National Dairy Development Board Anand, India. Kamlesh Trivedi

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1 Information and communication technologies for integrated animal identification, traceability, performance recording and health recording for smallholder production systems the case of NDDB in India National Dairy Development Board Anand, India Kamlesh Trivedi

2 Information Network for Animal Productivity and Health INAPH

3 Objectives Provide IT infrastructure to productivity enhancement service providing organizations Record activities of animal identification and registration, traceability, artificial insemination, milk recording, genetic evaluation, nutrition and healthcare. Provide information support to producers, field technicians and supervisors and managers of service providing organisations. Develop a national level database on productivity and health. Estimate breeding values of bulls and bull mothers centrally. Achieve maximum participation of all stakeholders including producers. Promote the use of the central database. Make use of the network for extension and education of farmers.

4 Central server Network at a glance NDDB Administration Analytical reports BV Estimation SMS Delivery XYZ Organisation/EIA Internet C E O AI Delivery Progeny Testing Nutrition Veterinary Laboratories Desktops Regional Manager District Coordinator Regional Manager Regional Manager Milk Component Testing Lab Communi- Cation Media Synchronisation GSM/GPRS Area Officers Supervisors Tech. Officer Area Officer Nutrition Lab. Handheld devices 1. Data entry 2. Data validation 3. Up-dation 4. Local output 5. Synchronization I & R Registration Movement Re-Registration Eartag Change AI Technicians AI PD Calving Other Services Milk Recorders Resource Persons Veterinarians Yield measurement Sample Collection Typing Growth Monitoring RB Individual Animal RB Group of Animals Feed &Fodder sample collection Treatment Diagnosis Testing Outbreak Other services Disease Diag. Lab. SMS Alert Messages Mobile Farmer with animals in a village

5 INAPH Application Platforms & Versions Desktop Online App Off-line App Smart Phone /PDA INAPH Netbooks Windows Tablet Android

6 Tools & Technologies Server MS SQL Server 2012 (Enterprise Edition) Desktop/ Netbook Clients Tablet Clients Handheld (Windows Smart Phones) Clients Web-based thin client Windows based application developed using.net framework. Android (4.1 Jelly beans) application. Windows based application. Windows Mobile based application developed using.net framework. SQL CE database, available with windows mobile devices. IPMSS : Infosys Proprietary Mobile Synchronization Solution. Browser (Internet Explorer) based application.

7 Deployment View NDDB, Anand Laboratory (Feed / Disease / Milk) (Web & DB Server) Via http Via http SMS Message Via GPRS / GSM / CDMA using TruSync Organisation / EIA/Service Provider Manager/Admin/CEO Field Force (AIT/MR/LRP/Vet) Farmers with Animals

8 High Level Architectural Representation The INAPH Information network solution architecture consists of the following subsystems at a high level Admin Application Windows application featuring complete Administrative functions. Desktop Main application Windows application featuring the complete functionality both for data collection and operational reporting. Laboratory Application Windows application featuring the complete functionality of Feed Sample Analysis, Milk component Analysis and Pathology Analysis. PDA Application Device application having a subset of the overall functionality primarily for field data collection and field reporting requirements. Analytical Reporting Web application. The Analytical Reports can be viewed using Web Browsers (Internet Explorer etc). INAPH MIS Tool Web based tools for need-based reports SMS Application Windows service application residing on Web server.

9 Unique Animal Identification System Animals are identified by 12 digit unique Ear tag numbers First 11 digits of Ear tag number are running serial numbers. 12 th digit is check digit Mandatory requirement for the use of INAPH Application. NDDB is centrally managing uniqueness of Animal Identification system across country.

10 Location/Geography Hierarchy As per GOI, 2011 census. State 35 District 648 Blocks 6,072 Villages 612,426 Hamlet 1,693,646 10

11 Organisation Hierarchy, Roles & Village Allocation AIT 1..n AC 1..n Supervisor 1..n MR 1..n Typer 1..n District 1..n CEO RM 1..n TO 1..n Nutritionist 1..n LRP 1..n INAPH Organisation 1..n OrgAdmn VO 1..n AVO 1..n Vety Supervisor 1..n DPA 1..n Role CEO OrgAdmn DPA RM AC Supervisor AIT MR Typer TO Nutritionist LRP VO AVO Veterinary Supervisor Name/Description Chief Exec Officer Organisation Administrator Data Processing Assistant Regional Manager Area Coordinator Supervisor AI Technician Milk Recorder Typer Technical Officer Nutritionist Livestock Resource Person Veterinary Officer Assistant Veterinary Officer Veterinary Supervisor Village 1..n Village 1..n Village 1..n Village 1..n

12 INAPH Database Security Authorised Users Authorised user Role User Organisation Organisation subscribed services Organisation subscribed States Encrypted server credentials Firewall based network security at server end. 12

13 Activity Recording & Validation Process Eartag Number Species Sex Eartag Uniqueness Geography Status (Live/ Dead) Transaction Eligibility Logical Sequence

14 Information Generation Operational Reports Data Extraction Review Reports INAPH SMS Messages Analytical Reports Alerts Graphs

15 Implementation Support INAPH Technical Team, NDDB Central Implementation Team, NDDB South Coordinator, NDDB West Coordinator, NDDB North Coordinator, NDDB East Coordinator, NDDB IT Officer, EIA 1 IT Officer, EIA 2 IT Officer, EIA INAPH Help Desk

16 Training Managers Trainers Training by NDDB Training of users by Trainers Supervisors Field Staff Refresher Training of users by Trainers

17 INAPH Adoption progress so far Punjab Haryana Rajasthan Uttar Pradesh Gujarat Maharashtra Karnataka Andhra Pradesh Tamilnadu Key Statistics as on 31 st Jul 2014 Number of Projects 85 States covered 15 Districts covered 158 Villages covered 19,284 Number of Users 15,000 Farmers Registered 1.77 million Animals Registered 3.75 million 17

18 INAPH Modules & Activities. Identification Registration & Traceability AI Delivery: AI PD Calving Genetic Evaluation: Milk Milk components Typing Fertility Health: Treatment Diagnosis Testing Disease outbreaks Vaccination Nutrition : Ration Balancing Feed Testing Lab Analysis & Examination: Milk component Feeds and Fodder analysis Diseases diagnosos Stock Management

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21 Animal Identification & Registration Animal Registration Movement (Sale, Death, Cull etc) Re-Registration (Enable) Eartag Change

22 Mehsana Buffalo being ear tagged

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24 A Herd of Mehsana Buffaloes 4/16/2015 NDDB 24

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31 Breeding Module Artificial Insemination (AI) Pregnancy Diagnosis (PD) Calving

32 AI service at farmer s door step

33 Every inseminated animal is to be identified by an ear-tag having unique number

34 Semen from A or B grade semen station and of certified bull only used

35 Record all data of AI, PD and calving on an individual animal basis through an MIS

36 AI Delivery Activities Service Period Services per Conception Conception Rate Animal, Herd, Period, Geography, User, Organisation, Bull, Semen Station Open Period Inter Calving Period Dry Period

37 Breeding Module Operational Reports 1 Animals Not Inseminated after calving(open Period > N Days) 2 Heifers Not Pregnant (Age > N Months) 3 Non-Pregnant Animals (Latest Service > N Days) 4 Non-Pregnant Animals (Services > N) 5 Non-Pregnant Animals (Open Period > N Days) 6 Pregnant Animals (Services > N) 7 Pregnant Animals (Pregnancy Period > N Days) 8 Animals to be dried off during given period. 9 Animals expected to calve during given period. 10 Calves born during the Period

38 Breeding Module Operational Reports Rp

39 Breeding Module Performance Review Report Report Generation Criteria Location wise Village Block District State Role wise AI Tech. Area Coordinator. Regional Manager Specie wise Cattle Buffalo Both Bull wise Period

40 Breeding Module Operational Reports Rp

41 Breeding Module Performance Review Report

42 Nutrition Module 1. Ration Balancing ( Individual Animal ) 2. Ration Balancing ( Herd ) 3. Feed & Fodder Sample Collection 4. Feed Sample Analysis.

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45 Nutrition Module Ration Balancing Objectives 1. Balanced ration for meeting nutritional requirements of the animal based on locally available feed resources. 2. Cost minimization of the Balanced Ration, using Linear Programming technique. 3. Increase in net daily income of the farmer.

46 Nutrition Module Ration Balancing Nutrients to be Balanced Crude Protein (CP) Total Digestible Nutrients (TDN) Calcium (Ca) Phosphorous (P)

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51 Nutrition Module Operational Reports 1 Village wise Ration Balancing done for a given period. 2 Village wise Feed samples analyzed for a given period. 3 Samples pending for testing. 4 Summary of Analysis work done. 5 Region-wise summary of Analysis work done.

52 Thank You