Smart greenhouse: an iot-driven monitoring, cultivation, and crop harvest forecasting system/ Kristian Charles B. Bagorio, John Michael H. Boluso, Ciara Jenzen D.L. Delos Reyes, and Emmanuel Christopher M. Pagulayan.--

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Bagorio, Kristian Charles B [author]

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BTH QA 76.9 B34 2025

Dissertation note: College of Industrial Technology.-- Bachelor of engineering technology major in computer engineering technology: Technological University of the Philippines, 2025. Summary: Climate change and agriculture are closely related in a number of ways. In fact, some plants may benefit from climate change as it lengthens growing seasons and raises carbon dioxide levels. However, it may cause poor crop quality due to adverse weather conditions. This research proposes a solution in the form of an IoT-based smart greenhouse for automated crop harvest forecasting, monitoring, and cultivation. The system would also consist of a mobile application which collects real time data from the sensors which tracks environmental factors like soil moisture, humidity, and temperature. The sensors communicates with the ESP32 microcontroller which transmits data to the database. An ESP32-CAM provides image data in real-time for visual observation. To sustain ideal conditions for plant growth, fans, spectrum lights, and misting will automatically activate based on set thresholds. An estimating algorithm was developed that assesses sensor data patterns to estimate harvest timelines. The system was evaluated and tested with a focus on effectiveness, efficiency, trustworthiness, and overall system usability within ISO 25010 software quality standards. The system, while forecasting under controlled environments, successfully reported accurate predictions for crop maturity alongside maintaining environmental controlled conditions. Some reported limitations include dependence on internet security and external weather fluctuations. Regardless, the Smart Greenhouse highlights a sustainable and scalable method of urban farming that enhances crop productivity, resource efficiency, and climate change resilience. The system has potential applications for both urban and rural agriculture, aligning with UN-SDG #13 (Climate Action) and national goals for agricultural innovation.

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Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Bachelor's Thesis CIT	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76.9 B34 2025 (Browse shelf(Opens below))	c.1	Not for loan		BTH0006604

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Bachelor's thesis

College of Industrial Technology.-- Bachelor of engineering technology major in computer engineering technology: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

Climate change and agriculture are closely related in a number of ways. In fact,
some plants may benefit from climate change as it lengthens growing seasons and raises
carbon dioxide levels. However, it may cause poor crop quality due to adverse weather
conditions. This research proposes a solution in the form of an IoT-based smart
greenhouse for automated crop harvest forecasting, monitoring, and cultivation. The
system would also consist of a mobile application which collects real time data from the
sensors which tracks environmental factors like soil moisture, humidity, and temperature.
The sensors communicates with the ESP32 microcontroller which transmits data
to the database. An ESP32-CAM provides image data in real-time for visual observation.
To sustain ideal conditions for plant growth, fans, spectrum lights, and misting will
automatically activate based on set thresholds. An estimating algorithm was developed
that assesses sensor data patterns to estimate harvest timelines. The system was evaluated
and tested with a focus on effectiveness, efficiency, trustworthiness, and overall system
usability within ISO 25010 software quality standards. The system, while forecasting
under controlled environments, successfully reported accurate predictions for crop
maturity alongside maintaining environmental controlled conditions. Some reported
limitations include dependence on internet security and external weather fluctuations.
Regardless, the Smart Greenhouse highlights a sustainable and scalable method of urban
farming that enhances crop productivity, resource efficiency, and climate change
resilience. The system has potential applications for both urban and rural agriculture,
aligning with UN-SDG #13 (Climate Action) and national goals for agricultural
innovation.

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