Advertisement

Application of the internet of things (IoT) for smart farming: a case study on groundnut and castor pest and disease forewarning

  • Santosh Sam Koshy
  • Venkata Srikanth Sunnam
  • Prateek Rajgarhia
  • Kathiresan Chinnusamy
  • Durga Prasad Ravulapalli
  • Sarada Chunduri
Original Research
  • 6 Downloads

Abstract

Agriculture in India is at the cross roads of transformation and, the induction of modern electronics and ICT solutions can help increase crop productivity and profitability, benefitting small and marginal farmers in India. Specifically, the concept of ‘precision agriculture’ creates the opportunity for internet of things (IoT) technologies, that use sensors and wireless communication to monitor critical parameters such as climate, soil, water, pest and disease. IoT can provide farmers with adequate scientific knowledge to take timely decisions for their crops thereby maximizing yield and income. This paper describes how the IoT can be customized to local needs, particularly adapting to farming conditions of small and marginal farmers in India, to increase crop productivity and for pest and disease surveillance. Two case studies are presented in this paper: an end to end IoT based system for groundnut pest and disease forewarning (leaf miner pest and late leaf spot disease), and a scientific approach for the development of a forewarning model for gray mold disease in castor.

Keywords

Internet of things (IoT) Wireless sensor networks (WSN) Pest and disease forewarning Precision agriculture Decision support advisory systems 

Notes

Acknowledgements

Funding was provided by Department of Agriculture, Government of Andhra Pradesh (Grant No. Lr No. IT CELL/AP/21/2014 Dt 17.04.2015).

References

  1. 1.
    Ashton K (2009) That ‘internet of things’ thing, 4986, 1999. http://www.rfidjournal.com/articles/view. Accessed 9 Apr 2018
  2. 2.
    Ray B (2017) An in-depth look at IoT in agriculture and smart farming solutions. https://www.link-labs.com/blog/iot-agriculture. Accessed 9 Apr 2018
  3. 3.
    CropX Ltd. (2014) https://www.cropx.com/. Accessed 20 May 2018
  4. 4.
    Libelium, Increasing tobacco crops quality by climatic conditions control (2016). http://www.libelium.com/increasing-tobacco-crops-quality-by-climatic-conditions-control/. Accessed 20 May 2018
  5. 5.
    Precision Farming. http://www.claasofamerica.com/product/precision-farming. Accessed 22 May 2018
  6. 6.
    Precisionhawk. https://www.precisionhawk.com/agriculture. Accessed 22 May 2018
  7. 7.
    Shanower TG, Wightman JA, Gutierrez AP (1993) Biology and control of the groundnut leafminer, Aproaerema modicella (Deventer) (Lepidoptera: Gelechiidae). Crop Prot 12(1):3–10.  https://doi.org/10.1016/0261-2194(93)90014-A CrossRefGoogle Scholar
  8. 8.
    Prasad et al (2013) Application of wireless sensor network based decision support system for pest management advisories in groundnut. J Agrometeorol 15(2):21–25Google Scholar
  9. 9.
    Butler DR et al (2000) A weather based scheme to advise on limited chemical control of groundnut leaf spot diseases in India. Exp Agric 36:469–478Google Scholar
  10. 10.
    Das et al (1997) Comparative efficacy of spray schedule against leaf spot/Tikka disease of groundnut. Ann Plant Prot Sci 5:103–107Google Scholar
  11. 11.
    Parvin DW, Smith DH, Crosby FL (1974) Development and evaluation of a computerized forecasting method for Cercospora leaf spot of peanuts. Phytopathology 64:385–388CrossRefGoogle Scholar
  12. 12.
    Jensen RE, Boyle LW (1965) The effect of temperature, relative humidity and precipitation on peanut leaf spot. Plant Dis Rep 49:975–978Google Scholar

Copyright information

© CSI Publications 2018

Authors and Affiliations

  • Santosh Sam Koshy
    • 1
  • Venkata Srikanth Sunnam
    • 1
  • Prateek Rajgarhia
    • 1
  • Kathiresan Chinnusamy
    • 2
  • Durga Prasad Ravulapalli
    • 3
  • Sarada Chunduri
    • 3
  1. 1.C-DACHyderabadIndia
  2. 2.NIRD&PRHyderabadIndia
  3. 3.IIORHyderabadIndia

Personalised recommendations