22
Kenya Agricultural & Livestock Research Organization Open Data and Open Science in Agriculture: Management Dr. Lusike Wasilwa

Open Data and Open Science in Agriculture: Management

Embed Size (px)

Citation preview

Kenya Agricultural & Livestock Research Organization

Open Data and Open Science in

Agriculture: Management

Dr. Lusike Wasilwa

KALRO: 16 Institutes, 47 Centres & 4,000 staff capacity (600 scientists)

1. Food Crops Research Institute2. Industrial Crops Res. Institute3. Horticulture Research Institute4. Tea Research Institute5. Coffee Research Institute6. Sugar Research Institute7. Genetic Resources Res. Institute8. Biotechnology Research Institute9. Apiculture Research Institute10. Dairy Research Institute11. Beef Research Institute12. Non-ruminant Research Institute13. Sheep and Goat Research Institute14. Veterinary Research Institute15. Agriculture Mechanization Res. Inst.16. Arid and Rangelands Research Inst.

Evolution of Research – Enhanced interaction with value chain actors

Productivity challengesProductivity challenges Market challengesMarket challenges

Policy and institutionalenvironment

Policy and institutionalenvironment

InputSuppliers

Technology D

evelopment

Production

Collection /Processing

Distribution

Wholesaling

Retailing

Natural resourcesPhysical environment

Natural resourcesPhysical environment

Channels of Communication

Communication of Results

Journals

Books

Technical notes

Brochures

Fact sheets

Posters

Annual reports

FarmerMagazines

Policy Briefs

Channels of communication

Communication of Results

Websites

Blogs

Twitter, Facebook

E-Rails

Newspapers

Shows and Exhibitions

TV and Radio

Song and Poems –

KALRO Choir

KALRO Website Hosts/Links

KAINETKenya Pollination

NetworkRice Knowledge

BankKALRO E-MimiRepository

KALRO InstitutesUniversitiesEAAFJConferencesKALRO E-

Marketplace???

Methods Used to Collect and Share Data

KARI E-Mimea (Plant) Clinic website launched in June 2013 that provides real-time information pest and disease management

SMS platform(Code 21336)

Developed an SMS platform for answering farmers questions on pest and disease management

System is currently being upgraded

E-RAILS http://www.erails.net

E-RAILS question and answer service supported by FARA. Questions are regularly answered

Plantwise ExamplePests and diseases

cause considerable loss of crop yield

Pests accounts for pre-harvest losses of 42% (15% attributable to insects; 13 % to weeds and 14 to plant pathogens)

Information flow

Plant clinic register information flow to and from farmers

Flow of other information e.g. market data from clinics

Information from plant doctors and farmers and various stakeholders

Information flow between stakeholders

Input supply

Research

Farmers

Regulation

`

`

Extension

Plant clinics

Source: Plantwise, 2012

Paper form completed

Scan paper form

PDF image

Keyboard paper form

Excel spread sheet

Intelligent Character

Recognition software

Access Controlled Knowledge Bank Database (with Excel exports)

Raw data(standard format)

HarmonisationValidation

Verification for character

accuracy

Public Access Knowledge

Bank Database

Detailed analysis of

crops, locations,

pests, outreach, gender,...

Quality analysis

of clinic

performance

Basicanalysis

ofclinics

Country controlled

filter

Verification for character

accuracy

Plant DoctorsClerical Staff National Data Coordinators

Data Transfer ManagersAssistance from Knowledge Bank

National Data CoordinatorsNational Data Validators

Assistance from Knowledge Bank

Transfer Verification

Harmon-isation

Validat-ionSharing

Recording

ANALYSISANALYSIS

ANALYSIS, PREDICTION

AND MODELLING

Source: Plantwise, 2012

Paper form completed

Scan paper form

PDF image

Keyboard paper form

Excel spread sheet

Intelligent Character

Recognition software

Access Controlled Knowledge Bank Database (with Excel exports)

Raw data(standard format)

HarmonisationValidation

Verification for character

accuracy

Public Access Knowledge

Bank Database

Detailed analysis of

crops, locations,

pests, outreach, gender,...

Quality analysis

of clinic

performance

Basicanalysis

ofclinics

Country controlled

filter

Verification for character

accuracy

Plant DoctorsClerical Staff National Data Coordinators

Data Transfer ManagersAssistance from Knowledge Bank

National Data CoordinatorsNational Data Validators

Assistance from Knowledge Bank

Recording Transfer

Data Collection, Standardization and Communication

Capacity building of plant doctors on use of record and prescription sheets

Standardized data collection in all plant clinics

Digitization of collected data scanning in clinics

Nominated County cluster coordinators

Source: Plantwise, 2012

Knowledge Bank (KB)

KB clinic support tools

Clinics data collection

Content/data CABI, KALRO, MoA and KEPHIS

KB open access

Reports, metrics, impact

Improved diagnostic and management tools

Improved data mapping, analysis and reporting tools

Clinics admin tool

Acc

ess

con

tro

l

Source: Plantwise, 2012

Incidence of Maize Lethal Necrosis Disease (MLND) in Kenya (May 2013)

Bomet, First report of MLND, Sept 2011

Areas MLND reportedDecember 2012

Status of the diseasenot confirmed (May 2013)

?

?

?

?

?

?

Source: KALRO MLND project, 2013

Advantages

Increase visibilityIncreased chances for

partnership and collaboration

Avail relevant data for wide use

Use to develop outputs for local use

Form an organization repository

Challenges

CostManpower for data

collection and maintenance

Means to prevent data loss

Strategies for managing feedback

Type and format of data, papers etc.

Access of data from individuals

Access of data from collaborators, consortia

Ensure no plagiarismIncrease use of data for

generation of knowledge

Continuous surveys/reports on data use

Reach all Actors in the Value Chain

Inputsupply

Technologygeneration and dissem

ination

Production

Processing

Distribution

Consumption

201520122009200620032000

THANK YOU