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Improving Tomato Yield in Greenhouse Agriculture Using Internet of Things (IOT) Technologies

Improving Tomato Yield in Greenhouse Agriculture Using Internet of Things (IOT) Technologies


The global food crisis bedeviling the polity as a result of dreadful climate change and insecurity has culminated also into poor tomato yield experienced by conventional farmers. Internet of things (IoT) has come in handy at this auspicious time to revolutionize agriculture and in turn improve tomato production. With the possibility of automated greenhouse smart farms, food scarcity will abate. This journal is aimed at developing an internet of things based precision monitoring system for improved greenhouse tomato in Nigeria. This work is predicated on the following objectives geared towards realizing the principal aim of this research. Reviews of recent related works to the subject under study were carried out to imbibe required knowledge for the work, this is swiftly followed by characterization and modeling of tomato yield in normal weather conditions with respect to temperature, humidity, soil moisture and yield. These variables were modeled in Simulink and the model was simulated to produce the characterized parametric values. Thereafter, the effects of either premium or deficiency of the variables and tomato yield were established. A rule base for precision monitoring and improving temperature, humidity and soil moisture in optimizing tomato yield was developed. A wireless sensor network was then modeled for precision monitoring and improving tomato yield in greenhouse agriculture. To actuate the activity of the system, an algorithm was proposed to implement the developed rule base and the sensing operation for precision and monitoring of improved tomato yield in greenhouse agriculture. All the models developed are then integrated and simulated and results generated from it. Finally, results are used to justify and validate the research. From the results, the temperature change from 760F to 83.250F gave a percentage improvement of 9.54%. Also, the humidity and soil moisture changed from 70% to 84% and 75% to 90% respectively. These give percentage improvement of 14% and 15% for humidity and soil moisture respectively. Similarly, tomato yield increased from 35 tons to 42 tons, giving a percentage improvement of 20%. From these results, the research can be said to have been justified and validated.

Keywords: Tomato Yield; Greenhouse Agriculture; Internet of Things (IOT)

Ogoh, B. C. & Eke, J.

DOI Link: https://doi.org/10.5281/zenodo.7513008  | FULL PDF