A Review on Smart Irrigation System: Sugarcane Diseases Detection Using Raspberry-pi

Authors

  • Jagannath Kannale  Asst. Professor, Department of Electrical & Electronics Engineering, Lingaraj appa engineering college, Bidar, Karnataka, India
  • Sangappa K Rajeshwer  Assistant Professor and HOD Department of Electrical and Electronics Engineering Lingaraj Appa Engineering College, Bidar, Karnataka, India

Keywords:

Raspberry Pi (Rpi), Sensors, Web camera, Web Design, Irrigation, sugarcane Leaf disease detection, OpenCV, Qt, pesticide spray

Abstract

Sugarcane is the one of the most important commercial crop of India. It is widely grown by the formers for their big margin profit. It has lot of by- products. India stands second in the product of sugarcane followed by Brazil. It requires lots of water for their cultivation and it is highly fragile to the diseases like fungal infection. In India it is highly grown in UP. Identification of sugarcane diseases is the key to preventing the losses in the sugarcane products [6]. If proper care is not taken then it causes serious effects on sugarcane plants due to which effects on quality and quantity of sugarcane products. The identification of sugarcane disease through some automatic technique is beneficial it reduces large work of monitoring in big forms of crops. This paper also present automated irrigation system in this system raspberry pi used as embedded Linux board. The system has sensors network of soil moisture, temperature and humidity sensors. Soil moisture reached particular vale then message send to the owner and automatic water motor ON. If Temperature and humidity reach particular vale then owner make pesticide motor ON or OFF on his smart phone or on web page.

References

  1. M.Usha Rani and S.Kamalesh, “Web Based Service to Monitor Automatic Irrigation System for the Agriculture Field Using Sensors,” Advances in Electrical Engineering (ICAEE), 2014 International Conference on 9-11 Jan. 2014
  2. Nattapol Kaewmard and Saiyan Saiyod, “Sensor Data Collection and Irrigation Control on Vegetable Crop Using Smart Phone and Wireless Sensor Networks for Smart Farm,” 2014 IEEE Conference on Wireless Sensors (ICWiSE), October, 26-28 2014
  3. Pravina B. Chikankar and Deepak Mehetre, “An Automatic Irrigation System using ZigBee in Wireless Sensor Network,” 2015 International Conference on Pervasive Computing (ICPC)
  4. Pandurang H. Tarange, Rajan G. Mevekari and Prashant A. Shinde, “Web based Automatic Irrigation System using wireless sensor network and Embedded Linux board,” 2015 International Conference on Circuit, Power and Computing Technologies [ICCPCT]
  5. Jagadeesh D. Pujari, Rajesh Yakkundimath and Abdulmunaf S.Byadgi, “Identification and Classification of Fungal disease Affected on Agriculture/Horticulture Crops using Image Processing Techniques,” 2014 IEEE International Conference on Computational Intelligence and Computing Research
  6. Evy Kamilah Ratnasari, Mustika Mentari, Ratih Kartika Dewi and R. V. Hari Ginardi, “Sugarcane Leaf Disease Detection and Severity Estimation Based On Segmented Spots Image,” Information, Communication Technology and System (ICTS), 2014 International Conference on 24-24 Sept. 2014
  7. Sachin D. Khirade and A. B. Patil, “Plant Disease Detection Using Image Processing,” 2015 International Conference on Computing Communication Control and Automation
  8. Gutierrez, J; Villa-Medina, J.F; Nieto-Garibay, A; Porta-Gandara, M.A, "Automated Irrigation System Using a Wireless Sensor Network and GPRS Module," Instrumentation and Measurement, IEEE Transactions on , vol.63, no.1, pp.166,176, Jan. 2014.
  9. Yunseop Kim; Evans, R.G; Iversen, W.M, "Remote Sensing and Control of an Irrigation System Using a Distributed Wireless Sensor Network," Instrumentation and Measurement, IEEE Transactions on , vol.57, no.7, pp.1379,1387, July 2008
  10. W. A. Jury and H. J. Vaux, “The emerging global water crisis: Managingscarcity and conflict between water users,” Adv. Agronomy, vol. 95, pp. 1–76, Sep. 2007.
  11. Mirabella, O.; Brischetto, M., "A Hybrid Wired/Wireless Networking Infrastructure for Greenhouse Management," Instrumentation and Measurement, IEEE Transactions on vol.60, no.2, pp.398,407, Feb. 2011.
  12. Wark, T; Corke, P; Sikka, P; Klingbeil, L; Ying Guo; Crossman, C; Valencia, P; Swain, D.; Bishop-Hurley, G, "Transforming Agriculture through Pervasive Wireless Sensor Networks," Pervasive Computing, IEEE , vol.6, no.2, pp.50,57, April-June 2007.
  13. Piyush Chaudhary et al. “Color Transform Based Approach for Disease Spot Detection on Plant Leaf”, International Journal of Computer Science and Telecommunications, Volume 3, Issue 6, June 2012
  14. Savita N. Ghaiwat, Parul Arora “Detection and Classification of Plant Leaf Diseases Using Image processing Techniques: A Review”, International Journal of Recent Advances in Engineering & Technology, ISSN (Online): 2347 - 2812, Volume-2, Issue - 3, 2014
  15. Prof. Sanjay B. Dhaygude, Mr.Nitin P.Kumbhar “Agricultural plant Leaf Disease Detection Using Image Processing” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 2, Issue 1, January 2013
  16. Mrunalini R. Badnakhe and Prashant R. Deshmukh” An Application of K-Means Clustering and Artificial Intelligence in Pattern Recognition for Crop Diseases”, International Conference on Advancements in Information Technology 2011 IPCSIT vol.20 (2011)
  17. Keri Woods. ”Genetic Algorithms: Colour Image Segmentation Literature Review”, July 24, 2007.
  18. Piyush Chaudhary et al. “Color Transform Based Approach for Disease Spot Detection on Plant Leaf”, International Journal of Computer Science and Telecommunications ,Volume 3, Issue 6, June 2012
  19. Chandan kumar sahu and Pramitee Behera, “A Low Cost Smart Irrigation Control System,” ieee sponsored 2nd international conference on electronics and communication system (icecs 2015)
  20. Vijai Singh, Varsha and Prof. A K Misra, “Detection of unhealthy region of plant leaves using Image Processing and Genetic Algorithm,” 2015 International Conference on Advances in Computer Engineering and Applications (ICACEA)

IInternational Journal of Scientific Research in Mechanical and Materials Engineering

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Published

2023-07-31

Issue

Volume 7, Issue 4, July-August-2023

Section

Research Articles

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How to Cite

[1]
Jagannath Kannale, Sangappa K Rajeshwer, " A Review on Smart Irrigation System: Sugarcane Diseases Detection Using Raspberry-pi, IInternational Journal of Scientific Research in Mechanical and Materials Engineering(IJSRMME), ISSN : 2456-3307, Volume 7, Issue 4, pp.31-38, July-August-2023.