AGRICULTURAL INFORMATION AND DISSEMINATION

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AGRICULTURAL INFORMATION AND DISSEMINATION SPARK MULTI-TECH and AIRTELL RWANDA Presented by Frederic Muliisa & James Munanura 28 TH NOVEMBER 2014.

Transcript of AGRICULTURAL INFORMATION AND DISSEMINATION

AGRICULTURAL INFORMATION AND DISSEMINATION

SPARK MULTI-TECH and AIRTELL RWANDA

Presented by Frederic Muliisa & James Munanura

28TH NOVEMBER 2014.

AGRICULTURAL INFORMATION

• MAIN RWANDA GOV’T POLICY DOC. ON AGRIC. (SPAT II).

• SPAT II & RWANDA GOV’T FUND CICA.• Agricultural Information and Communication

Centre –CICA.• PARTNERS: All Actors in Agricultural sector.• FUNDED BY: Government of Rwanda

( MINAGRI ) & SPAT II

OBJECTIVES OF C.I.C.A

• Regularly collect, • Produce, • Process ,• Adapt ,• Store, • Share and • Disseminate Agricultural Information and

Knowledge.

CICA OPERATIONS

CICA RE-DIRECTS ITS DATA TO COUNTRY-STAT

COUNTRY-STAT

• UNDER F.A.O. (Food and Agriculture Organization of the United Nations).

• Statistical framework and applied information system for analysis and policy making.

• Designed to organize, integrate, disseminate data and metadata on Food and Agriculture.

• Gathers and harmonizes statistical information so that data at national level is compatible with international standards.

How country-stat works.

• The Country STAT approach is based on the application of data and metadata standards of FAOSTAT and GAUL (Global Administrative Unit Layers).

• Many countries interested and adopting it into their national statistical system.

• Country STAT is accompanied by networking with FAOSTAT and other sister information systems like FENIX.

• FAOSTAT Certified and internationally accepted.

HOW COUNTRY-STAT WORKS

HOW SPARK MULTI-TECH INTENDS TO WORK WITH CICA AND COUNTRY-STAT• Country-stat data is open access.• CICA/SPARK MoU in progress regarding data

access and use.• Data from CICA and Country-stat will be

interpreted and translated to local Kinyarwanda.

• Verification and certification by CICA and MINAGRI.

BASIC METHODOLOGY

BASIC METHODOLOGY-SPARK

DATA AT CICA NOT YET TRANSLATED TO KINYARWANDA

OTHER SOURCES OF AGRIC DATA (NAEB)

Expectations from Spark

• Processing data into meta-data• Dissemination of information via Short Code• Dissemination of information via USSD• Database management • Website management

VIA SHORT CODE• Spark hold over 50 key words which when

called via an SMS return an intended message to the consumer. eg

1. TYPE IKAWA 2. SEND TO 7010

• IKAWA is the key word in this instance and it shall return the intended message say;

Ubuhinzi bw’ikawa mu Rwanda buri ku rundi rwego kubera ikawa y’uRwanda yingiza amafaranga menshi cyane

• Spark shall design the key words and update these regularly to ensure up to date information is disseminated to the end users.

• TIGO shall play the role of pushing the key words to the users who then shall get an idea of the exact key words to obtain. Given the information to disseminated is a lot, for each of these key words we intend to update the information corresponding to the 'KEY WORD' regularly for the information to remain relevant.

VIA USSD

• USSD should capture more information than the keywords used under the short code as it is allowed 4 screen shots on a mobile phone. Under this we shall include the different types of information to be captured.

Dial *771#

Choose your option

Welcome to TIGO Agriculture(i)Livestock(ii)Cash Crops(iii)Seasons(iv) Weather Forecast(v)Commodity Prices(vi)Agricultural ContactsReply with (i) , (ii),(iii),(iv),(v)& (vi)

PRESS (i)

Welcome to TIGO Agriculture(i)Information(ii)Cattle Products(iii)Goat Products(iv) Piggery(v)Poultry ProductsReply with (i) , (ii),(iii),(iv) & (v)

PRESS (i)

The leading livestock products in the country are; beef, eggs, chicken and milk. Rwanda produces over 1 million litres of milk per annum, plus exports over 20 metric tonnes of beef to neighbouring states.

DATABASE MANAGEMENT

• Using a Data Base Management System that will help to store, modify and extract information from the database.

• Spark database is made up of Keywords and the information that is updated onto the keywords and it is still growing.

• All this is stored on a Database Server. A Database Server is the back-end system of a database application which runs on a client server (PC)

• The back-end management will be done by qualified and well trained Spark IT personnel.

• Information from the database will be availed to TIGO and other stakeholders stipulated in the contract through a login username and password.

TEAM• James Munanura-Lead Content Developer-MSc. Biochemistry (Makerere University-

Uganda).-BSc. Food Science and Technology. (KIST.

Rwanda)-Adv. Diploma.(A1). Agriculture. (BNAC. Uganda)-Cert. Organisation Management(Larenstein University. Netherlands)

TEAM• Alex Mubangizi-Content ManagerOver 8 years in the VAS business and majorly in

the roll out of agricultural information in Uganda in 2006.

• Ivan Mujere-Content Assistant ManagerOver 6 years experience in the VAS business

working different VAS providers both in Uganda and Rwanda.

TEAM• Frederic Muliisa(ACCA, CPA)-Team LeaderOver 4 years experience in audit and financial

management.• Frank Gatete-Coordinator

Q & A