32(2): 379-384. https://doi.org/10.13031/2013.31013
Cay A, Kocabiyik H, Karaaslan B, May S, Khurelbaatar M, 2017. Development of an opto-electronic measurement system for planter laboratory tests. Measurement 102: 90-95. https://doi.org/10.1016/j.measurement.2017.01.060
Deere, 2007. Planter and seeding parts: New flush face seed tube. http://salesmanual.deere.com/sales/salesmanual/en_NA/seeding/2012/feature/delivery/deereplanters/seed_tubes.html [08 Sept 2020].
Deere, 2015. ExactEmerge™ Planter with brush belt delivery system. https://crossimplement.com/news/article/2015/06/john-deere-exactemerge-planter-trench-delivery-system-and-brushbelttm-delivery-system [17 Jan 2022].
Ding Y, Wang X, Liao Q, Li M, 2016. Design and experiment of performance testing system of multi-channel seed-metering device based on time intervals. T Chin Soc Agric Eng 32(7): 11-18.
Ehsani MR, Upadhyaya SK, Mattson ML, 2004. Seed location mapping using RTK GPS. T ASAE 47(3): 909-914. https://doi.org/10.13031/2013.16088
Fountas S, Wulfsohn D, Blackmore BS, Jacobsen HL, Pedersen SM, 2006. A model of decision-making and information flows for information-intensive agriculture. Agric Syst 87(2): 192-210. https://doi.org/10.1016/j.agsy.2004.12.003
García-Lara S, Serna-Saldivar SO, 2019. Corn history and culture. In: Corn: Chemistry and technology, 3rd ed; Serna-Saldivar SO (ed.). pp: 1-18. Elsevier. https://doi.org/10.1016/B978-0-12-811971-6.00001-2
Gil E, Carnasa R, 1996. Working quality of spacing drills effects of sowing speed and type of seed. Proc Int Conf Agric Eng (AgEng), Madrid (Spain), Sept 23-26. pp: 57-58.
Goldman DM, Hunter JL, Meyer TP, 2013. Seed planter data acquisition and management system. Patent No. US 8473168B2.
Griepentrog HW, Nørremark M, Nielsen H, Blackmore BS, 2005. Seed mapping of sugar beet. Precis Agric 6(2): 157-165. https://doi.org/10.1007/s11119-005-1032-5
Hajahmed O, Tola E, Al-Gaadi KA, Kheiralla AF, 2011. Development of an opto-electronic monitoring system for crop planter seed metering unit. Middle-East J Sci Res 8(4): 732-738.
Huang D, Jia H, Qi Y, Zhu L, Li H, 2013. Seeding monitor system for planter based on polyvinylidence fluoride piezoelectric film. T Chin Soc Agric Eng 29(23): 15-22.
ISO 7256/1 Standard, 1984. Sowing equipment - Test methods Part 1: Single seed drills (precision drills). https://www.iso.org/standard/13910.html
Itagi AV, Wiwel B, Oberg RF, 2018. Electromagnetic seed sensor assembly for seed tube planting applications Patent No. US 9863894B1.
Kachman SD, Smith JA, 1995. Alternative measures of accuracy in plant spacing for planters using single seed metering. T ASAE 38(2): 379-387. https://doi.org/10.13031/2013.27843
Karayel D, Wiesehoff M, Özmerzi A, Müller J, 2006. Laboratory measurement of seed drill seed spacing and velocity of fall of seeds using high-speed camera system. Comput Electron Agric 50(2): 89-96. https://doi.org/10.1016/j.compag.2005.05.005
Karimi H, Navid H, Mahmoudi A, 2015. Online laboratory evaluation of seeding-machine application by an acoustic technique. Span J Agric Res 13(1): e02-002. https://doi.org/10.5424/sjar/2015131-6050
Kjartanson D, 2014. Arrangement of sensors in a seed counting apparatus for a planter monitor. Patent No. US 8669514B2.
Klenin NI, Popov IF, Sakun VA, 1986. Agricultural machines: Theory of operation, computation of controlling parameters and the condition of operation. Balkema Press, Rotterdam, the Netherlands.
Kocher MF, Lan Y, Chen C, Smith JA, 1998. Optoelectronic sensor system for rapid evaluation of planter seed spacing uniformity. T ASAE 41(1): 237-245. https://doi.org/10.13031/2013.17143
Körösi G, Csatári T, Erdei C, Silye J, 2019. Seed counting sensor and method for detecting blockage of a seed conveying pipe. Patent No. EP 3340766B1.
Kostić M, Rakić D, Radomirović D, Savin L, Dedović N, Crnojević V, Ljubičić N, 2018. Corn seeding process fault cause analysis based on a theoretical and experimental approach. Comput Electron Agric 151: 207-218. https://doi.org/10.1016/j.compag.2018.06.014
Kumar R, Raheman H, 2018. Detection of flow of seeds in the seed delivery tube and choking of boot of a seed drill. Comput Electron Agric 153: 266-277. https://doi.org/10.1016/j.compag.2018.08.035
Landphair DK, Liu JZ, 2013. Seed spacing monitoring system for use in an agricultural seeder. Patent No. US 8365679B2.
Lauer JG, Rankin M, 2004. Corn response to within row plant spacing variation. Agron J 96(5): 1464-1468. https://doi.org/10.2134/agronj2004.1464
Lázaro L, Ressia J, Mendivil G, Pane E, Dinolfo E, Agostini M, et al., 2005. Respuesta en rendimiento a la variabilidad espacial de plantas de maíz. Proc VIII Congr Arg de Ingeniería Rural, Argentina, Nov 09-12, CD-Paper No. 51.
Li W, Lin J, 2006. Seeding precision test based on machine vision. Proc Comp Agric Nat Resources, 4th World Congr Conf, July 23-25. ASABE Publ No. 701P0606.
Liebich M, Klocke J, Martella P, 2017. Downpipe sensor system and method for single grain recognition. Patent No. US 9575210B2.
Liu K, Yi S, 2019. Design and experiment of seeding performance monitoring system for suction corn planter. Int J Agric Biol Eng 12(4): 97-103. https://doi.org/10.25165/j.ijabe.20191204.4185
Mapoka KOM, Birrell SJ, Eisenmann DJ, 2018. Application of ground-penetrating radar in measuring corn seeds spacing and planting depth in different soils. ASABE Ann Int Meeting Paper No. 1801351. https://doi.org/10.13031/aim.201801351
Mapoka KOM, Birrell SJ, Tekeste M, 2019. A comprehensive survey of nondestructive sensing technologies for the detection of corn seeds in a closed trench and measuring planting depth to augment the conventional method. Comput Electron Agric 158: 249-257. https://doi.org/10.1016/j.compag.2019.02.010
McCloskey RC, 2018. Data acquisition system for a seed planter. Patent No. US 9930826B2.
Meng P, Geng D, Wang J, Li Y, Jiang C, 2016. Based on the wireless transmission of pneumatic seeder seeding condition monitor. Proc Wirel Commun Netw Applic, Lecture in Electrical Eng, vol 348; Zeng QA (eds). pp: 295-303. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2580-5_28
Moody FH, Hancock JH, Wilkerson JB, 2003. Evaluating planter performance-cotton seed placement accuracy. ASAE Ann Int Meeting Paper No. 031146.
Nardon GF, 2003. Siembra de precisión: modelización de la distancia entre semillas. Master's thesis. Univ. Nac. de La Plata, Bs As, Argentina. 158pp.
Nielsen RL, 2001. Stand establishment variability in corn. https://www.agry.purdue.edu/ext/pubs/AGRY-91-01_v5.pdf [11 Nov 2021].
Nørremark M, Søgaard HT, Griepentrog HW, Nielsen H, 2007. Instrumentation and method for high accuracy geo-referencing of sugar beet plants. Comput Electron Agric 56(2): 130-146. https://doi.org/10.1016/j.compag.2007.01.006
Panning JW, Kocher MF, Smith JA, Kachman SD, 2000. Laboratory and field testing of seed spacing uniformity for sugarbeet planters. Appl Eng Agric 16(1): 7-13. https://doi.org/10.13031/2013.4985
Pivoto D, Waquil PD, Talamini E, Finocchio CPS, Dalla Corte VF, de Vargas Mores G, 2018. Scientific development of smart farming technologies and their application in Brazil. Inf Process Agric 5(1): 21-32. https://doi.org/10.1016/j.inpa.2017.12.002
Precision Planting, 2017. Brochure speed tube. https://www.waupunequipment.com/pdf/precision/SpeedTube_SellSheet.pdf [17 Jan 2022].
Precision Planting, 2022. Wavevision. https://precisionplanting.com.ar/es_AR/productos/wavevision [17 Jan 2022]
Qi JT, Jia HL, Li Y, Yu HB, Liu XH, Lan YB, et al., 2015. Design and test of fault monitoring system for corn precision planter. Int J Agric Biol Eng 8(6): 13-19.
Saiz-Rubio V, Rovira-Más F, 2020. From smart farming towards agriculture 5.0: A review on crop data management. Agronomy 10(2): 207. https://doi.org/10.3390/agronomy10020207
Sauder DA, Plattner CE, 2006. Seed tube for an agricultural planter Patent No. US 7152540B1.
Sauder GA, Koch JL, 2011. Planter monitor system and method Patent No. US 8078367B2.
Sauder GA, Plantamura LG, 2014. Seed tube egress-mounted seed sensor Patent No. US 8631749B2.
Schweitzer JM, Walter JD, Peterson JR, 2019. Seeding apparatus and method of determining a seed spacing variability value Patent No. US 10285325B2.
Shearer SA, Pitla SK, 2014. Precision planting and crop thinning. In: Automation: The future of weed control in cropping systems; Young SL & Pierce FJ (eds.). pp: 99-124 Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7512-1_6
Singh RC, Singh G, Saraswat DC, 2005. Optimisation of design and operational parameters of a pneumatic seed metering device for planting cotton seeds. Biosyst Eng 92(4): 429-438. https://doi.org/10.1016/j.biosystemseng.2005.07.002
St Jack D, Hesterman DC, Guzzomi AL, 2013. Precision metering of Santalum spicatum (Australian Sandalwood) seeds. Biosyst Eng 115(2): 171-183. https://doi.org/10.1016/j.biosystemseng.2013.03.004
Staggenborg SA, Taylor RK, Maddux LD, 2004. Effect of planter speed and seed firmers on corn stand establishment. Appl Eng Agric 20(5): 573-580. https://doi.org/10.13031/2013.17457
Steffen R, Wolff R, Iltis R, Albers M, Becker DS, 1999. Effect of two seed treatment coatings on corn planter seeding rate and monitor accuracy. Appl Eng Agric 15(6): 605-608. https://doi.org/10.13031/2013.5824
Tevs NR, Liu JZ, Anderson NW, 2013. Seed sensor system and method for improved seed count and seed spacing Patent No. US 8618465B2.
Tevs NR, Puhalla JS, Garner EB, 2018. Systems for monitoring seeds and methods thereof Patent No. US 9867328B2.
The American Heritage Dictionary, 2020. https://www.ahdictionary.com/ [08 Sep 2020].
Tolón Becerra A, Lastra Bravo X, Nardon GF, Botta GF, 2016. Electronic device for measuring seed spacing for the precision planter test stand Patent No. ES 2543033B2.
Upadhyaya S, Ehsani M, Mattson ML, 2005. Method and apparatus for ultra precise GPS-based mapping of seeds or vegetation during planting Patent No. US 6941225B2.
Väderstad, 2021. Brochure Tempo (Spanish) 992000-VES Ver.04.06. https://www.vaderstad.com/ProductSearchApi/GetProductDataItem?itemno=10022644&filename=MachineBrochures_10022644_Tempo [17 Jan 2022].
Virk SS, Porter WM, Fulton JP, Pate GL, 2019. Field validation of seed meter performance at varying seeding rates and ground speeds. Appl Eng Agric 35(6): 937-948. https://doi.org/10.13031/aea.13132
Weirich Neto PH, Fornari AJ, Justino A, García LC, 2015. Qualidade na semeadura do milho. Eng Agrícola 35(1): 171-179. https://doi.org/10.1590/1809-4430-Eng.Agric.v35n1p171-179/2015
Wilhelmi MJ, Achen CN, Bachman ML, 2014. Seed characteristic sensor Patent No. US 8843281B2.
Wilson D, 2017. Automatic in field variety identification Patent No. US 9756774B1.
Wolfert S, Goense D, Sørensen CAG, 2014. A future internet collaboration platform for safe and healthy food from farm to fork. Ann SRII Global Conf IEEE, San Jose, CA, USA, April. pp. 266-273. https://doi.org/10.1109/SRII.2014.47
Xia L, Wang X, Geng D, Zhang Q, 2010. Performance monitoring system for precision planter based on MSP430-CT171. In: Computer and Computing Technologies in Agriculture IV. IFIP Adv Inform Commun Technol vol 345; Li D et al. (eds). pp: 158-165. Springer. https://doi.org/10.1007/978-3-642-18336-2_19
Yazgi A, Degirmencioglu A, 2014. Measurement of seed spacing uniformity performance of a precision metering unit as function of the number of holes on vacuum plate. Measurement 56: 128-135. https://doi.org/10.1016/j.measurement.2014.06.026
Yin YX, Chen L, Meng Z, Li B, Luo C, Fu W, et al., 2018. Design and evaluation of a maize monitoring system for precision planting. Int J Agric Biol Eng 11(4): 186-192. https://doi.org/10.25165/j.ijabe.20181104.3517
Zambon I, Cecchini M, Egidi G, Saporito MG, Colantoni A, 2019. Revolution 4.0: industry vs. agriculture in a future development for SMEs. Processes 7(1): 36. https://doi.org/10.3390/pr7010036
Zhou L, Wang S, Zhang X, Yuan Y, Zhang J, 2012. Seed monitoring system for corn planter based on capacitance signal. T Chin Soc Agric Eng 28(13): 16-21.
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