M-crop: enhancing sustainable agriculture practices integrating a cloud and iot-based soil monitoring system/
Airies B. Alenain, Jeremiah S. Alico, Dave Lester D. De Villena, Crystal Jade B. Pacanan, and Mick Allen O. Sanchez.--
- Manila: Technological University of the Philippines, 2025.
- xiii, 121pages: 29cm.
Bachelor's thesis
College of Industrial Technology.--
Includes bibliographic references and index.
The tradition of planting crops in the Philippines is deeply embedded in its agricultural heritage, which remains a major source of livelihood for millions of Filipinos. However, traditional farming practices often employ manual practices and assessment, which can lead to inefficient crop production and mismanagement of nutrients needed for the crops. To address the challenge, the project develops a modern soil monitoring system utilizing RS485-enabled NPK/salinity and moisture sensors integrated with microcontrollers. Real-time data is transmitted via an ESP32 to cloud platforms like Firebase, allowing mobile access and analysis. By enabling farmers to track essential soil parameters — Nitrogen, Phosphorus, Potassium, moisture, and salinity — this system empowers data-informed decisions for optimized fertilizer application and irrigation
practices. This directly aligns with the United Nations Sustainable Development Goal (UN- SDG) 12: Responsible Consumption and Production. The M-CROP system facilitates a
significant reduction in agricultural waste through precise input use, minimizes environmental impact from chemical runoff, and promotes efficient resource conservation. It supports sustainable land use, helps maximize crop yield, and maintains long-term soil productivity. This initiative bridges traditional agriculture with modern technology, fostering a smarter, sustainable farming experience in the Philippines, contributing to both local food security and global efforts toward responsible resource management. The system successfully passed evaluation based on criteria described in ISO/IEC 25010 and 30162 IoT compatibility with 4.76 out of five-point Likert scale with a qualitative interpretation of Excellent.