Utilization of Open Databases in Accessing Agricultural Information Among Agricultural Professionals in Rivers State, Nigeria
Keywords:
Open data bases, agriculture professionals, Utilisation, Agriculture informationAbstract
This study assessed the utilization of open databases in accessing agricultural information among agricultural professionals in Rivers State. Two stage sampling procedure was used to select two hundred and forty (240) respondents for the study. A structured questionnaire was used to collect data for the study, while data collected were analysed using mean score, percentages, frequency, Ordinary Least regression analysis and Analysis of Variance (ANOVA). Results further showed that the agriculture professionals were mainly aware of Global Open Data for Agriculture and Nutrition (GODAN), (100%), National Bureau of Statistics (NBS), (96%), World Bank (70%), FAO-FAOSTAT (69%) and Nigeria Metrological Agency (NiMET), (68%) while NBS (95%), World Bank (84%), National Agricultural Extension and Research Liaison (58%) and FAO-FAOSTAT (53%) were the mainly utilised open data bases. The level of education, work experience, household size, age and marital status was found to influence agriculture professional’s utilisation of open data bases for accessing agriculture information. Also, significant difference exists in the utilization of open databases among agricultural professionals in Rivers state (F (2, 237) =2.950, p < .05). The study recommends massive sensitisation and training of agricultural profession to develop skill and capacity for increased use of open data bases.References
Addison, M., Bonuedi, I., Arhin, A.A., Wadei, B., Owusu-Addo, E., Fredua Antoh, E. & Mensah-Odum, N. (2024). Exploring the impact of agricultural digitalization on smallholder farmers’ livelihoods in Ghana. Heliyon, 10 (e27541) https://doi.org/10.1016/j.heliyon.2024.e27541
Cgiar. (2021). Using big data to solve problems faster, better and at greater scale. Montpeller: Platform Big Data Agriculture. CGIAR.
Davies, T., Walker, S. B., Rubinstein, M., & Perini, F. (2019). The state of open data: Histories and horizons. African Minds. Responsible data in agriculture. Research, 6(1306), 592
Deji, O.F., Alabi, D. L. & Famakinwa, M. (2023). Utilization of Artificial Intelligence-based Technology for Agricultural Extension Services Among Extension professionals in Niger. Journal of Agricultural Extension, 27(3).
FAO. (2019.). About FAO STAT. Rome: FAO. [Review of About FAO STAT. Rome: FAO.].
FAOSTAT. (2019). Fao.org. http://www.fao.org/faostat/en/#data
Food and Agriculture Organisation (FAO) (2021). Empowering smallholder farmers to access digital agricultural extension and advisory services.
Global Open Data for Agriculture and Nutrition (GODAN). (2020). Godan’s impact 2014 -2018 improving agriculture, food and nutrition with open data. Http://Www.godan.nfo.
Ifeanyi-Obi, C.C. & Ibiso H.D. (2020). Extension Agents Perception of Open Data Usage in Agricultural Communication in Abia State. Journal of Agricultural Extension, 24(4). 91-99. https://dx.doi.org/10.4314/jae.v24i4.10
Ifeanyi-obi, C.C. & Asuquo, J. E. (2023). Constraints to Conducting Agricultural Research Uptake Activities Among Researchers in Rivers State, Nigeria. Journal of Agricultural Extension, 27 (3) 14-25. https://dx.doi.org/10.4314/jae.v27i3.2
Ifeanyi-obi, C.C. & Corbon, B.L. (2023). Utilization of digital tools in extension service delivery amongst extension agents in Akwa Ibom State, Nigeria. Journal of Agricultural Extension 27 (4) 67-76 https://dx.doi.org/10.4314/jae.v27i4.7
McCampbell, M., Adewopo, J., Klexkx, L. & Leeuwis, C. (2023). Are farmers ready to use phone-based digital tools for agronomic advice? Ex-ante user readiness assessment using the case of Rwandan banana farmers. The Journal of Agricultural Education and Extension, 29(1), 29-51. https://doi.org/10.1080/1389224X.2021.1984955
Munthali N.C., C. Leeuwis, A. V. Passen, R. Lie, R. Asare, R. V. Lammaren, M. Schat, (2018). Innovation Intermediation in digital age, comparing public and private new- ICT platforms for Agricultural extension in Ghana. (NJAS-Wageningen). Life Sci (86-8), 64-76
Nwabugwu, T.S., Nwobodo, C. E. & Okoro, J. C. 2019. Awareness and use of E-Resources Among Public Extension Personal in Anambra State, Nigeria. Journal of Agricultural Extension, 23(1), 24086851
Obiajunwa, U. (2021). Analysis of institutional Credit Accessibility Among Small-Holder Poultry Farmers in Rivers State, Nigeria. Unpublished dissertation.
Obiano, D. C., Ekere, J. N., Chima-James N. & Nwosu, J. C., (2023). Application of Library Database Management Systems in University Libraries in South eastern Nigeria. Journal of Library Service & Technologies. 5(2): 117-126.
Open data. (2019). Open data in the agriculture system . https://www.europeandataportal.eu/en/highlights/open-data-agricultural-sector
USDA. (2021). UMN (2021). About Us GEMS Data-Driven Agricultural Innovation. St. Paul: College of Food, Agricultural and National Resources Sciences (CFANS), Minnesota Supercomputing Institute, Computer Science Engineering
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Chinwoke Clara Ifeanyi-obi, Laura Ime Elliot
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
