Instrumentation applied in agricultural machines: systematic literature review




Agriculture; Precision agriculture; Agricultural instrumentation; Agricultural machinery.


In order to analyze the publications on the use of instrumentation in agriculture, the objective of this paper is to present a set of works published between 2017 and 2021 on the subject so that an analysis of the technologies developed during this period can be carried out. For this, a search was carried out in the IEEE, Science Direct and Scopus databases, where 1490 published articles were found using a search string to select papers considering theme, year of publication. In view of this result, the Start software was used to apply selection criteria to choose the articles to be used in the review. After performing all the steps of selection of works in the software, the result was 33 papers carrying out the Systematic Review. Of the 33 articles, the work methods and the result obtained by the author are presented, thus enabling an analysis of the technologies researched during the study period.


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Dusadeerungsikul, P. O. & NOF, S. Y. (2019). A collaborative control protocol for agricultural robot routing with online adaptation, Computers Industrial Engineering, 135, 456-466.

Espejo, G. B. Martinez, G. J. Pérez, R. M. Lopez, P. F.J. & Javier, Z. F. (2018). Machine learning for automatic rule classification of agricultural regulations: a case study in Spain. Comput Electron Agric. 150: 343–352.

Gupta, C. Tewari, V.K. Kumar, A. A. & Shrivastava, P. (2019). Automatic tractor slip-draft embedded control system, Computers and Electronics in Agriculture, 165.

Han, X. Kim, H. Jeon, C. W. Moon, H. C. Kim, J. H. & Yi, S. Y. (2019). Application of a 3D tractor-driving simulator for slip estimation-based path-tracking control of auto-guided tillage operation, Biosystems Engineering, 178, 70-85.

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İrsel, G. M.; & Altinbalik, T. (2018). Adaptation of tilt adjustment and tracking force automation system on a laser-controlled land leveling machine, Computers and Electronics in Agriculture, 150, 374-386.

Kim, J. Kim, S. Ju, C. & Son, H. I. (2019). Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications, IEEE Access, 7, 105100-105115.

Kim, Y Chung, S., & Choi, C.H. (2018). Development of automation technology for manual transmission of a 50 HP autonomous tractor. IFAC-PapersOnLine. 51. 20-22.

Kumar, A. A. Tewari, V.K. Nare, B. Chetan, C.R. Srivastava, P. & Kumar, S. P. (2017). Embedded Digital Drive Wheel Torque Indicator For Agricultural 2WD Tractors. Computers and electronics in agriculture, 139, 91-102.

Lee, J. Kim, H. Cho, B Choi, J., & Kim, Y. (2018). Road Bump Detection Using LiDAR sensor for Semi-Active Control of Front Axle Suspension in an Agricultural Tractor. IFAC-PapersOnLine. 51, 124-129.

Li, S. Xu, H. Ji, Y. Cao, R Zhang, M. & Li, H. (2019). Development of a following agricultural machinery automatic navigation system, Comput. Electron. Agricult., 158, 335-344.

Lu, W. Wei, Y. Yuan, J. Deng, Y. & Song, A. (2020). Tractor Assistant Driving Control Method Based on EEG Combined With RNN-TL Deep Learning Algorithm, IEEE Access, 8, 163269-163279.

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Mattetti, M. Molari, G. & Sereni, E. (2017). Damage Evaluation Of Driving Events For Agricultural Tractors. Computers and Electronics in Agriculture, 135, 328–337.

Mattetti, M. Maraldi, M. Lenzini, N. Fiorati, S. Sereni. E. & Molari, G. (2021). Outlining the mission profile of agricultural tractors through CAN-BUS data analytics, Computers and Electronics in Agriculture, 184, 106078.

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Perz, R. & Wronowski, K. (2018). UAV application for precision agriculture, Aircraft Engineering and Aerospace Technology, 91, 257-263.

Rajabi-Vandechali, M. Abbaspour-Fard, M. & Rohani, A. (2018). Development of a prediction model for estimating tractor engine torque based on soft computing and low cost sensors. Measurement. 121, 83-95.

Rajkumar, S. Arun M. Hirwani, J. & Sanjeev, S. (2018). Predictive analysis of crops cultivation for a smart green environment using azure services. International Journal of Recent Technology and Engineering (IJRTE). 7, 295-298.

Raikwar, S. Wani, L. J. Kumar, S. A. & Rao, M. S. (2019). Hardware-in-the-Loop test automation of embedded systems for agricultural tractors, Measurement, 133, 271-280.

Ranjbarian, S.; Askari, M.; & Jannatkhah, J. (2017) Performance of tractor and tillage implements in clay soil. Journal of the Saudi Society of Agricultural Sciences, 16(2), 154-162.

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How to Cite

ARANHA, T. S. .; MOLLO NETO, M. .; RODRIGUEIRO, M. M. da S. .; MORAIS, F. J. de O. .; SANTOS, P. S. B. dos . Instrumentation applied in agricultural machines: systematic literature review. Research, Society and Development, [S. l.], v. 10, n. 17, p. e22101724247, 2021. DOI: 10.33448/rsd-v10i17.24247. Disponível em: Acesso em: 24 jan. 2022.