Automated Farming System Using Distributed Controller: A Feasibility Study


  • Mohammad Mahbubur Rashid International Islamic University Malaysia image/svg+xml
  • Alioune Sall International Islamic University Malaysia image/svg+xml
  • Tahsin F Hasan


Communication planning,, tools, Factors affecting the quality and method


Abstract— Agriculture is fundamental to a human being because it has itranted humanity's evolution. It is among the essential activities that ensure the development of the human being. So, it is capital to ensure good work and the efficiency of agricultural production. Thus, the research is focused on the domain of agriculture automation to increase the agriculture production yield with less water consumption and less risk in Africa, particularly in Senegal, where agriculture delays reaching food self-sufficiency because of rudimentary materials. The farmers are using a hilar, plough, and hoe for doing their daily tasks. The watering can still be used to water a large area of crops and is done randomly. The chemical pesticide is done manually using a manual sprayer, which causes enormous risks of diseases to the farmers and destroys the field and even the crops. This thesis describes an approach to automated farming by the use of a Sprayer Robot based on Arduino. Besides the Sprayer Robot, the paper also presents an automated irrigation system based on the Senegalese climatic parameters and soil textures through CROPWAT and CLIMWAT. The automatic irrigation system is done with a programmable logic controller, the master controller of the overall design, including the Sprayer Robot. Moreover, a SCADA graphical interface is also implemented for the monitoring of the whole system. The project, tested in simulation with the CROPWAT and CLIMWAT data, could give no reduction yield if applied and also reduced risk of diseases due to chemicals.


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Alexandratos, N., & Bruinsma, J. (2012). WORLD AGRICULTURE TOWARDS 2030 / 2050 The 2012 Revision. (12).

Bayle, B. (2012). Robotique mobile Quels robots mobiles ? Bogaerts Greenhouse Logistics. (2019). Qii-Jet - Greenhouse spraying robot with tank.

Camilo Jiménez M, J. R. C. L. and C. A. P. C. (2018). Irrigation System Designed with SCADA and Wireless Sensor Network Applied to the Colombian Environment. Indian

Journal of Science and Technology, Vol 11(34). 10.17485/ijst/2018/v11i34/131454

Chetan Dwarkani, M., Ganesh Ram, R., Jagannathan, S., & Priyatharshini, R. (2015). Smart farming system using sensors for agricultural task automation. Proceedings - 2015 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development.

Daps. (2013). Rapport de l ’ etude sur l ’ evolution du secteur agricole , des conditions de vie des menages et de la vie chere au senegal.

Dejan. (2016). How To Configure and Pair Two HC-05 Bluetooth Modules as Master and Slave | AT Commands. Retrieved from

Fabio Rodrigues de Miranda. (2003). A Distributed Control System for Priority-Based SiteSpecific Irrigation. University of Tennessee - Knoxville.

Havard, M. (2015). Les programmes et projets de mécanisation au Sénégal .Propositions. (August). Havarly, M. (1987). CIRAD : Centre de Coopération Internationale en ’ Recherche.

Hofman, V. (2018). Spray Equipment and Calibration Reviewed by. 73(March).

Jian-sheng, P. (2015). An Intelligent Robot System for Spraying Pesticides. The Open

Electrical & Electronic Engineering Journal, 8(1), 435–444.

Joshi, G. S. (2016). Agriculture at a Click Using PLC & SCADA. International Journal of Emerging Trends in Science and Technology, 3928–3932.

Kamelia, L., Ramdhani, M. A., Faroqi, A., & Rifadiapriyana, V. (2018). Implementation of Automation System for Humidity Monitoring and Irrigation System. IOP Conference Series: Materials Science and Engineering, 288(1)

Loukas, V. Hadellis & Vassilios, D. K. (2003). Distributed Control Network For Agricultural Applications. IFAC Proce. 10.1016/S1474- 6670(17)36087-1

Memon, A. V, & Jamsa, S. (2019). Crop Water Requirement and Irrigation scheduling of Soybean and Tomato crop using CROPWAT 8 0.(September 2018).

Pitts, L. (2016). Monitoring Soil Moisture for Optimal Crop Growth. Retrieved from March 13, 09:52; updated: June 01, 2016 02:38. website: Moisture-for-Optimal-Crop-Growth

R.N. Jørgensen1, C. G. S. (2006). HortiBot : A System Design of a Robotic Tool Carrier for High-tech Plant Nursing HortiBot : A System Design of a Robotic Tool Carrier for High-tech Plant Nursing. (May 2014).

S.S.Katariya, S.S.Gundal, K. M. . and K. M. (2015). Automation in Agriculture. Outlook on Agriculture, 4(6), 295–301

Sall, M. (2016). Les exploitations agricoles familiales face aux risques agricoles et climatiques : stratégies développées et assurances agricoles To cite this version : HAL Id : tel-01342523.

Sammons, P. J., Furukawua, T., & Bulgin, A. (2005). Autonomous pesticide spraying robot for use in a greenhouse. Australian Conference on Robotics and Automation, (September 2005), 1–9. 0-9587583-7-9

Sathish Kannan, K., & Thilagavathi, G. (2013). Online farming based on embedded systems and wireless sensor networks. Proceedings of International Conference on Computation of Power, Energy, Information and Communication, ICCPEIC 2013, 71–74.

Smith, M. F. and A. O. of the U. N. (1992). CROPWAT: A Computer Program for Irrigation Planning and Management Numéro 46 de FAO irrigation and




How to Cite

Rashid, M. M., Sall, A., & Hasan, T. F. (2021). Automated Farming System Using Distributed Controller: A Feasibility Study . Asian Journal of Electrical and Electronic Engineering, 1(1), 21–29. Retrieved from