Using ICT for fish marketing: The EFMIS model in Kenya
description
Transcript of Using ICT for fish marketing: The EFMIS model in Kenya
![Page 1: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/1.jpg)
Using ICT for fish marketingThe EFMIS model in Kenya
SMS5565SMS5565
R.O Abila, W. Ojwang, A. Othina, C. Lwenya, R. Oketch, R. OkeyoKenya Marine & Fisheries Research Institute
![Page 2: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/2.jpg)
SupportingInstitutions
Host institution
Initial pilot on L. Victoria
Up-scaled phase to all Kenya fisheries
Study on viability of ICT in fisheries
![Page 3: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/3.jpg)
Presentation outline•Background•Project objectives•Implementation arrangements•System design•Achievements•Challenges• Sustainability• Future prospects
•Background•Project objectives•Implementation arrangements•System design•Achievements•Challenges• Sustainability• Future prospects
![Page 4: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/4.jpg)
BackgroundFisheries in Kenya's economy GDP, incomes, food, employment, foreign exchange Total production = 150,000 MT Value of landed fish = USD 125 Million Exports value = USD 60 Million 70,000 fishers; 500,000 fish traders & related activities
7 fish processing firms; Many cooperatives
Lake Victoria (Kenya) 90% of fish production
95% of fish export
Fisheries in Kenya's economy GDP, incomes, food, employment, foreign exchange Total production = 150,000 MT Value of landed fish = USD 125 Million Exports value = USD 60 Million 70,000 fishers; 500,000 fish traders & related activities
7 fish processing firms; Many cooperatives
Lake Victoria (Kenya) 90% of fish production
95% of fish export
![Page 5: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/5.jpg)
Local National Regional (EAC states; S.
Sudan) International - (To EU,
Middle East, Asia etc.)
Scope of fish trade
Local National Regional (EAC states; S.
Sudan) International - (To EU,
Middle East, Asia etc.)
![Page 6: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/6.jpg)
Key Marketing issues
•Deficiency in market information & trends•High price disparities between landing sites/ markets•Price margins for middlemen•Post-harvest losses•High marketing costs•Low income to fishers and traders
•Deficiency in market information & trends•High price disparities between landing sites/ markets•Price margins for middlemen•Post-harvest losses•High marketing costs•Low income to fishers and traders
![Page 7: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/7.jpg)
Objective of EFMIS(Enhanced Fish Market Information Service)
To enhance fish trade and incomesthrough easy, cheap and faster access tomarket information
To enhance fish trade and incomesthrough easy, cheap and faster access tomarket information
![Page 8: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/8.jpg)
Expected impacts/ benefitsContribute to;•Enhanced trade and incomes through;
•Improved pricing system and prices•Reduction in post-harvest losses•Reduction in marketing costs•Greater awareness of market trends
Contribute to;•Enhanced trade and incomes through;
•Improved pricing system and prices•Reduction in post-harvest losses•Reduction in marketing costs•Greater awareness of market trends
![Page 9: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/9.jpg)
KMFRI -EFMIS
INSTITUTIONAL ARRANGEMENT
BENEFICIARIESBMUs (Fishers, traders, processors)Cooperative organizationsFish farmersFish consumers
KMFRI -EFMIS
![Page 10: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/10.jpg)
System design
![Page 11: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/11.jpg)
Cell net
Serviceprovider
Cell net
Fishing gearsuppliers
![Page 12: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/12.jpg)
Key Features A system for generating fish market informationfrom 180 landing sites, markets, input suppliers
A Data Centre at KMFRI - synthesis and packaging
Access by SMS short code 5565; Automated rapidresponse (< 10 secs).
Accessible 24 hrs; from anywhere in Kenya
Dissemination also by internet, radio, newspapers
A system for generating fish market informationfrom 180 landing sites, markets, input suppliers
A Data Centre at KMFRI - synthesis and packaging
Access by SMS short code 5565; Automated rapidresponse (< 10 secs).
Accessible 24 hrs; from anywhere in Kenya
Dissemination also by internet, radio, newspapers
![Page 13: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/13.jpg)
DATA TYPES
Frequency of data input: Daily Fish prices at Landing sites, markets Fish Quantity at landing sites, markets No. of fish trucks at landing sites Basic weather information
Send: MARKET NAME to 5565.Response within seconds
• e.g. Mbuta; 120Ksh; 30kgs; Dry weather; 4pm
DATA TYPES
Frequency of data input: Daily Fish prices at Landing sites, markets Fish Quantity at landing sites, markets No. of fish trucks at landing sites Basic weather information
Send: MARKET NAME to 5565.Response within seconds
• e.g. Mbuta; 120Ksh; 30kgs; Dry weather; 4pm
DATA TYPES
Frequency of data input: Daily Fish prices at Landing sites, markets Fish Quantity at landing sites, markets No. of fish trucks at landing sites Basic weather information
Send: MARKET NAME to 5565.Response within seconds
• e.g. Mbuta; 120Ksh; 30kgs; Dry weather; 4pm
DATA TYPES
Frequency of data input: Daily Fish prices at Landing sites, markets Fish Quantity at landing sites, markets No. of fish trucks at landing sites Basic weather information
Send: MARKET NAME to 5565.Response within seconds
• e.g. Mbuta; 120Ksh; 30kgs; Dry weather; 4pm
![Page 14: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/14.jpg)
TILAPIATILAPIA
NILE PERCH
DAGAA
![Page 15: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/15.jpg)
Documented standard proceduresTrained data collectors and entry staffManual data verification and inputInternal Quality Monitoring teamExternal monitoring and evaluation
Documented standard proceduresTrained data collectors and entry staffManual data verification and inputInternal Quality Monitoring teamExternal monitoring and evaluation
![Page 16: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/16.jpg)
Achievements
A total of 180 landing sites involved 150 Lake Victoria10 Lake Turkana10 Marine fisheries10 Lake Naivasha
40 markets About 50,000 SMS received 1,000 receive monthly bulletins
Achievements
A total of 180 landing sites involved 150 Lake Victoria10 Lake Turkana10 Marine fisheries10 Lake Naivasha
40 markets About 50,000 SMS received 1,000 receive monthly bulletins
![Page 17: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/17.jpg)
Monthly Fish Market Information BulletinsMonthly Fish Market Information Bulletins
![Page 18: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/18.jpg)
MONTHLY PRICE TREND
0
50
100
150
200
250Jul-09
Aug-09
Sep-09
Oct-09
Nov-09
Dec-09
Jan-10
Feb-10
Mar-10
Apr-10
May-10
Jun-10
Jul-10
Aug-10
Sep-10
Oct-10
Nov-10
Dec-10
Jan-11
Feb-11
Mar-11
Nile perch Tilapia Dagaa
Nile perch Tilapia Dagaa
Jul-09 135 107 60
Sep-09 145 126 72
Nov-09 150 121 76
Jan-10 153 128 72
Mar-10 162 136 75
May-10 146 138 105
Jul-10 160 145 105
Nile perch Tilapia Dagaa25% 91% 137%
0
50
100
150
200
250Jul-09
Aug-09
Sep-09
Oct-09
Nov-09
Dec-09
Jan-10
Feb-10
Mar-10
Apr-10
May-10
Jun-10
Jul-10
Aug-10
Sep-10
Oct-10
Nov-10
Dec-10
Jan-11
Feb-11
Mar-11
Nile perch Tilapia Dagaa
Jul-10 160 145 105
Sep-10 170 152 108
Nov-10 160 161 117
Jan-11 153 180 121
Mar-11 169 204 142
![Page 19: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/19.jpg)
Communication and outreach
![Page 20: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/20.jpg)
Media and Publicity
![Page 21: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/21.jpg)
Incentives for BMUs (fishers)Provide low cost mobile phonesProvide air time credit every month support BMUs to events organized by the projectTrain selected BMUs for project data collectionProvide publicity materials e.g. T-shirts, posters,
brochuresShare revenue generated by the project with
BMUs.Attract other organizations to enhance business
capacity of the fishing community.
Provide low cost mobile phonesProvide air time credit every month support BMUs to events organized by the projectTrain selected BMUs for project data collectionProvide publicity materials e.g. T-shirts, posters,
brochuresShare revenue generated by the project with
BMUs.Attract other organizations to enhance business
capacity of the fishing community.
![Page 22: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/22.jpg)
Meeting information needs of differentstakeholders (Fishers, fish traders, farmers)Non-cooperation of some key playersPublicity & awareness creationMaintaining contribution of BMUs Dealing with highly diverse productsLack of clear standards on quality & pricing Sustaining the system
Meeting information needs of differentstakeholders (Fishers, fish traders, farmers)Non-cooperation of some key playersPublicity & awareness creationMaintaining contribution of BMUs Dealing with highly diverse productsLack of clear standards on quality & pricing Sustaining the system
![Page 23: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/23.jpg)
Sustainability
• Minimal user charger fee•Institutional ownership•BMUs play a bigger role•Private sector support•Incorporate business ideas
• Minimal user charger fee•Institutional ownership•BMUs play a bigger role•Private sector support•Incorporate business ideas
![Page 24: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/24.jpg)
RelevanceHigh demand for information servicesPublic interest nationally, regionallyWithin policy framework e.g. NFP, EACIn line with current development trendsCan incorporate new business ideas
RelevanceHigh demand for information servicesPublic interest nationally, regionallyWithin policy framework e.g. NFP, EACIn line with current development trendsCan incorporate new business ideas
![Page 25: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/25.jpg)
What is the future? A lot of interest nationally, regionally andgloballyMore information packages
Aquaculture
Fishing inputs
Scientific data e.g. SMARTFISH
Up-scaling and adapt for•East Africa & COMESA
A lot of interest nationally, regionally andgloballyMore information packages
Aquaculture
Fishing inputs
Scientific data e.g. SMARTFISH
Up-scaling and adapt for•East Africa & COMESA
![Page 26: Using ICT for fish marketing: The EFMIS model in Kenya](https://reader034.fdocuments.us/reader034/viewer/2022052505/5550742bb4c905cc0f8b4eb1/html5/thumbnails/26.jpg)
•KMFRI
•ILO
• EU
•NCST
Thanks! Asante sana
•KMFRI
•ILO
• EU
•NCST