International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Remote-Controlled Drone-Based Spray Pollination System for Greenhouse Bitter Gourd Cultivation

Angel Marie J. LegarioStudent, Notre Dame of Marbel University - Integrated Basic Education Department, Senior High School, PhilippinesChristine B. BeltranStudent, Notre Dame of Marbel University - Integrated Basic Education Department, Senior High School, PhilippinesPauline Faye S. OntoyStudent, Notre Dame of Marbel University - Integrated Basic Education Department, Senior High School, PhilippinesTristan Sam B. RondaelStudent, Notre Dame of Marbel University - Integrated Basic Education Department, Senior High School, PhilippinesPrincess Audrei Joy B. SabanalStudent, Notre Dame of Marbel University - Integrated Basic Education Department, Senior High School, PhilippinesAlthea Jewel J. SuarezStudent, Notre Dame of Marbel University - Integrated Basic Education Department, Senior High School, PhilippinesKarl Evan R. PamaFaculty, Notre Dame of Marbel University - Integrated Basic Education Department, Senior High School, Philippines

Vol 8 No 6 (2024): Volume 8, Issue 6, June 2024 | Pages: 110-120

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 17-06-2024

doi Logo doi.org/10.47001/IRJIET/2024.806014

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Abstract

Background: Agriculture is globally essential yet faces numerous challenges due to the rapid growth of human population and declining pollinator populations, highlighting the need for innovative solutions.

Aim: This aimed to design and to develop a remote-controlled drone-based spray pollination system for greenhouse bitter gourd cultivation.

Design: The drone was developed through Research and Development (R&D) design, including prototype designing, functionality testing, and adaptability and acceptability evaluation.

Results: This study successfully designed a drone-based spray pollination system, achieving a 92% success rate in fertilizing female bitter gourd flowers. The data collection involved the participation of six respondents who completed the evaluation questionnaire. The evaluation ratings indicated a high acceptability level, with an overall mean rating of 3.91 and a standard deviation of 0.29, as well as a high adaptability level, with an overall mean rating of 4.00 and a standard deviation of 0.13, respectively. These findings showcase the prototype's potential for advancement in agricultural robotics.

Conclusion: The drone-based spray pollination system, using a pollen concentration water suspension, was concluded to have high levels in all the following aspects: functionality, adaptability, and acceptability. This highlights that the drone is reliable and effective.

Implication: The prototype's potential extends to addressing environmental challenges and advancing agricultural productivity and sustainability through drone-based pollination technology.

Keywords

pollinator populations, agricultural technology, spray technology


Citation of this Article

Angel Marie J. Legario, Christine B. Beltran, Pauline Faye S. Ontoy, Tristan Sam B. Rondael, Princess Audrei Joy B. Sabanal, Althea Jewel J. Suarez, & Karl Evan R. Pama. (2024). Remote-Controlled Drone-Based Spray Pollination System for Greenhouse Bitter Gourd Cultivation. International Research Journal of Innovations in Engineering and Technology - IRJIET, 8(6), 110-120. Article DOI https://doi.org/10.47001/IRJIET/2024.806014

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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