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International Journal of Electrical and Computer Engineering (IJECE)International Journal of Electrical and Computer Engineering (IJECE)

Modern agriculture faces growing challenges in meeting food and resource demands, particularly with increasing pressure on water and fertilizer usage. This study proposes a fuzzy logic-based algorithm to optimize bio-fertigation by managing key greenhouse parameters: temperature, humidity, soil pH, and soil moisture. Implemented in MATLAB, the system automates the control of actuators (fan, heater, irrigation, fertilization and fertigation pumps) based on sensor data and fuzzy rules. Results show a 27.58% reduction in water use, 58.82% decrease in fertilizer consumption, and a 47.5% increase in tomato yield. Additionally, statistical error metrics mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), and mean absolute percentage error (MAPE) were reduced to zero, confirming the systems high precision and effectiveness in promoting sustainable agricultural practices.

This study demonstrates the effectiveness of the fuzzy logic-based control system in optimizing the greenhouse microclimate and automating actuator responses.Statistical evaluations confirm the models accuracy and reliability, leading to measurable improvements in resource efficiency with significant reductions in water and fertilizer usage.Ultimately, the optimized environmental conditions resulted in a noticeable increase in tomato yield, highlighting the potential of fuzzy logic for sustainable crop production.

Further research should explore the integration of additional environmental parameters, such as light intensity and CO2 levels, to create a more comprehensive greenhouse control system. Investigating the application of this fuzzy logic approach to other crops beyond tomatoes, considering their specific needs and growth characteristics, would broaden the systems applicability. Finally, combining the fuzzy logic system with machine learning algorithms could enable predictive control, anticipating environmental changes and proactively adjusting actuator settings for even greater efficiency and yield optimization, potentially leveraging cloud computing for real-time data analysis and remote control capabilities.

  1. A Secure LOADng Routing Protocol Scheme based on Fuzzy Logic | Touhami | Informatica. secure loadng routing... doi.org/10.31449/inf.v48i18.6131A Secure LOADng Routing Protocol Scheme based on Fuzzy Logic Touhami Informatica secure loadng routing doi 10 31449 inf v48i18 6131
  2. Yield Trends Are Insufficient to Double Global Crop Production by 2050 | PLOS One. yield trends insufficient... doi.org/10.1371/journal.pone.0066428Yield Trends Are Insufficient to Double Global Crop Production by 2050 PLOS One yield trends insufficient doi 10 1371 journal pone 0066428
  3. Drip Irrigation Detection for Power Outage-Prone Areas with Internet-of-Things Smart Fertigation Managemant... thesai.org/Publications/ViewPaper?Volume=12&Issue=7&Code=IJACSA&SerialNo=85Drip Irrigation Detection for Power Outage Prone Areas with Internet of Things Smart Fertigation Managemant thesai Publications ViewPaper Volume 12 Issue 7 Code IJACSA SerialNo 85
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