Smart greenhouse: an iot-driven monitoring, cultivation, and crop harvest forecasting system/
Bagorio, Kristian Charles B.
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.-- - xv, 114pages: 29cm.
Bachelor's thesis
College of Industrial Technology.--
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.
Smart greenhouse
Crop forecasting
ESP32
BTH QA 76.9 / B34 2025
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.-- - xv, 114pages: 29cm.
Bachelor's thesis
College of Industrial Technology.--
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.
Smart greenhouse
Crop forecasting
ESP32
BTH QA 76.9 / B34 2025