Journal of Computing and Natural Science


Application of Agricultural Information Systems Development Kit for Multimodal Agricultural systems



Journal of Computing and Natural Science

Received On : 10 January 2023

Revised On : 10 May 2023

Accepted On : 08 June 2023

Published On : 05 January 2024

Volume 04, Issue 01

Pages : 001-010


Abstract


Multifunctional and diverse agriculture has the potential to effectively address conflicting demands and requirements by concurrently boosting biodiversity, production, and provision of environmental services. Digitalized technology can assist in the creation and control of agricultural models and systems that are resource-efficient and adaptable to their environments. In order to demonstrate the potential of digital technology in promoting decision-making processes that prioritize diverse and environmentally sustainable farming practices, we present an analysis of Agricultural Information Systems Development Kit (AISDK). The AISDK was developed through a comprehensive literature review to identify the limitations of current tools. Additionally, in collaboration with stakeholders, we established the criteria for a decision-support tool that is based on knowledge. The findings of the review emphasize the ongoing challenges associated with the integration of multiple spatial, temporal, and sustainability dimensions, as well as the promotion of effective collaboration and communications among farmers and key stakeholders in the agriculture sector.


Keywords


Agricultural Information Systems Development Kit, Multimodal Agricultural Systems, Digital Agricultural Tools.


  1. D. Dooyum Uyeh, K. G. Gebremedhin, and S. Hiablie, “Perspectives on the strategic importance of digitalization for Modernizing African Agriculture,” Comput. Electron. Agric., vol. 211, no. 107972, p. 107972, 2023.
  2. “African leaders redefine the future through digital transformation”,. Available: https://au.int/en/pressreleases/20190211/african-leaders-redefine-future-through-digital-transformation. [Accessed: 16-Jul-2023].
  3. M. McCampbell, J. Adewopo, L. Klerkx, and C. Leeuwis, “Are farmers ready to use phone-based digital tools for agronomic advice? Ex-ante user readiness assessment using the case of Rwandan banana farmers,” J. Agric. Educ. Ext., vol. 29, no. 1, pp. 29–51, 2023.
  4. H. J. Smidt and O. Jokonya, “Factors affecting digital technology adoption by small-scale farmers in agriculture value chains (AVCs) in South Africa,” Inf. Technol. Dev., vol. 28, no. 3, pp. 558–584, 2022.
  5. C. Slimi, L. Prost, M. Cerf, and M. Prost, “The potential of community interactions as inducers of agroecological transition: the case of a digital agricultural community,” J. Agric. Educ. Ext., pp. 1–17, 2023.
  6. R. Subha, A. Haldorai, and A. Ramu, “An Optimal Approach to Enhance Context Aware Description Administration Service for Cloud Robots in a Deep Learning Environment,” Wireless Personal Communications, vol. 117, no. 4, pp. 3343–3358, Feb. 2021, doi: 10.1007/s11277-021-08073-3.
  7. H. Saçtı and İ. Dellal, “Measuring the level of digitalization in agriculture: Identification indicators and scaling to determine the digitalization level of farmers,” Turk. J. Agric. - Food Sci. Technol., vol. 11, no. 6, pp. 1024–1031, 2023.
  8. A.-R. Abdulai, K. B. Kc, and E. Fraser, “What factors influence the likelihood of rural farmer participation in digital agricultural services? experience from smallholder digitalization in Northern Ghana,” Outlook Agric., p. 003072702211446, 2022.
  9. K. Savolainen, “User-centred design without involving users: A longitudinal case study in a human-centred-design–mature company,” Des. J., vol. 24, no. 6, pp. 887–905, 2021.
  10. S. O. Hong, J. Y. Lee, and Korea Institute of Design Research Society, “Development of practical statistical education learning program using design thinking techniques,” Korea Inst. Des. Res. Soc., vol. 8, no. 1, pp. 262–271, 2023.
  11. J. Köninger, E. Lugato, P. Panagos, M. Kochupillai, A. Orgiazzi, and M. J. I. Briones, “Manure management and soil biodiversity: Towards more sustainable food systems in the EU,” Agric. Syst., vol. 194, no. 103251, p. 103251, 2021.
  12. F. A. Shafie and D. Rennie, “Consumer perceptions towards organic food,” Procedia Soc. Behav. Sci., vol. 49, pp. 360–367, 2012.
  13. E. Erjavec and M. Lovec, “Research of European Union’s Common Agricultural Policy: disciplinary boundaries and beyond,” Eur. Rev. Agric. Econ., vol. 44, no. 4, pp. 732–754, 2017.

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Cite this article


Agnar Alfons Ramel, “Application of Agricultural Information Systems Development Kit for Multimodal Agricultural systems”, Journal of Computing and Natural Science, vol.4, no.1, pp. 001-010, January 2024. doi: 10.53759/181X/JCNS202404001.


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© 2024 Agnar Alfons Ramel. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.