Now a days new apps and applications came into existence which are routinely using by public..in this context use of these software tools and android applications can be exploited to help the farming community for real time solutions without any gap in transfer of IPM information.This ppt useful to know the areas and forms of usage of computers in IPM.

1. Date: 10-05-2016

2. Computer programming is the process of designing, writing,
testing, debugging and maintaining the source code of computer
programmes.
It involves writing source code in programming languages with an
aim to create a set of instructions that computers use to perform
specific operation.
Other two terms often used are database and database
management system.
An organised collection of data for one or more purpose usually
in digital form is known as database. The use, creation and
maintenance of the database using software packages with
computer programmes is called as Database Management
System(DBMS).
The acronym’’ DBMS” is universally understood with Information
technology(IT)
(Dhaliwal et al., 2013)

3. Other www
based systems

4. • Computer applications in Integrated Pest Management,
popularly known as IPM informatics.

5. DDATA
DATA SYSTEM
SOFTWARE
Data creation
Data update
Generation of document
Summary, Analysis
Chart& report
generation
What- if ? Analysis&
Decision support Information
searching
• Collection of interrelated data and a collection of programmes to access that
data
• A suitable software package – starting point of data base system
• Database systems use a similar set of commands and functions
• Data & procedures for maintaining and using the data files are the two parts
of database systems

7. • Mealybug Awareness programme for Punjab (2008)
• e-pest surveillance of soyabean and cotton in maharastra (2009-2010)
• Awareness-cum-surveillance programme for the management of major pests of rice in
Odisha (Kharif,2011)
1. Database on package of practices of Indian crops
2. Crop Pest Surveillance and Advisory Project (CROPSAP) - Maharashtra
3. Horticulture Pest Surveillance and Advisory Project (HortiSAP) - Maharashtra
4. Online Pest Monitoring and Advisory Services (OPMAS)
5. e-National pest reporting and alert system for pigeonpea and chickpea
6. Pest and disease dynamics in relation to climate change
7. Expert System for Brinjal and Tomato

8. Mealybug Awareness programme for Punjab (2008)
Sudden emergence of mealy bug during 2006-07 and 2007-08 in Gujarat and Punjab was
increased the cost of plant protection.
Weekly data on mealy bug was collected from 320 villages in eight districts of Punjab
through mail which was processed and put on the NCIPM website
In Mealy bug Awareness Programme – Punjab, four trainings of two days each were
conducted and 1000 copies each of Hindi and Punjabi DVDs on “Kapas mein mealy bug ka
samekeet prabhandhan” were made and distributed to all State Agricultural Departments,
CIPMCs, SAUs, Private seed and pesticide industry representatives, NGOs, etc.
An online software programme was developed in the NCIPM website i.e.,
www.ncipm.org.in/NISPM in 2008.
(Annual Report NCIPM,2008-09)

9. e- pest surveillance of soyabean and cotton in maharastra
(2009-2010)
 E-pest surveillance system was implemented
in 30 lakh hectares each of soybean-cotton
and 10 lakh hectares each of pigeonpea and
chickpea in Maharashtra during Kharif and
Rabi seasons, respectively.
Fig: Impact of Surveilance on Soyabean
production
Annual report-NCIPM (2010-11)

10. • A total of 10 % of the total
area of 17.38 lakh ha paddy
spread over 17606 villages in
13 intensive rice growing
districts was sampled for 23
pests on weelkly basis.
• The programme resulted in
the development of
centralized database and
client software, online
reporting, advisory and
tracking system, GIS based
mapping system, and display
of current and the entire
season’s pest scenario on
NCIPM website.
Annual Report-NCIPM (2011-12)

11. Information is available on pest, disease management,
nutritional deficiency and physiological disorder in different
crops being grown in India
(www.ncipm.org.in/agroweb)

12. CROPSAPCROPSAP
Crop pest surveillance and advisory project (CROPSAP) for soybean, cotton, rice,
pigeonpea and chickpea in Maharashtra has been implementing from 2008-2009.

13. With help of Department of Horticulture, Govt. of
Maharashtra Horticulture Pest Surveillance and Advisory
Project (HortiSAP) covering mango, pomegranate, Banana,
santra and sweet orange in 3,61,647 ha.
HORTSAPHORTSAP
Annual report NCIPM (2014-2015)

14. GIS based automated pest mapping in Maharastra
Started in the year:2010

15. OPMASOPMAS

16. e-National pest reporting and alert system for pigeonpea and chickpea
 Started in the year 2010 for Accerelating the pulse production This system is proactive
http://www.ncipm.org.in/A3P/ UI/HOME/Login.aspx) and has inbuilt system of
decision support system and dissemination of Advisories to individual farmers through
SMS (containing warning as well as advisories in local languages).
 A total of 10767 SMSs in the form of crop health management advisories were sent to
the farmers of 13 states in different regional languages.

18. (http://www.ncipm.org.in/nicra/ForewarningSystem/Technologies.asp)
• Real time pest surveillance (RTPS) in ‘pest and disease dynamics in relation to
climate change’ under NICRA
• NCIPM-NICRA Pest and disease forewarning for target crops (rice, pigeonpea,
groundnut and tomato) using modeling approaches.

19. http://www.ncipm.org.in/EXSYS

21. • Crop Pest DSS The ‘Crop Pest DSS’ developed under National
Agricultural Innovation Project for issuing pest forecasts in rice and
cotton crops.
Crop Pest Decision Support System -CRDIA
http://www.crida.in:8080/naip/index.jsp

22. (http://www.drmr.res.in/fasalsuraksha/index.php)
 Database containing information
about 11 diseases and 10 insect
of rapeseed-mustard and 80 color
images of various symptoms of
diseases and insect- pest.
 The system involves two main
sub-tasks, namely, diagnosis and
management.

23. It is a web-based application system developed by the University of
Agricultural Sciences, Raichur- Karnataka.
It facilitates flow of information from the farmer to the farm scientist
and back. "The idea behind creating e-SAP was to help the extension
worker, to collect specimens right from the farmer's field and send it to
the scientists and experts in real time,
e-SAP will make the work of the extension service worker easy, enhance
their efficiency and at the same time provide the farmers with solutions
right in his field in real time.
it has a voice-based application system, which guides the farmer and the
extension worker in the local language about how to collect the data and
the specimens.
It also allows the extension worker and the farmer to do a survey of the
pest attack or related problems right in the field, which is then
automatically synthesised in the form of graphs and tables along with the
decision support intelligence
Electronic Solutions against Agricultural Pests (E-SAP)Electronic Solutions against Agricultural Pests (E-SAP)

24. ADVISORY SURVEILANCE UNKNOWN PEST FARMER DETALIS

25. Data retrival GIS maps
Graphs Raw data

26. Implementation of E-SAP

28. Agritech.tnau.ac.in

29.  With a view to provide technical knowledge to the extension functionaries and
farmers in the States, Directorate of P.P.Q&S. has developed 77 IPM package
of practices for different crops with the latest research inputs from State
Agricultural Universities (SAUs) and Indian Council of Agricultural research
(ICAR)
http://farmer.gov.in/ipmpackageofpractices.html

30.  ikisan is an agricultural portal maintaining by the Nagarjuna Fertilizers
and Chemicals limited. It provides online, detailed content on crops,
crop management techniques, fertilizers & pesticides and a host of
other agriculture related material. Latest updates on related markets,
products, weather forecasts are also available
Enable the farmers to net work with other farmers, suppliers and
consumers across the world
http://www.ikisan.com/agri-informatics.html

31.  Services started from 1986-87

32. Database systems in abroad

33.  EPPO is an intergovernmental organization responsible for European
cooperation in plant protection in the European and Mediterranean
region.
EPPO maintain the following Data bases:
EPPO standards on efficacy evaluation of plant protection products
PQR-EPPO database on quarantine pests
EPPO Plant Protection Thesaurus
EPPO database on Diagnostic expertise

35. Distance Diagnostic and Identification System
• The web based Distance Diagnostic and Identification
system (DDIS) provides a colloboration and communication
tool for extension agents, first detectors, specialists and
diagnosticians to share information on plant diseases and
other pests In Florida
• The system uses field data and digital media as a tool for
enhancement of diagnosis of plant disease, insect, weed,
invasive species, plant management, physiology and
nutrient problems.
(http://edis.ifas.ufl.edu/topic_ddis)

37. (http://ipmnet.org/codlingmoth/)

38. • Appropriate Technology Transfer for Rural Areas (ATTRA) is a
program developed and managed by the National Center for
Appropriate Technology (NCAT). Headquartered in Butte, Montana.
• NCAT developed a database highlights reduced risk materials that
can be integrated with ecological pest management strategies.

39. Database developed by IOBC
Categorize the pesticides into different toxicity classes based on lethal as well as
sublethal effects on natural enemies
(http://www.iobc-wprs.org/ restricted_member/toolbox.cfm)

40. • Developed by Deparment Of Natural Resources And Environmental
Sciences, University Of Illinois
Practical goal
EDWIP offers information on fungi, viruses, protozoa, mollicutes,
nematodes, and bacteria that are infectious in insects, mites, and
related arthropods
EDWIP also includes the information on where associations have
been observed, stages and tissues of hosts infected and habitats and
host ranges of arthropod hosts
Improving and expending microbial control of arthropod pests
Assesing potential risks posed by microbial control agents
(http://insectweb.inhs.uiuc.edu/pathogens/edwip)

41. • Based on integrating e- mail, web sites and data bases,
provides an electronic means for sharing immediate pest out
break alerts, forecasts and other timely information between
growers, field personnel, extensionists, and researchers
• The system encourages to improve pest management
decision- making by stakeholders
• Provide information on pest development status and build up
levels of bio control agents, and other pest- related
occurences
• This integrated system encourages development of area wide
integrated pest management programs
(http://ippc.orst.edu/pestalert)

42. www.ipmnet.org/index.htm
 Rich source of IPM resources
 Web links are available for getting information from national as well as international
organizations.

43. Developed by USDA
The vary purpose of the EIPMDSS program is to support development
of expert systems that help, guide, demonstrate and multiply impacts
of USDA supported IPM programs
 IPM PROGRAMS thus facilitate
1.Improve cost benefit analyses
2.Reduce human health risks from pests and related management
strategies
3.Minimize adverse environmental effects from pests and related
management strategies
(USDA, 2012)

44. Model: A model is a simplified representation of a system or a
process. These are conceptual or mathematical devicies that
aim to describe or stimulate natural processes.
PEST MODEL : Any representation of one or several processes
associated with pest development & control is termed as pest
model These tools will provide a special form of information
A great advantage of computer modelling is that it permits
experimentation with mathematical representations of real-
world systems which would be risky, difficult and expensive
with actual systems Models can be used and categorized
according to particular needs and perspectives

45. Classification of Models

46. Statistical Models Commonly used for system
analysis
 Regression models
Multiple regression models
 Experimental designs These are purely based on
empherical observations
1. Statistical models :

47. 2. Mechanistic Models
• It deals with biological & ecological mechanisms or process that
underline pest population dynamics, damage and control.
• More suitable for expressing hypothesis about the reasons for
pest outbreaks It
• includes:
Analytical models
Simulation models
Rule-based models
Phenological models
Inferential modes
Spread sheet based models

48. A) Analytical Model
These are mathematical models based on differential
equation the results of the models can be written as
algebraic expression involving parameter values
These are used as tools for developing pest
management principles & ecological theory
Use: developing host parasitoid relationship for
sustainable bio control

49. B) Simulation Models:
Simulation models Most widely used in Agricultural
Pest management.
It involves simulation of the population dynamics
of crops, pest, natural enemy of the pests or
combination of these.
 Used for forecasting of pest population changes

50. Conclusions
Computer programming enables collaboration and information
sharing on an unprecedented scale.
Becoming a prime medium for research and extension
communication.
No other medium offers such ability as simultaneous real-time
weather information, multimedia, analytical processing and
multi-way discussion and feedback
Many of the resources are available but there is need for proper
integration
Future advances in IT and computer programming would lead to
precision In pest forecasting and develop sustainable pest
management.

51. THANK YOUTHANK YOU