The Future of Software Development - Devin AI Innovative Approach.pdf
Baif pune
1. Use of
modern information technology tool
(mobile)
in
agriculture extension program
BAIF’s experience
Dr.R.L.Bhagat
2. Our mission:
To create opportunities of gainful self-
employment for the rural families,
especially disadvantaged sections,
ensuring sustainable livelihood, enriched
environment, improved quality of life and
good human values.
This is being achieved through development
research, effective use of local resources, extension of
appropriate technologies and up-gradation of skills and
capabilities with community participation.
1920-1993
4. Livestock program coverage
State Dist. CDC
No.
Total
Family
Total A.I.
M.S. 19 285 94054 218701
Guj 23 219 384568 146177
Kar 21 226 466082 180586
Raj 18 422 596646 414643
M.P. 19 120 40452 42506
A.P. 11 152 100728 118504
U.P. 75 1043 2788022 1053583
U. Khand 12 120 246435 66517
Bihar 15 252 175000 233826
Jh. Khand 24 710 303345 169251
Odisha 10 100 24964 29120
Punjab 5 100 42815 107038
Total 252 3,749 52,63,111 27,80,452
5. Data captured at each CDC
At the time of Artificial Insemination (A.I.):-
Farmer name, address
Animal name/ tag no.
Date of A.I.,
Name sire used for A.I.,
Semen Mfg. date,
A.I. charges,
Milk given on A.I. date,
distance covered,
Heat symptoms.
On Pregnancy Diagnosis :-
Follow up date and result
After Calving :-
Calving date, calf sex, calving type, calf status
Semen stock per month
6. Need of automation :
Catering varying reporting requirements of
sponsors
Quicker and accurate data compilation
Reduction in CDC expenses in long run
Monitor CDC performance
Test technical interventions
Generate data for new technology testing
Effective implementation of field research
7. First Model 2006
• Bulky device
• Code based entry and display
• Limited scope of operation
• Not found user friendly
• Battery back up period was short
• Battery being outside, handling was
difficult
• Difficulty was faced in carrying the unit.
• Improvements were tried the next unit
Experience:
8. Second Model
◦ Problems in display.
◦ Battery problem could not
be sorted out completely
◦ Smaller data storage
capacity due to weak
internal battery.
◦ As a solution
◦ Simputer developed by
C-DAC was also tried
Experience
9. After 2 years: 1st time mobile use
Decided to use PALM for data capture
• An I. T. professional was hired
• as consultant
Satellite Form as a developing tool
Smart phone Palm Treo 680
Development of software
Software Testing & Implementation
Software testing done
After extensive testing
implemented at 4 centers
10. Features
Uploading facility
Down loading facility
Handling more convenient
More enthusiasm noted at
field technicians
Limitations:
Requires specific type of software (Palm OS)
Inclination to use entertainment facilities
Frequent failure of power adaptors (chargers)
Shortage of memories
Difficulty in getting spare parts
switching from Palm to window OS based devices
11. Prerequisites for software
Mobile
Touch screen c Window 6.5
PC with
Min. 1 GB of RAM &
Windows XP or
later version operating system
Dot Net framework
2.0 or later version.
SQL Server
Express edition with service pack 3.
12. CDC
(Unique ID & separate mobile)
Village-1
Farmer-1
Animal-1
Animal-2
Animal…. n
Farmer-2 Farmer …. n
Village-2 Village …n
Master tables on mobile at CDC:
Animal name / Tag No., Species,
Breed, DOB, Lact. No., Last calving
date, Calving type, Dam, Sire,
Farmer name, Sex, Contact No., Cast,
Economic status, Land Holding
Master
Lists
Master Lists
Master
Lists
13. Networking of mobile & data transfer:
State Office
CDC
Area Office
CDC
CDC
CDC
Area Office
CDC
CDC
CDC
Area Office
CDC
CDC
State Office
Central Office
14. Information flow:
CDC
• Information captured at time of each
A.I. & follow-ups on Mobile
Area Office
• The information imported Monthly on
PC
State Office
• The information imported Monthly on
Server
Central
Warehouse
• The information imported Monthly on
Server
14
15. Advantages:
Once master lists
entry takes hardly one minute.
Almost 80% master lists
3 to 4 months .
First hand data entry
Saves data entry errors
collected through paper work.
Pending list of follow-up
Pregnancy diagnosis & calving
automatically generate & alarmed to I/c. CDC
Monitoring
AFC, Open period, Ser. period, Inter calv.
period,
Required data available all the time
16. Advantage:
Being Mobile
Used getting A.I. calls from farmers
Centre in charge is able to avoid
inbreeding
as he can see sire of progeny
Before A.I.
Elimination of paper is possible
CDC in-charge get on the spot information
of
A.I. done during any given period
Progeny born during any period
Bull wise/ species wise A.I.
Bull wise/species wise semen used
Bull wise/species wise pregnancy
17. Number of villages covered within a centre
Village wise number of farmers availing breeding services
Economical status wise number of families (APL/BPL)
Social strata-wise number of families (Caste, Tribe etc)
Number of landless and land holder families
Breed wise number of breed-able cattle / buffaloes
Average distance covered per AI
Number of AI required per pregnancy
Number of AI required for getting one female calf
Disposal status of animals (Sold/died/Transfer) and reasons like fodder shortage,
better price for animal, surplus animal, problem breeder, low yield etc.
Calving type (Normal, Assisted, etc.)
Centre performance i.e. Number of AI, PD, calving / month / year ,
Breed-able population covered within centre jurisdiction etc.
Efficiency of centre in charge i.e. number of pregnancies per 100 AI .
Breed-wise/ Sire wise number of semen doses used.
Semen wastage and reason of semen dose wastage like leakage, empty straw, half
filled straw, bursting at the time of thawing. Etc.
Sire evaluation i.e. number of progenies born, disposal of progeny and their reasons
like sudden death, still birth twin birth, natural deformity etc.
AI and other charges ( sale of mineral mixture, de-worming vaccination etc. collected
Technical information of heat symptoms at the time of AI which helps advising farmers
regarding animal status.
Output generated:
18. Once master list is prepared further entry takes hardly one minute.
Almost 80 % master lists are generated within 3 to 4 months
First hand data entry saves mistakes / errors while entering data in PC
collected through paper work.
Pending task automatically generate
Reminds to user
Tracing of progeny of sire is possible.
Monitoring in terms
open period, service period, Inter calving period is possible
User able to avoid inbreeding
as he can see the sire of progeny before the time of AI.
The centre in-charge is able to get instant ( On the spot) information on
Number of AI done during any given period
Number of pregnancies
Bull wise/ species wise AI
Bull wise/species wise semen used
Bull wise/species wise pregnancy
Amount /Levy collected.
List of Registered / Unregistered farmers.
Benefits to User
19. Data captured through mobile (Jan 06 to Dec 12)
Project name States No. of Mobiles Total A.I.
Godhan U.P. , Bihar, M. S. 160 2,92,000
Govt. of India Bihar & U.P. 200 5,98,905
State Govt. Jharkhand 400 2,07,118
PALM (old) Maharashtra 25 1,20,000
Total 785 12,18, 023
Receiving A. I.
call
Animal herd Data entry transactions
20. Future Scope
Trying to use web based real time system.
Cost effective comparison among different
technologies
◦ On line, offline, web based etc
Long term durability.
Explore to use motor cycle mounted
chargers
Project specific data capturing.
21. CPC
Semen Collection
details
R&D Team
Field Officer
AI Details
AI Appointment
Livestock Info
Farmer Info
Village Info
Pending Task
Revenue Details
Web based mobile process flow chart
Web Server /
Database
Bull Details
Semen
Inventory
Alerts
Calf Info
Top Management
Farmer
Veterinary
Doctor
SM
S
22. Real time updates, available online & on mobiles
Secured access from anywhere, anytime.
Easy to plan, track & report on schedule.
can be added notes, email alerts and priorities
can track resources, risks, changes and issues
Graphical charts provides reports at a glance
help to manage people, materials and equipment
can be created customized project reports
Features of new mobile application
23. Internet connectivity and mobile range
In rural & remote areas
Cost effectiveness
Recurring cost like
server rant, net charges etc
Being other’s server data security?
Data retrieve time and time require
Complete the transactions
Data handling capacity
Issues need to address: