Assessment of Smart Mechatronics Applications in Agriculture: A Review
Source abstract
Abstract
Smart mechatronics systems in agriculture can be traced back to the mid-1980s, when research into automated fruit harvesting systems began in Japan, Europe, and the United States. Impressive advances have been made since then in developing systems for use in modern agriculture. The aim of this study was to review smart mechatronics applications introduced in agriculture to date, and the different areas of the sector in which they are being employed. Various literature search approaches were used to obtain an overview of the current state-of-the-art, benefits, and drawbacks of smart mechatronics systems. Smart mechatronics modules and various networks applied in the processing of agricultural products were examined. Finally, relationships in the data retrieved were tested using a one-way analysis of variance on keywords and sources. The review revealed limited use of sophisticated mechatronics in the agricultural industry in practice at a time of falling production rates and a dramatic decline in the reliability of the global food supply. Smart mechatronics systems could be used in different agricultural enterprises to overcome these issues.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Smart Agriculture and AI · Plant Disease Management Techniques · Food Supply Chain Traceability
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering, Mizan Tepi University, Tepi P.O. Box 120, Ethiopia
Department of Energy and Technology, Swedish University of Agricultural Sciences, P.O. Box 7032, 750 07 Uppsala, Sweden
High School of Automation and Robotics, Peter the Great Saint Petersburg Polytechnic University, 195220 Saint Petersburg, Russia
References (88)
Show source-provided references
1. Precision agriculture: Tomorrow’s technology for today’s farmer
2. Khan, N., Ray, R.L., Kassem, H.S., and Zhang, S. (2022). Mobile Internet Technology Adoption for Sustainable Agriculture: Evidence from Wheat Farmers. Appl. Sci., 12.10.3390/app12104902 ↗
3. System assessment of WUSN using NB-IoT UAV-aided networks in potato crops10.1109/ACCESS.2020.2982086 ↗
4. Li, M., Shamshiri, R.R., Schirrmann, M., and Weltzien, C. (2021). Impact of camera viewing angle for estimating leaf parameters of wheat plants from 3D point clouds. Agriculture, 11.10.3390/agriculture11060563 ↗
5. Small scale Plant Factories with Artificial Lighting and wind energy microgeneration: A multiple revenue stream approach10.1016/j.jclepro.2020.120227 ↗
6. Economic analysis of agricultural soil carbon sequestration: An integrated assessment approach
7. Hasan, M., Tanawala, B., and Patel, K.J. (2019, January 8–9). Deep learning precision farming: Tomato leaf disease detection by transfer learning. Proceedings of the 2nd International Conference on Advanced Computing and Software Engineering (ICACSE), Sultanpur, India.10.2139/ssrn.3349597 ↗
8. CubeSat constellations provide enhanced crop phenology and digital agricultural insights using daily leaf area index retrievals10.1038/s41598-022-09376-6 ↗
9. Jiang, J., Zheng, H., Ji, X., Cheng, T., Tian, Y., Zhu, Y., Cao, W., Ehsani, R., and Yao, X. (2019). Analysis and evaluation of the image preprocessing process of a six-band multispectral camera mounted on an unmanned aerial vehicle for winter wheat monitoring. Sensors, 19.10.3390/s19030747 ↗
10. Printed sensor technologies for monitoring applications in smart farming: A review10.1109/TIM.2021.3112234 ↗
11. Abba, S., Wadumi Namkusong, J., Lee, J.-A., and Liz Crespo, M. (2019). Design and performance evaluation of a low-cost autonomous sensor interface for a smart iot-based irrigation monitoring and control system. Sensors, 19.10.3390/s19173643 ↗
12. Potato production in aeroponics: An emerging food growing system in sustainable agriculture forfood security10.4067/S0718-58392020000100118 ↗
13. Odysseys of agriculture sensors: Current challenges and forthcoming prospects10.1016/j.compag.2020.105328 ↗
14. Direct interaction of a divergent CaM isoform and the transcription factor, MYB2, enhances salt tolerance in Arabidopsis10.1074/jbc.M408237200 ↗
15. Molecular markers associated with water use efficiency and leaf ash in soybean10.2135/cropsci1996.0011183X003600050030x ↗
16. Graham, G.A. (1986). A Farming Systems Research Bibliography of Kansas State University’s Vertical File Materials: Revised, Kansas State University.
17. Kumar, V., Mahajan, G., and Chauhan, B.S. (2017). Rice Production Worldwide, Springer.10.1007/978-3-319-47516-5_3 ↗
18. Design and Development of Mechatronic Application in Agricultural Irrigation Device10.4236/wjet.2016.43045 ↗
19. Does carbon farming provide a cost-effective option to mitigate GHG emissions? Evidence from China10.1111/1467-8489.12306 ↗
20. The impact of population pressure on global fertiliser use intensity, 1970–2011: An analysis of policy-induced mediation10.1016/j.techfore.2019.119895 ↗
21. Does internet use improve technical efficiency of banana production in China? Evidence from a selectivity-corrected analysis10.1016/j.foodpol.2021.102044 ↗
22. Information and Communication Technology Adoption Strategies of Emerging Multinationals From India10.4018/JGIM.20210901.oa9 ↗
23. Increasing Ghanaian fish farms’ productivity: Does the use of the internet matter?10.1016/j.marpol.2020.104385 ↗
24. Does Internet use improve technical efficiency? Evidence from apple production in China10.1016/j.techfore.2021.120662 ↗
25. The role of information and communications technology (ICT) in enhancing service sector productivity in Palestine: An international perspective10.4018/JGIM.2019010103 ↗
26. Hydroponic technology as decentralised system for domestic wastewater treatment and vegetable production in urban agriculture: A review10.1016/j.scitotenv.2019.134154 ↗
27. Fuzzy logic based smart irrigation system using internet of things10.1016/j.jclepro.2019.119902 ↗
28. A review on hydroponic greenhouse cultivation for sustainable agriculture
29. Simulation of greenhouse climate monitoring and control with wireless sensor network and event-based control10.3390/s90100232 ↗
30. Sott, M.K., Nascimento, L.d.S., Foguesatto, C.R., Furstenau, L.B., Faccin, K., Zawislak, P.A., Mellado, B., Kong, J.D., and Bragazzi, N.L. (2021). A bibliometric network analysis of recent publications on digital agriculture to depict strategic themes and evolution structure. Sensors, 21.10.3390/s21237889 ↗
31. Karpagam, J., Merlin, I.I., Bavithra, P., and Kousalya, J. (2020, January 6–7). Smart irrigation system using IoT. Proceedings of the 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India.10.1109/ICACCS48705.2020.9074201 ↗
32. Fareed, A., Ullah, M.G., Hussain, A., Zaidi, M., and Baig, M. (2017, January 15–16). Smart irrigation care unit. Proceedings of the 2017 First International Conference on Latest Trends in Electrical Engineering and Computing Technologies (INTELLECT), Karachi, Pakistan.10.1109/INTELLECT.2017.8277640 ↗
33. IoT Based Smart Agriculture and Plant Disease Prediction10.1088/1742-6596/2115/1/012017 ↗
34. Arogundade, O., Qudus, R., Abayomi-Alli, A., Misra, S., Agbaegbu, J., and Akinwale, A. (2021, January 24–27). A Mobile-Based Farm Machinery Hiring System. Proceedings of the Second International Conference on Computing, Communications, and Cyber-Security, Delhi, India.10.1007/978-981-16-0733-2_15 ↗
35. Karmokar, C., Hasan, J., Khan, S.A., Alam, M., and Arduino, I.I. (2018, January 27–28). UNO based smart irrigation system using GSM module, soil moisture sensor, sun tracking system and inverter. Proceedings of the 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET), Chittagong, Bangladesh.10.1109/ICISET.2018.8745597 ↗
36. Solar powered microcontroller-based automated irrigation system with moisture sensors10.1088/1742-6596/1378/3/032003 ↗
37. Agro-based sensor’s deployment for environmental anticipation: An experimental effort for minimal usage of water within agricultural practices
38. Agricultural robots for field operations: Concepts and components10.1016/j.biosystemseng.2016.06.014 ↗
39. Agricultural robots for field operations. Part 2: Operations and systems10.1016/j.biosystemseng.2016.11.004 ↗
40. Thomasson, J.A., Baillie, C.P., Antille, D.L., Lobsey, C.R., and McCarthy, C.L. (2019). Autonomous Technologies in Agricultural Equipment: A Review of the State of the Art, American Society of Agricultural and Biological Engineers.
41. Use of real-time extend GNSS for planting and inverting peanuts10.1007/s11119-018-9616-z ↗
42. Bochtis, D., Sorensen, C.G., and Kateris, D. (2018). Operations Management in Agriculture, Academic Press.10.1016/B978-0-12-809786-1.00006-0 ↗
43. Khan, N., Ray, R.L., Kassem, H.S., Hussain, S., Zhang, S., Khayyam, M., Ihtisham, M., and Asongu, S.A. (2021). Potential Role of Technology Innovation in Transformation of Sustainable Food Systems: A Review. Agriculture, 11.10.3390/agriculture11100984 ↗
44. Overview of edge computing in the agricultural internet of things: Key technologies, applications, challenges10.1109/ACCESS.2020.3013005 ↗
45. Khan, N., Ray, R.L., Sargani, G.R., Ihtisham, M., Khayyam, M., and Ismail, S. (2021). Current Progress and Future Prospects of Agriculture Technology: Gateway to Sustainable Agriculture. Sustainability, 13.10.3390/su13094883 ↗
46. Embedded digital display and warning system of velocity ratio and wheel slip for tractor operated active tillage implements10.1016/j.jterra.2021.06.003 ↗
47. A review of the applications of the internet of things (IoT) for agricultural automation10.1007/s42853-020-00078-3 ↗
48. Food security and the 2015–2030 sustainable development goals: From human to planetary health: Perspectives and opinions10.3945/cdn.117.000513 ↗
49. Reza Anik, A., Rahman, S., and Sarker, J.R. (2020). Five Decades of Productivity and Efficiency Changes in World Agriculture (1969–2013). Agriculture, 10.10.3390/agriculture10060200 ↗
50. Internet of Things is a revolutionary approach for future technology enhancement: A review10.1186/s40537-019-0268-2 ↗
51. Kumar, N., Upadhyay, G., Choudhary, S., Patel, B., Naresh Chhokar, R.S., and Gill, S.C. (2023). Enhancing Resilience of Dryland Agriculture under Changing Climate: Interdisciplinary and Convergence Approaches, Springer Nature.
52. Advantages and disadvantages of control theories applied in greenhouse climate control systems10.5424/sjar/2012104-487-11 ↗
53. Proactive energy management of solar greenhouses with risk assessment to enhance smart specialisation in China10.1016/j.biosystemseng.2017.03.007 ↗
54. Energy sustainability performance of a sliding cover solar greenhouse: Solar energy capture aspects10.1016/j.biosystemseng.2018.10.008 ↗
55. User Friendly with Zigbee Technology Control Agricultural Automation using Lab view
56. Bersani, C., Ruggiero, C., Sacile, R., Soussi, A., and Zero, E. (2022). Internet of Things Approaches for Monitoring and Control of Smart Greenhouses in Industry 4.0. Energies, 15.10.3390/en15103834 ↗
57. Aafreen, R., Neyaz, S.Y., Shamim, R., and Beg, M.S. (2019, January 8–10). An IoT based system for telemetry and control of Greenhouse environment. Proceedings of the 2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON), Aligarh, India.10.1109/UPCON47278.2019.8980258 ↗
58. Trendov, M., Varas, S., and Zeng, M. (2019). Digital Technologies in Agriculture and Rural Areas: Status Report.
59. Monitoring and assessing fruit freshness in IOT-based e-commerce delivery using scenario analysis and interval number approaches10.1016/j.ins.2016.07.014 ↗
60. General review of intelligent agriculture development in China10.1108/CAER-05-2017-0093 ↗
61. Analyzing mobile phone usage in agricultural modernization and rural development10.33687/ijae.008.02.3255 ↗
62. High arsenic contamination and presence of other trace metals in drinking water of Kushtia district, Bangladesh10.1016/j.jenvman.2019.04.086 ↗
63. Sivarethinamohan, R., Yuvaraj, D., Priya, S.S., and Sujatha, S. (2021). International Conference on Intelligent Computing & Optimization, Springer.
64. Socio-economic factors affecting adoption of modern information and communication technology by farmers in India: Analysis using multivariate probit model10.1080/1389224X.2014.997255 ↗
65. Helfer, G.A., Barbosa, J.L., Alves, D., da Costa, A.B., Beko, M., and Leithardt, V.R. (2021). Multispectral cameras and machine learning integrated into portable devices as clay prediction technology. J. Sens. Actuator Netw., 10.10.20944/preprints202105.0630.v1 ↗
66. Bus: A blockchain-enabled data acquisition scheme with the assistance of uav swarm in internet of things10.1109/ACCESS.2019.2930774 ↗
67. Data management and internet of things: A methodological review in smart farming10.1016/j.iot.2021.100378 ↗
68. Fog IoT for Health: A new Architecture for Patients and Elderly Monitoring10.1016/j.procs.2019.11.087 ↗
69. A new edge architecture for ai-iot services deployment10.1016/j.procs.2020.07.006 ↗
70. Terenzi, A., Cecchi, S., and Spinsante, S. (2020). On the importance of the sound emitted by honey bee hives. Vet. Sci., 7.10.3390/vetsci7040168 ↗
71. Cecchi, S., Spinsante, S., Terenzi, A., and Orcioni, S. (2020). A smart sensor-based measurement system for advanced bee hive monitoring. Sensors, 20.10.3390/s20092726 ↗
72. Edge computing and artificial intelligence for real-time poultry monitoring10.1016/j.procs.2020.07.076 ↗
73. Monitoring system using internet of things for potential landslides10.1016/j.procs.2018.07.140 ↗
74. Beemon: An IoT-based beehive monitoring system10.1016/j.compag.2021.106427 ↗
75. Cloud and distributed architectures for data management in agriculture 4.0: Review and future trends
76. Internet of Things in arable farming: Implementation, applications, challenges and potential10.1016/j.biosystemseng.2019.12.013 ↗
77. Industry 4.0 disruption and its neologisms in major industrial sectors: A state of the art
78. AgriFusion: An architecture for IoT and emerging technologies based on a precision agriculture survey10.1109/ACCESS.2021.3116814 ↗
79. Time Preferences and green agricultural technology adoption: Field evidence from rice farmers in China10.1016/j.landusepol.2021.105627 ↗
80. Li, H., Huang, D., Ma, Q., Qi, W., and Li, H. (2019). Factors influencing the technology adoption behaviours of litchi farmers in China. Sustainability, 12.10.3390/su12010271 ↗
81. Household-owned farm machinery vs. outsourced machinery services: The impact of agricultural mechanization on the land leasing behavior of relatively large-scale farmers in China10.1016/j.landusepol.2022.106008 ↗
82. Conservation tillage or plastic film mulching? A comprehensive global meta-analysis based on maize yield and nitrogen use efficiency10.1016/j.scitotenv.2022.154869 ↗
83. Risk aversion, cooperative membership and the adoption of green control techniques: Evidence from China10.1016/j.jclepro.2020.123288 ↗
84. Toward carbon neutrality before 2060: Trajectory and technical mitigation potential of non-CO2 greenhouse gas emissions from Chinese agriculture10.1016/j.jclepro.2022.133186 ↗
85. Gözütok, M.E. (2010). Designing Programmable Logic Controller for Data Acquisition and Control. [Ph.D. Thesis, Izmir Institute of Technology (Turkey)].
86. Searchinger, T., Waite, R., Hanson, C., Ranganathan, J., Dumas, P., Matthews, E., and Klirs, C. (2019). Creating a Sustainable Food Future: A Menu of Solutions to Feed Nearly 10 Billion People by 2050. Final Report, WRI.
87. Focus: Nutrition and Food Science: Food Sustainability in the Context of Human Behavior
88. Emergent food proteins–Towards sustainability, health and innovation10.1016/j.foodres.2019.108586 ↗