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Adoption of agro-weather information
sources for climate-smart agriculture
among farmers in Embu and Ada'a
Districts of Ke...
Outline
Introduction
Agro-weather tool
Objective of the study
Methodology
Results and Discussions
Conclusions
Introduction
Ensuring food security under a changing climate is one of the
major challenges of the 21st Century.
Agricultu...
Introduction
The delivery of climate-smart advisory information using
ICT such as SMS and smart phone applications and mor...
Introduction
The agro-weather tool took advantage of internationally
available Decision Support System (DSS) tools such as...
Agro-weather tool
The development process comprises of stakeholder identification and consultation;
data/information colle...
Objective of the study
The objective is to determine factors
influencing adoption of agro-weather
information sources for ...
Methodology
Kenya and Ethiopia are situated in the Eastern Africa
The population of the study is all agroweather tools pro...
Result and Discussions
0
10
20
30
40
50
60
70
80
90
100
Male
Female
Lessthan30
30-40
41-50
51-60
61-70
Above70
Single
Marr...
Conclusions
The agroweather tools for adaptation to climate smart agriculture has
been used as a proof of concept that sma...
Thank you
for your
attention
Adoption of agro-weather information sources for CSA among farmers in Embu and Ada'a Districts of Kenya and Ethiopia
Adoption of agro-weather information sources for CSA among farmers in Embu and Ada'a Districts of Kenya and Ethiopia
Adoption of agro-weather information sources for CSA among farmers in Embu and Ada'a Districts of Kenya and Ethiopia
Adoption of agro-weather information sources for CSA among farmers in Embu and Ada'a Districts of Kenya and Ethiopia
Adoption of agro-weather information sources for CSA among farmers in Embu and Ada'a Districts of Kenya and Ethiopia
Adoption of agro-weather information sources for CSA among farmers in Embu and Ada'a Districts of Kenya and Ethiopia
Adoption of agro-weather information sources for CSA among farmers in Embu and Ada'a Districts of Kenya and Ethiopia
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Adoption of agro-weather information sources for CSA among farmers in Embu and Ada'a Districts of Kenya and Ethiopia

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Adoption of agro-weather information sources for CSA among farmers in Embu and Ada'a Districts of Kenya and Ethiopia

  1. 1. Adoption of agro-weather information sources for climate-smart agriculture among farmers in Embu and Ada'a Districts of Kenya and Ethiopia Oladele O.I, Shimeles A, Mamo G, Aregawi F, Gitika M P, Ngari F, Braimoh A K oladele20002001@yahoo.com Kenya National Federation of Agricultural Producers Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia Agricultural and Rural Development, The World Bank, 1818 H Street, NW, Washington DC 20433, USA.
  2. 2. Outline Introduction Agro-weather tool Objective of the study Methodology Results and Discussions Conclusions
  3. 3. Introduction Ensuring food security under a changing climate is one of the major challenges of the 21st Century. Agricultural productivity is highly impacted by weather. The Agro-weather tool increases the adaptive capacity of farming communities by improving a) access to information on weather forecasting and climate patterns; and b) farm management capabilities under conditions of climate risk for selected areas. Agroweather increases awareness of the practical utility of agro- weather information products and improve extension services for better agricultural decision making.
  4. 4. Introduction The delivery of climate-smart advisory information using ICT such as SMS and smart phone applications and more conventional media such as radio messages are vital for enhancing farmers’ resilience and adaptation to climate change. Weather information needs to be tailored to the microenvironment of the farmer to improve farm management capabilities under conditions of climate risks. The agro-weather decision support systems including community farm radio messages were used in the study areas.
  5. 5. Introduction The agro-weather tool took advantage of internationally available Decision Support System (DSS) tools such as crop simulation models to understand and demonstrate impacts of climate variability and crop management practices on specific crop yields and subsequently generates climate-smart agro- advisory. DSS collect, organize, and integrate all types of information required for producing a crop. DSS then analyzes and interprets the information and finally uses the analysis to recommend the most appropriate action for sustaining maximum yields. Expert knowledge, management models, and timely data are key elements of DSS and are used to assist producers with both daily operational and long-range strategic decisions.
  6. 6. Agro-weather tool The development process comprises of stakeholder identification and consultation; data/information collection and dissemination of services to farmers. Agro-weather advisory system utilised short message services, Interactive voice response, newsletter and other traditional ICTs for the transfer of activity specific information that is location specific and time bound to farmers in the coverage area on pre-cultivation strategic choices, and tactical decisions. This is predicated on the fact that digital technology is fast becoming a part of everyday life in sub-Saharan Africa," With a mobile penetration rate of 70% at the end of 2013, sub-Saharan Africa is rapidly closing in on the global penetration rate of 92%. Nigeria, South Africa and Kenya still have the most mobile subscribers. Sub-Saharan Africa is a the fastest growing and largest prepaid market (ITU, 2014). Based on the crop simulation model generated outputs, a detailed climate-smart agricultural management practices advisory framework has been developed.
  7. 7. Objective of the study The objective is to determine factors influencing adoption of agro-weather information sources for climate-smart agriculture among farmers in Embu and Ada'a Districts of Kenya and Ethiopia
  8. 8. Methodology Kenya and Ethiopia are situated in the Eastern Africa The population of the study is all agroweather tools project beneficiaries in Embu east Sub County and Ada’a District, Ethiopia. These are all tea, coffee sorghum and maize & beans farmers that have been reached with the agroweather tools namely, newsletters, radio, IVR and SMS. In Ethiopia, these are all chick pea, lentils, teff and wheat farmers that have been reached with the agroweather tools namely, newsletters, radio, IVR and SMS. The sampling procedure was systematic in Kenya while in Ethiopia simple random sampling was used with 360 and 171 farmers respectively Data in Embu East, Kenya and Adaá district in Ethiopia were collected through the use of a structured questionnaire which was face validated and tested for reliability Data was analyzed by using the Statistical Package for Social Sciences (SPSS) 21.0.
  9. 9. Result and Discussions 0 10 20 30 40 50 60 70 80 90 100 Male Female Lessthan30 30-40 41-50 51-60 61-70 Above70 Single Married Widowed Christianity Islam Primaryschool SecondarySchool College University Noformaleducation Adultliteracy Gender Age Marital status Religion Educational level Percentages Personal characteristics Figure 1: Distribution of farmers based on selected personal characteristics in Embu Kenya
  10. 10. Conclusions The agroweather tools for adaptation to climate smart agriculture has been used as a proof of concept that smallholder farmers are able to make more informed choices upon access to timely weather information and requisite advisory. The overall results show that farming experience and impact of agroweather information were significant determinants of the use of all the tools. Ownership/ Access, Extension contact, Frequency of Extension contact and Extension agency were significant determinant of the use of SMS, Newsletter, and radio, Group membership, was a significant determinant of the use of SMS, Newsletter, and IVR. The significance of these variables stress their need in the planning and policy formulation for the use of agroweather tools for information dissemination.
  11. 11. Thank you for your attention

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