dc.contributor.author |
Thothela, NP
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|
dc.contributor.author |
Markus, ED
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|
dc.contributor.author |
Masinde, M
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dc.contributor.author |
Abu-Mahfouz, Adnan MI
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dc.date.accessioned |
2021-02-09T08:16:44Z |
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dc.date.available |
2021-02-09T08:16:44Z |
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dc.date.issued |
2020-12 |
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dc.identifier.citation |
Thothela, N., Markus, E., Masinde, M. & Abu-Mahfouz, A.M. 2020. A survey of intelligent agro-climate decision support tool for small-scale farmers: An integration of indigenous knowledge, mobile phone technology and smart sensors. http://hdl.handle.net/10204/11727 . |
en_ZA |
dc.identifier.uri |
http://hdl.handle.net/10204/11727
|
|
dc.description.abstract |
Food security in Africa and the rest of the globe has come under tremendous threat, meaning that agriculture which is the driving force behind many economies is under threat. Seventy per cent of the food produced in sub-Saharan Africa is produced in the rainfed small-holder agriculture, which in turn is the most devastated by any disasters experienced in the agricultural sector. Although the indigenous knowledge system has been used by many small-scale farmers as the basis for their day-to-day agricultural decision support, climate change and global warming have rendered this knowledge unreliable. Documented limitations on the isolated use of indigenous knowledge and modern scientific systems are the basis of this study. We investigate the effectiveness of the integration of indigenous knowledge interpreted through fuzzy inference systems, mobile phone and smart sensor technology with intelligence, on farmers decision support systems. |
en_US |
dc.format |
Full text |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
DOI: https://doi.org/10.1007/978-981-15-8354-4_71 |
en_US |
dc.relation.uri |
https://link.springer.com/chapter/10.1007%2F978-981-15-8354-4_71 |
en_US |
dc.relation.uri |
978-981-15-8353-7 |
en_US |
dc.relation.uri |
978-981-15-8354-4 |
en_US |
dc.source |
ICT Analysis and Applications: Lecture Notes in Networks and Systems - Proceedings of ICT4SD 2020, Volume 2 |
en_US |
dc.subject |
Cropping decisions |
en_US |
dc.subject |
Decision support systems |
en_US |
dc.subject |
DSS |
en_US |
dc.subject |
Fuzzy inference systems |
en_US |
dc.subject |
FIS |
en_US |
dc.subject |
Indigenous knowledge |
en_US |
dc.subject |
Sensor technology |
en_US |
dc.subject |
Small-scale farmers |
en_US |
dc.title |
A survey of intelligent agro-climate decision support tool for small-scale farmers: An integration of indigenous knowledge, mobile phone technology and smart sensors |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
715-730 |
en_US |
dc.description.note |
Copyright: 2020 Springer |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
|
dc.description.impactarea |
EDTRC Management |
en_US |
dc.identifier.apacitation |
Thothela, N., Markus, E., Masinde, M., & Abu-Mahfouz, A. M. (2020). A survey of intelligent agro-climate decision support tool for small-scale farmers: An integration of indigenous knowledge, mobile phone technology and smart sensors. http://hdl.handle.net/10204/11727 |
en_ZA |
dc.identifier.chicagocitation |
Thothela, NP, ED Markus, M Masinde, and Adnan MI Abu-Mahfouz. "A survey of intelligent agro-climate decision support tool for small-scale farmers: An integration of indigenous knowledge, mobile phone technology and smart sensors." <i>ICT Analysis and Applications: Lecture Notes in Networks and Systems - Proceedings of ICT4SD 2020, Volume 2</i> (2020): http://hdl.handle.net/10204/11727 |
en_ZA |
dc.identifier.vancouvercitation |
Thothela N, Markus E, Masinde M, Abu-Mahfouz AM, A survey of intelligent agro-climate decision support tool for small-scale farmers: An integration of indigenous knowledge, mobile phone technology and smart sensors; 2020. http://hdl.handle.net/10204/11727 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Thothela, NP
AU - Markus, ED
AU - Masinde, M
AU - Abu-Mahfouz, Adnan MI
AB - Food security in Africa and the rest of the globe has come under tremendous threat, meaning that agriculture which is the driving force behind many economies is under threat. Seventy per cent of the food produced in sub-Saharan Africa is produced in the rainfed small-holder agriculture, which in turn is the most devastated by any disasters experienced in the agricultural sector. Although the indigenous knowledge system has been used by many small-scale farmers as the basis for their day-to-day agricultural decision support, climate change and global warming have rendered this knowledge unreliable. Documented limitations on the isolated use of indigenous knowledge and modern scientific systems are the basis of this study. We investigate the effectiveness of the integration of indigenous knowledge interpreted through fuzzy inference systems, mobile phone and smart sensor technology with intelligence, on farmers decision support systems.
DA - 2020-12
DB - ResearchSpace
DP - CSIR
J1 - ICT Analysis and Applications: Lecture Notes in Networks and Systems - Proceedings of ICT4SD 2020, Volume 2
KW - Cropping decisions
KW - Decision support systems
KW - DSS
KW - Fuzzy inference systems
KW - FIS
KW - Indigenous knowledge
KW - Sensor technology
KW - Small-scale farmers
LK - https://researchspace.csir.co.za
PY - 2020
T1 - A survey of intelligent agro-climate decision support tool for small-scale farmers: An integration of indigenous knowledge, mobile phone technology and smart sensors
TI - A survey of intelligent agro-climate decision support tool for small-scale farmers: An integration of indigenous knowledge, mobile phone technology and smart sensors
UR - http://hdl.handle.net/10204/11727
ER - |
en_ZA |
dc.identifier.worklist |
24099 |
|