dc.contributor.author | Kyaruzi, John | |
dc.contributor.author | Yonah, Zaipuna | |
dc.contributor.author | Swai, Hulda | |
dc.contributor.author | Nyambo, Devotha | |
dc.date.accessioned | 2021-09-23T12:41:51Z | |
dc.date.available | 2021-09-23T12:41:51Z | |
dc.date.issued | 2020-10-30 | |
dc.identifier.uri | https://dspace.nm-aist.ac.tz/handle/20.500.12479/1335 | |
dc.description | This research article published by TRANSACTIONS ON MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE, Vol 8, No. 5 | en_US |
dc.description.abstract | Research on agricultural and rural development (ARD) systems in general, and farming as a business
(FAAB) in particular, face the limitation of availability of credible and reliable benchmarking data, both for
on-farm support for farm management decision making and off-farm support for research, investment
and policy decision making. One of the main part of this limitation is to obtain reliable benchmarking data
for decision making, both for current conditions and under scenarios of changed bio-physical and socioeconomic
conditions.
This
paper
presents
a framework for mobile application development to support
farming as a business via benchmarking (FAABB). This is done with a model that distinguishes between
internal and external sources of data and between codified and computed information. Also, the paper
demonstrates and emphasizes how integration should be considered as a requirement when developing
a typical mobile application for ARD. The paper ends with a description of an ongoing research project at
Nelson Mandela African Institution of Technology (NM-AIST) in Tanzania that aims to develop a new
framework to facilitate development of mobile applications for FAABB. | en_US |
dc.language.iso | en | en_US |
dc.publisher | TRANSACTIONS ON MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE | en_US |
dc.subject | Agricultural and rural development (ARD) | en_US |
dc.subject | Farming as a business via benchmarking (FAABB) | en_US |
dc.subject | M-apps frameworks | en_US |
dc.title | External Services and their Integration as a Requirement in Developing a Mobile Framework to Support Farming as a Business via Benchmarking: The Case of NM-AIST | en_US |
dc.type | Article | en_US |