Laguitao,GYrhyk Val S.Lirag, Justine  Mark T. Lor, Claire Anne L. Rasing, Meiji Denzel Brianne A. Torres, John Michael Vincent P.  4  0   <br/><br/>
Agri-sense : an IOT - based horticulture monitoring system for rice agriculture.        6 
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<br/><br/>   Undergraduate Thesis : (Bachelor of Science in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2024. 
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<br/><br/> ABSTRACT:  STATEMENT OF THE PROBLEM: The researchers want to resolve and improve the Monitoring issues, Lack of strategic approach to irrigation practices, Varying levels of land moisture, and Unpredictable weather conditions.  RESEARCH METHODOLOGY: The researchers use quantitative design which involves using numerical data to quantify soil moisture levels at different locations within the field.  SUMMARY OF FINDINGS: The system can be utilized and can be properly used by the farmers and the owners approved can also monitor the rice field through the mobile application.  CONCLUSION: In summary, the researchers were able to develop an IoT smart horticulture monitoring device, and successfully integrated a microcontroller suitable for the sensors and efficiency of the system.  RECOMMENDATION: The researchers recommended to have an extra layer of security, consider using LoRa instead of Wi-Fi wide coverage for better data monitoring, have a better enclosure to accommodate climate changes, have an SMS notification incase of the Wi-Fi has no signal, consider testing on two separate rice field with different environment, use the point to multipoint for the data monitoring to be easily accessible by the users.       
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