Thothela, NPMarkus, EDMasinde, MAbu-Mahfouz, Adnan MI2021-02-092021-02-092020-12Thothela, 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 .http://hdl.handle.net/10204/11727Food 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.Full textenCropping decisionsDecision support systemsDSSFuzzy inference systemsFISIndigenous knowledgeSensor technologySmall-scale farmersConference PresentationThothela, 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/10204/11727Thothela, 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/10204/11727Thothela 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 .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 -24099