Skip to main content

Precision Humidity and Temperature Measuring in Farming Using Newer Ground Mobile Robots

  • Chapter
ROBOT2013: First Iberian Robotics Conference

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 252))

Abstract

Precision farming goal is to maximize the productivity of the crops while minimizing the use of resources. Given that the agricultural technique has evolved along the millenniums, the only real option to keep increasing the agricultural productivity requires the use of technology: currently, many different robots are being used to harvest, plow and identify weeds. This work aims to reduce the environmental invasion the use of these implies, maximizing at the same time the knowledge of the crop status. We propose a new type of environmental-friendly ground mobile robot employed to monitor temperature and humidity in agricultural fields Used as a distributed sensor web. It takes measures of these environmental variables in any specific place required. It also allows to determine zones of the crop with bad irrigation or under germination risks and take corrective actions on time, providing better growing conditions: adequate germination time, faster growing and better efficiency. We present its architecture and a new external module used to measure the temperature and humidity. Beside, we also present two experiments carried out to validate the spherical robot approach: the results obtained first at a cornfield and the second in small orchard in CAR-UPM-CSIC facilities are exposed and analysed.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Billingsley, J., Visala, A., Dunn, M.: Robotics in Agriculture and Forestry, pp. 1065–1077. Springer, Heidelberg (2008)

    Google Scholar 

  2. Bergerman, M., van Henten, E., Billingsley, J., Reid, J., Mingcong, D.: IEEE Robotics and Automation Society Technical Committee on Agricultural Robotics and Automation Robotics Automation. IEEE Magazine, 20–125 (2013)

    Google Scholar 

  3. Bongiovanni, R., Lowenberg-Deboer, J.: Precision Agriculture and Sustainability, pp. 359–387. Kluwer Academic Publishers (2004)

    Google Scholar 

  4. Eaton, R., Katupitiya, J., Siew, K.W., Dang, K.S.: Precision Guidance of Agricultural Tractors for Autonomous Farming. In: 2008 2nd Annual IEEE Systems Conference, pp. 1–8 (2008)

    Google Scholar 

  5. Valente, J., Cruz, A.B., del Cerro, J., Muñoz, D.S.: A waypoint-based mission planner for a farmland coverage with an aerial robot-a precision farming tool. Industriales (2011)

    Google Scholar 

  6. De-An, Z., Jidong, L., Wei, J., Ying, Z., Yu, C.: Design and control of an apple harvesting robot. Biosystems Engineering, 112–122 (2011)

    Google Scholar 

  7. Armour, R.H., Vincent, J.F.V.: Rolling in Nature and Robotics: A Review. Journal of Bionic Engineering, 195–208 (2006)

    Google Scholar 

  8. Ylikorpi, T., Suomela, J.: Ball-shaped robots. In: Climbing & Walking Robots, Towards New Applications, pp. 235–256. Itech, Vienna (2007)

    Google Scholar 

  9. Kayacan, E., Bayraktaroglu, Z., Saeys, W.: Modeling and control of a spherical rolling robot: a decoupled dynamics approach. Robotica, 110 (2011)

    Google Scholar 

  10. Michaud, F., de Lafontaine, J., Caron, S.A.: Spherical Robot for Planetary Surface Exploration. In: Proceeding of the 6th International Symposium on Artificial Intelligence and Robotics & Automation in Space (2001)

    Google Scholar 

  11. Hernández, J.D., Barrientos, J., del Cerro, J., Barrientos, A., Sanz, D.: Moisture measurement in crops using spherical robots. Industrial Robot: An International Journal, 59–66 (2013)

    Google Scholar 

  12. Bierhuizen, J.F., Wagenvoort, W.A.: Some aspects of seed germination in vegetables. 1. The determination and application of heat sums and minimum temperature for germination. Scientia Horticulturae, 213–219 (1974)

    Google Scholar 

  13. Garcia-Huidobro, J., Montheith, J.L., Squire, G.R.: Time, Temperature and Germination of Pearl Millet (Pennisetum typhoides S. & H.): I. Constant Temperature. Journal of Experimental Botany, 288–296 (1982)

    Google Scholar 

  14. Doneen, L.D., MacGillivray, J.H.: Germination (emergence) of vegetable seed as affected by different soil moisture conditions. American Society of Plant Biologists 524 (1943)

    Google Scholar 

  15. Harper, L., Williams, J.T., Sagar, G.R.: The behaviour of seeds in soil: I. The heterogeneity of soil surfaces and its role in determining the establishment of plants from seed. The Journal of Ecology, 273–286 (1965)

    Google Scholar 

  16. Roberts, E.H.: Temperature and seed germination. Symposia of the Society for Experimental Biology 109 (1988)

    Google Scholar 

  17. Dudhia, J.: A multi-layer soil temperature model for MM. Preprint from the Sixth PSU/NCAR Mesoscale Model Users’ Workshop, 22–24 (1996)

    Google Scholar 

  18. Bac, C.W., Hemming, J., van Henten, E.J.: Robust pixel-based classification of obstacles for robotic harvesting of sweet-pepper. Computers and Electronics in Agriculture, 148–162 (2013)

    Google Scholar 

  19. Hollingum, J.: Robots in agriculture. Industrial Robot: An International Journal, 438–446 (1999)

    Google Scholar 

  20. Sevila, F., Baylou, P.: The principles of robotics in agriculture and Horticulture. CAB International (1991)

    Google Scholar 

  21. Sistler, F.: Robotics and intelligent machines in agriculture. IEEE Journal of Robotics and Automation, 3–6 (1987)

    Google Scholar 

  22. Gerrish, J.B., Surbrook, T.C.: Mobile robots in agriculture. American Society of Agricultural Engineer (1984)

    Google Scholar 

  23. Lu, Y., Daughtry, C., Hart, G., Watkins, B.: The current state of precision farming. Food Reviews International, 141–162 (1997)

    Google Scholar 

  24. Valente, J., Sanz, D., Barrientos, A., del Cerro, J., Ribeiro, Á., Rossi, C.: An Air-Ground Wireless Sensor Network for Crop Monitoring. Sensors, 6088–6108 (2011)

    Google Scholar 

  25. Gonzalez-de-Santos, P., Ribeiro, A., Fernandez-Quintanilla, C.: The RHEA Project: using a robot fleet for a highly effective crop protection. In: 1st rhea workshop - RHEA Project - EU (2011)

    Google Scholar 

  26. Lee, W.S., Slaughter, D.C., Giles, D.K.: Robotic Weed Control System for Tomatoes. Precision Agriculture, 95–113 (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Cancar, L., Sanz, D., Hernández, J.D., del Cerro, J., Barrientos, A. (2014). Precision Humidity and Temperature Measuring in Farming Using Newer Ground Mobile Robots. In: Armada, M., Sanfeliu, A., Ferre, M. (eds) ROBOT2013: First Iberian Robotics Conference. Advances in Intelligent Systems and Computing, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-319-03413-3_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-03413-3_32

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03412-6

  • Online ISBN: 978-3-319-03413-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics