EFFECT OF AUTOMATED CONTROLLING SYSTEM USING RASPBERRY-PI MICROPROCESSOR ON GROWTH PARAMETERS OF EGGPLANT IN GREENHOUSE

Authors

  • Bilal Ahmad Department of Electrical Engineering, University of Poonch Rawalakot, Rawalakot, AJK, Pakistan.
  • Raees Ahmed Department of Plant Pathology . Poonch agriculture University rawlakot
  • Muhammad Tahir Younas Department of Plant Pathology, Faculty of Agriculture, University of Poonch Rawalakot, AJK, Pakista
  • Muhammad Saeed Wheat Research Sub-station Murree, Pakistan
  • Irfan Jamshed Department of Computer Systems Engineering, Mirpur University of Science and Technology, AJK, Pakistan
  • Sohaib Masroor Department of Biomedical Engineering, Sir Syed University of Engineering and Technology, Karachi, Pakistan
  • Arshad Wahab Fodder Research Institute Sargodha
  • umed Ali Department of Botany, Mir Chakar Khan Rind University, Luni Road Sibi, Balochistan, Pakistan
  • Bilal Hayder Fodder Research Institute Sargodha, Punjab, Pakistan
  • Muzaffar Subhani Fodder Research Institute Sargodha
  • Muhammad Abbas Department of Plant Pathology, Faculty of Agriculture, University of Poonch Rawalakot, AJK, Pakistan.
  • Sohail Tariq Department of Mechanical Engineering, Mirpur University of Science and Technology, AJK, Pakistan.
  • Basharat Mahmood Department of Plant Pathology, Faculty of Agriculture, University of Poonch Rawalakot, AJK, Pakistan

DOI:

https://doi.org/10.34016/pjbt.2022.19.2.104.

Keywords:

Automated greenhouse, Automation, Microprocessor, Raspberry-Pi

Abstract

To bridge up the quality gaps and excel in the production of eggplant there is a need to switch the conventional production system to smart greenhouse house monitoring system. The study was designed to evaluate the growth parameters using smart greenhouse monitoring system designed with Raspberry-Pi microprocessor and sensors to control the microclimate (temperature and humidity) of a prototype greenhouse. A set of experiment was designed, one in a smart greenhouse system and the 2nd in the conventional greenhouse system to evaluate the growth parameters of eggplant. In a microclimate of smart greenhouse the temperature and humidity was set controlled using two sensors and automation system to control the mist spray and heating/cooling system inside the prototype greenhouse. Standard production technology was adopted in both the experiments and the experiment was replicated thrice. It was observed that the smart greenhouse monitoring system maintained the microclimate inside the prototype greenhouse ultimately effect the growth and yield parameters. The results predicted a progressive increase in growth parameter upto 10-20% in plant height, flowers per plant, fruits per plant and weight of fruit in automated greenhouse using microcontroller. Similarly quality of fruit was significantly affected as maximum fruit diameter 35 mm and fruit firmness 6.9 libre was recorded that was significantly higher than the fruit in the conventional greenhouse. The over average yield of eggplant per plant was recorded 5.6 kg/plant in automated greenhouse while 4 kg/plant fruit yield was recorded in conventional greenhouse that was significantly higher. The findings of current study predicted that the overall yield of eggplant was significantly higher and the growth and quality parameters were also higher in automated greenhouse using microcontroller and can be used for the potential eggplant production in urban agriculture.

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Author Biographies

Bilal Ahmad, Department of Electrical Engineering, University of Poonch Rawalakot, Rawalakot, AJK, Pakistan.

Fodder Research Institute Sargodha, Punjab, Pakistan

Muhammad Tahir Younas, Department of Plant Pathology, Faculty of Agriculture, University of Poonch Rawalakot, AJK, Pakista

2Department of Plant Pathology, Faculty of Agriculture, University of Poonch Rawalakot, AJK, Pakista

Muhammad Saeed, Wheat Research Sub-station Murree, Pakistan

Wheat Research Sub-station Murree, Pakistan

Irfan Jamshed, Department of Computer Systems Engineering, Mirpur University of Science and Technology, AJK, Pakistan

Department of Computer Systems Engineering, Mirpur University of Science and Technology, AJK, Pakistan

Sohaib Masroor, Department of Biomedical Engineering, Sir Syed University of Engineering and Technology, Karachi, Pakistan

Department of Biomedical Engineering, Sir Syed University of Engineering and Technology, Karachi, Pakistan

Arshad Wahab, Fodder Research Institute Sargodha

Fodder Research Institute Sargodha

umed Ali, Department of Botany, Mir Chakar Khan Rind University, Luni Road Sibi, Balochistan, Pakistan

Department of Botany, Mir Chakar Khan Rind University, Luni Road Sibi, Balochistan, Pakistan

Bilal Hayder, Fodder Research Institute Sargodha, Punjab, Pakistan

Fodder Research Institute Sargodha, Punjab, Pakistan

Muzaffar Subhani, Fodder Research Institute Sargodha

Fodder Research Institute Sargodha, Punjab, Pakistan

Muhammad Abbas, Department of Plant Pathology, Faculty of Agriculture, University of Poonch Rawalakot, AJK, Pakistan.

Department of Plant Pathology, Faculty of Agriculture, University of Poonch Rawalakot, AJK, Pakistan.

Sohail Tariq, Department of Mechanical Engineering, Mirpur University of Science and Technology, AJK, Pakistan.

Department of Mechanical Engineering, Mirpur University of Science and Technology, AJK, Pakistan.

Basharat Mahmood, Department of Plant Pathology, Faculty of Agriculture, University of Poonch Rawalakot, AJK, Pakistan

Department of Plant Pathology, Faculty of Agriculture, University of Poonch Rawalakot, AJK, Pakistan

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Published

2022-12-30

How to Cite

Ahmad, B., Ahmed, R. . ., Younas, M. T., Saeed, M., Jamshed, I., Masroor, S., … Mahmood, B. (2022). EFFECT OF AUTOMATED CONTROLLING SYSTEM USING RASPBERRY-PI MICROPROCESSOR ON GROWTH PARAMETERS OF EGGPLANT IN GREENHOUSE. Pakistan Journal of Biotechnology, 19(02), 114–127. https://doi.org/10.34016/pjbt.2022.19.2.104.

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Research Articles

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