FEU Institute of Technology

Educational Innovation and Technology Hub

Loading...

Sprout it: A Data-Driven Approach to Mushroom Farming with Batch Tracking, Yield Calculation, and Harvest Optimization

2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)

(2023), pp. 1-6

Aris M. Pulumbarit a , Felix Jerome P. Dela Fuente b , Mikaela Ashley M. Perlado b , Kyle Francis Edison O. Atienza b , Kurt Noriz S. Liwanag b , Manuel B. Garcia c , Teodoro F. Revano, Jr. c , Arlene Mae C. Valderama a

a Jose Rizal University, Mandaluyong City, Philippines

b Lyceum of the Philippines, Cavite, Philippines

c FEU Institute of Technology, Manila, Philippines

Abstract: Sprout It is a data-driven web based system approach designed for E and B Farm to manage mushroom farming production, aiding farmers in recording, organizing, and analyzing production batch details. It utilizes visual elements and follows the Kanban Agile Model, with React JS for the front end, Express JS and Node JS for the back end, and MongoDB as the database. With scores of 98.88% in functionality and 97.48% in compatibility testing, it highlights its reliability and cross-browser compatibility as a valuable tool for E and B Farm. The testing results proved that Sprout It delivers a seamless user experience for tasks such as recording, gathering, and analyzing information about mushroom production, thus demonstrating its usefulness to users of E and B Farm. The web management system is compatible with Windows, Android, and iOS devices, requiring an internet browser and connectivity. The system was evaluated using ISO 25010 by a diverse group of users, resulting in an average mean score of 3.61 and a standard deviation of 0.10. The evaluation confirmed the system's usefulness as a valuable tool for E and B Farm mushroom farmers, aiding them in their farm-related tasks.

Recommended APA Citation:

Pulumbarit, A. M., Fuente, F. J. P. D., Perlado, M. A. M., Atienza, K. F. E. O., Liwanag, K. N. S., Garcia, M. B., Revano, T. F., & Valderama, A. M. C. (2023). Sprout it: A Data-Driven Approach to Mushroom Farming with Batch Tracking, Yield Calculation, and Harvest Optimization. 2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 1-6. https://doi.org/10.1109/HNICEM60674.2023.10589259

A Time Capsule Where Research Rests, Legends Linger, and PDFs Live Forever

Repository is the home for every research paper and capstone project created across our institution. It’s where knowledge kicks back, ideas live on, and your hard work finds the spotlight it deserves.

© 2025 Educational Innovation and Technology Hub. All Rights Reserved.