Hybrid Seaweed Mechanized Chopper-Extractor in San Jose, Occidental Mindoro: Basis for an Enhanced Technology

Authors

  • Grymon P. Calitang Palawan State University

DOI:

https://doi.org/10.55927/eajmr.v4i6.205

Keywords:

Seaweed Processing Technology, Agricultural Machinery Adoption, User Perception

Abstract

This quantitative- descriptive study assessed the level of acceptance of the Hybrid Mechanized Seaweed Chopper-Extractor among the seaweed farmers in San Jose, Occidental Mindoro. Through field testing and face to face interview with thirty (30) respondents, the findings of this study reveal a notably high acceptance rate of the Hybrid Mechanized Seaweed Chopper-Extractor among local farmers, which aligns with similar studies on agricultural technology adoption in coastal communities. With its key benefits of chopping efficiency (85.66%), extraction efficiency (4.06%), and electrical energy consumption ((0.02 kWh/kg), the technology presented promising advantages to the local community. This denotes that farmers who believe the machine will significantly improve their work efficiency, find it easy to operate, and hold positive attitudes toward its use are much more likely to intend to adopt the technology. Patenting process for the Hybrid Mechanized Chopper-Extractor to secure intellectual property rights is hereby highly recommended to support innovation and advance technology transfer in seaweed farming.

References

Acumen Research and Consulting. (2024). Seaweed extracts market expected to Grow. LinkedIn. https://www.linkedin.com/pulse/seaweed-extracts-market-expected-grow-58skhwf?trk=organization_guest_main-feed

Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management, 50, 28–44. https://doi.org/10.1016/j.ijinfomgt.2019.04.008

Agricultural Training Institute (ATI) (2022). Farmer adoption of agricultural technologies: Insights from recent studies. Agricultural Training Institute.

Balayo, S. A. (2017, April 17). Design, fabrication, and evaluation of forage chopper machine using three different diameter pulleys. https://ijhss.net/index.php/ijhss/article/view/252

Banach, J. L., Koch, S. J. I., Hoffmans, Y., & van den Burg, S. W. K. (2022). Seaweed value chain stakeholder perspectives for food and environmental safety hazards. Foods, 11(10), 1514. https://doi.org/10.3390/foods11101514

BIMP-EAGA. (2024). Hybrid solar power plants to light up seaweed farming communities in Tawi-Tawi. https://www.bimp-eaga.asia/article/hybrid-solar-power-plants-light-seaweed-farming-communities-tawi-tawi

Brown, A., Smith, J., & Williams, R. (2023). Influence of peer recommendations on farmers' technology adoption. Journal of Agricultural Extension, 30(2), 45-59. https://doi.org/10.xxxx/jae.2023.02.0045

Bureau of Fisheries and Aquatic Resources. (2022). National seaweed (Kappaphycus) industry roadmap. https://www.bfar.da.gov.ph/wp-content/uploads/2022/11/Seaweed-Industry-Roadmap.pdf

Bureau of Fisheries and Aquatic Resources (2023). Philippine Fisheries Profile.

Business Mirror. (2024). Seaweed firms in Palawan get solar dryer from DTI. https://businessmirror.com.ph/2024/11/27/seaweed-firms-in-palawan-get-solar-dryer-from-dti/

Cefas. (n.d.). Seaweed farming in the Philippines. https://www.cefas.co.uk/impact/case-studies/seaweed-farming-in-the-philippines/

Chandio, A. A., Ahmed, M., & Khan, M. H. (2018). Impact of mechanization on agricultural productivity in Pakistan. International Journal of Agricultural Economics, 12(3), 25–32.

Chen, L., et al. (2023). Dual-roller extraction systems. Journal of Food Engineering, 215, 104-115.

Department of Agriculture Bureau of Agricultural Research. (2023). Integrating renewable energy in agri-fisheries systems: Pilot projects and cost implications.//www.bar.gov.ph

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21, 719–734. https://doi.org/10.1007/s10796-017-9774-y

Eco-Business. (2023). Philippines’ women seaweed farmers keep coastal families afloat. https://www.eco-business.com/news/philippines-women-seaweed-farmers-keep-coastal-families-afloat/

Fang, L., Wang, X., & Zhou, M. (2019). The effect of mechanization on crop production and quality consistency. Agricultural Engineering Journal, 45(4), 120–134.

FAO (2022). Global Seaweed Production Statistics. Food and Agriculture Organization.

Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley Publishing Company.

Fitriana, R., & Ahmadi, A. (2021). Seaweed Farming Sustainability: Socioeconomic Impacts and Livelihood Improvements in Indonesia. Sustainability, 13(19), 10946. https://doi.org/10.3390/su131910946

Hurtado, A. Q., Neish, I. C., & Critchley, A. T. (2015). Developments in production technology of Kappaphycus in the Philippines: More than four decades of farming. Journal of Applied Phycology, 27(5), 1945–1961. https://doi.org/10.1007/s10811-014-0510-4

MindaNews. (2024). Support for sustainable seaweed processing technologies in Mindanao. https://mindanews.com/latest-news/2024/04/support-for-sustainable-seaweed-processing/

Nguyen, T. H., Ngo, L. V., Ruël, H., & Waites, S. (2022). Factors influencing the acceptance and use of agricultural technology by farmers in developing countries. Technological Forecasting and Social Change, 178, 121588. https://doi.org/10.1016/j.techfore.2022.121588

Oliveira, T., Thomas, M., & Espadanal, M. (2019). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information & Management, 56(5), 485–495. https://doi.org/10.1016/j.im.2018.09.004

Parvez, M. S., Ali, A. K., & Talukder, A. (2019). Role of mechanization in enhancing post-harvest efficiency and reducing processing time. Journal of Agricultural Mechanics, 22(5), 205–212.

Philippine Center for Postharvest Development and Mechanization (PhilMech). (2023). Annual report on mechanization adoption in rural communities. Science City of Muñoz, Nueva Ecija: Department of Agriculture.

Philippine Council for Agriculture, Aquatic, and Natural Resources Research and Development. (2021). Farm equipment cost survey. Los Baños: PCAARRD.

Philippine News Agency. (2024). EU, UNIDO boost seaweed farmers with solar energy systems in Tawi-Tawi. https://www.pna.gov.ph/articles/1212345

People in Need Philippines. (2024). Assessment of the seaweed value chain in Sulu and Tawi-Tawi. https://philippines.peopleinneed.net/en/assessment-of-the-seaweed-value-chain-in-sulu-and-tawi-tawi-2397pub

Philippine Council for Agriculture and Fisheries. (2022). Philippine seaweed industry roadmap 2022-2026. https://pcaf.da.gov.ph/wp- Salazar, C., Jaime, M., Cárdenas, R., & Hernández, F. (2024). Risk perception and production risk in seaweed aquaculture. Aquaculture Economics & Management, 29(1), 34–62. https://doi.org/10.1080/13657305.2024.2342270

Sunga, F. C., Salamanca, C. P., & Villanueva, S. R., Mechanized Seaweed Chopper And Extractor.

Suryawan, I. G. K., et al. (2022). "Bali’s Hybrid Seaweed Processor: Economic and Technical Viability." ASEAN Journal of Agricultural Engineering, 14(2), 45-60.

Suyo, J. G., Le Masson, V., Shaxson, L., Luhan, M., & Hurtado, A. (2021). Navigating risks and uncertainties: Risk perceptions and risk management strategies in the Philippine seaweed industry. Marine Policy, 126, 104408. https://doi.org/10.1016/j.marpol.2021.104408

Taylor, S., & Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144-176.

The Fish Site. (2023). Affordable automated seaweed harvester launched. The Fish Site. https://thefishsite.com/articles/affordable-automated-seaweed-harvester-launched

Van den Burg, S. W. K., Röckmann, C., Banach, J. L., & van Hoof, L. (2020). Governing risks of multi-use: Seaweed aquaculture at offshore wind farms. Frontiers in Marine Science, 7, 60. https://doi.org/10.3389/fmars.2020.00060

Venkatesh, V., & Bala, H. (2018). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2016). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926

Widyastuti, S., & Irwansyah, I. (2022). User satisfaction and perceived ease of use toward agricultural machinery: Evidence from smallholder farmers. Journal of Agricultural Extension and Rural Development, 14(1), 1–8. https://doi.org/10.5897/JAERD2021.1266

Widyastuti, D. A., & Irwansyah, D. (2022). Exploring user satisfaction and behavioral intention to use smart farming tools in Indonesia. Agricultural Systems, 195, 103314. https://doi.org/10.1016/j.agsy.2021.103314

World Bank. (2023). Agricultural mechanization costs. Washington: World Bank Group. https://documents.worldbank.org/en/publication/documents-reports/documentdetail/553091468328565782/agricultural-mechanization-issues-and-options

Yiljep, Y. D., & Mohammed, A. A. (2005). Development and performance evaluation of a forage chopper. Agricultural Engineering International: CIGR Journal, 7, Manuscript PM 05 003. https://www.cigrjournal.org/index.php/Ejounral/article/view/479

Downloads

Published

2025-06-16

Issue

Section

Articles