Skip to main content

Smart Farming: Intelligent Management Approach for Crop Inspection and Evaluation Employing Unmanned Aerial Vehicles

  • Conference paper
  • First Online:
Book cover Proceedings of the Fourteenth International Conference on Management Science and Engineering Management (ICMSEM 2020)

Abstract

This work presents an unmanned aerial vehicle management platform encompassed in the concept of smart farming. Automates inspections of different \(\text {crops}\) and monitors the status of the plantation is done by IoT, analyzing an area on an online map that provides air and weather restrictions. Intelligent route management algorithms are employed to generate the optimal inspection route and waypoints, maximizing the multispectral images capture. These multispectral images can be subsequently processed according to algorithms based on phytosanitary index formulas and regressions obtained with artificial neural networks. Reports are generated with analysis of the results by this approach, for example: optimal collection time, water stress, maturity index, etc.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Borlu, Y., Glenna, L.: Environmental concern in a capitalist economy: climate change perception among US specialty-crop producers. Organ. Environ., 1086026618897545 (2020)

    Google Scholar 

  2. Chopde, N.R., Nichat, M.K.: Landmark based shortest path detection by using A* and Haversine formula. Int. J. Innov. Res. Comput. Commun. Eng. 1(2), 298–302 (2013)

    Google Scholar 

  3. De Janvry, A., Sadoulet, E.: How experimental research in agriculture has gone from lab to field. World Dev. 127(104), 782 (2020)

    Google Scholar 

  4. Herraiz, Á.H., Marugán, A.P.: Remotely operated vehicle applications. In: Non-destructive Testing and Condition Monitoring Techniques for Renewable Energy Industrial Assets, pp. 119–132 (2015)

    Google Scholar 

  5. Klerkx, L., Rose, D.: Dealing with the game-changing technologies of agriculture 4.0: how do we manage diversity and responsibility in food system transition pathways? Glob. Food. Secur.-Agric. 24, 100–347 (2020)

    Google Scholar 

  6. Lee, S.: Role of social and solidarity economy in localizing the sustainable development goals. Int. J. Sustain. Devel. World Ecol. 27(1), 65–71 (2020)

    Article  Google Scholar 

  7. Ma, T., Li, P., Ma, T.: A three-dimensional cartesian mesh generation algorithm based on the GPU parallel ray casting method. Appl. Sci. 10(1), 58 (2020)

    Article  Google Scholar 

  8. Márquez, F.P.G.: An approach to remote condition monitoring systems management. In: IET International Conference on Railway Condition Monitoring (2006)

    Google Scholar 

  9. Márquez, F.P.G., Muñoz, J.M.C.: A pattern recognition and data analysis method for maintenance management. Int. J. Syst. Sci. 43(6), 1014–1028 (2012)

    Article  Google Scholar 

  10. Márquez, F.P.G., Pardo, I.P.G.: Principal component analysis applied to filtered signals for maintenance management. Qual. Reliab. Eng. Int. 26(6), 523–527 (2010)

    Article  Google Scholar 

  11. Márquez, F.P.G., Pedregal, D.J.: Applied RCM 2 algorithms based on statistical methods. Int. J. Autom. Comput. 4(2), 109–116 (2007)

    Article  Google Scholar 

  12. Márquez, F.P.G., Ramírez, I.S.: Condition monitoring system for solar power plants with radiometric and thermographic sensors embedded in unmanned aerial vehicles. Measurement 139, 152–162 (2019)

    Article  Google Scholar 

  13. Márquez, F.P.G., Pardo, I.P.G., Nieto, M.R.M.: Competitiveness based on logistic management: a real case study. Ann. Oper. Res. 233(1), 157–169 (2015)

    Article  MathSciNet  Google Scholar 

  14. Marugán, A.P., Márquez, F.P.G.: Advanced analytics for detection and diagnosis of false alarms and faults: a real case study. Wind Energy 22(11), 1622–1635 (2019)

    Article  Google Scholar 

  15. Marugán, A.P., Márquez, F.P.G., Lev, B.: Optimal decision-making via binary decision diagrams for investments under a risky environment. Int. J. Prod. Res. 55(18), 5271–5286 (2017)

    Article  Google Scholar 

  16. Moraleda, V.B., Marugán, A.P., Márquez, F.P.G.: Acoustic maintenance management employing unmanned aerial vehicles in renewable energies. In: International Conference on Management Science and Engineering Management, pp 969–981. Springer (2018)

    Google Scholar 

  17. Muñoz, C.Q.G., Gonzalo, A.P., et al.: Online fault detection in solar plants using a wireless radiometer in unmanned aerial vehicles. In: International Conference on Management Science and Engineering Management, pp. 1161–1174. Springer (2017)

    Google Scholar 

  18. Muñoz, C.Q.G., Jiménez, A.A., Márquez, F.P.G.: Wavelet transforms and pattern recognition on ultrasonic guides waves for frozen surface state diagnosis. Renew. Energy 116, 42–54 (2018)

    Article  Google Scholar 

  19. Pedregal, D.J., García, F.P., Roberts, C.: An algorithmic approach for maintenance management based on advanced state space systems and harmonic regressions. Ann. Oper. Res. 166(1), 109–124 (2009)

    Article  MathSciNet  Google Scholar 

  20. Pliego, A., Márquez, F.P.G.: Big data and web intelligence: improving the efficiency on decision making process via BDD. In: Big Data: Concepts, Methodologies, Tools, and Applications, pp. 229–246. IGI Global (2016)

    Google Scholar 

  21. Ramírez, I.S., Marugán, A.P., Márquez, F.P.G.: Remotely piloted aircraft system and engineering management: a real case study. In: International Conference on Management Science and Engineering Management, pp. 1173–1185. Springer (2018)

    Google Scholar 

  22. Ramírez, I.S., Sánchez, P.J.B., et al.: Autonomous underwater vehicles inspection management: optimization of field of view and measurement process. In: 13th International Conference on Industrial Engineering and Industrial Management, Servicio de Publicaciones de la Universidad de Oviedo (2019)

    Google Scholar 

  23. Segovia, I., Pliego, A., et al.: Optimal management of marine inspection with autonomous underwater vehicles. In: International Conference on Management Science and Engineering Management, pp. 760–771. Springer (2019)

    Google Scholar 

  24. Wu, W.Y.: Dominant point detection using adaptive bending value. Image Vis. Comput. 21(6), 517–525 (2003)

    Article  Google Scholar 

  25. Zaman, N., Seliaman, M.E., et al.: Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence. Information Science Reference, Pennsylvania (2015)

    Book  Google Scholar 

  26. Zheng, C., Li, L., et al.: Evolutionary route planner for unmanned air vehicles. IEEE Trans. Rob. 21(4), 609–620 (2005)

    Article  Google Scholar 

Download references

Acknowledgements

The work reported herewith has been financially by the Dirección General de Universidades, Investigación e Innovación of Castilla-La Mancha, under Research Grant (Ref.: SBPLY/19/180501/000102).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fausto Pedro Garcia Marquez .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gómez Muñoz, C.Q., Paredes Alvarez, C., Garcia Marquez, F.P. (2021). Smart Farming: Intelligent Management Approach for Crop Inspection and Evaluation Employing Unmanned Aerial Vehicles. In: Xu, J., Duca, G., Ahmed, S., García Márquez, F., Hajiyev, A. (eds) Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. ICMSEM 2020. Advances in Intelligent Systems and Computing, vol 1191. Springer, Cham. https://doi.org/10.1007/978-3-030-49889-4_11

Download citation

Publish with us

Policies and ethics