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MASTER SEMINAR
ON
Course Incharge:
Dr. E. Narayana
Prof. & Head (Agronomy)
Speaker:
K.SREENIVASA REDDY,
BAM-17-08.
APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGY
(ICTs)TOOLS IN MODERN AGRICULTURE
AGRICULTURAL COLLEGE: BAPATLA – 522 101
ACHARYA N G RANGA AGRICULTURAL UNIVERSITY
FLOW OF SEMINAR
Introduction
What is ICT ?
Benefits of ICT
Use of ICT in Agriculture?
Developments of ICT in Agriculture
Review of literature & Case Studies
Conclusion
4
World No: 2 - Agricultural Output
18% of the Worlds Population
Lack of infrastructure
Unexpected Weather Changes & Rains
Poor Access to Credit & Labour
Crop Diseases& Pests
Lack of Technological tools
Lack of Scientific Farming
Inefficiency across the value chain
4
Major challenges to “Agriculture Sector” in India
India is facing certain “Agricultural Challenges” that must be resolved as soon as possible,
such as:
Irrigation
Climate change
Poor socio-economic conditions
Inadequate use of farm equipment
Small-land holdings
Lack of marketing channels
Inadequate use of technologies (ICTs)
5
3
Ganapati Raju
Age: 55
Village: Bommuru,
Guntur
Land: 2 Acre
Crops: Cotton, Pulses,
Maize
June
When will
Monsoon
arrive?
Will it Rain
on time this
year?
Will there be
enough number
of rainy days?
Multiple
questions –
changes with
time
?
Which
Variety ?
Which Crop
to sow ?
“Cotton”
“LAM-HYBRID 5”
Crop
Challenges faced by a farmer at various crop stages
6
4
Ganapati Raju
Age: 55
Village: Bommuru,
Guntur
Land: 2 Acre
Crops: Cotton, Pulses,
Maize
June
Multiple
questions –
changes with
time
? July
What to do
for change in
rain pattern ?
Temperature
too high?
Wind too
high?
Soil humidity
too low?
Where is
labor ?
Where is
credit ?
Credit Weather Labor
Crop
Challenges faced by a farmer at various crop stages
7
5
5
Ganapati Raju
Age: 55
Village: Bommuru,
Guntur
Land: 2 Acre
Crops: Cotton, Pulses,
Maize
June
Multiple
questions –
changes with
time
?
Aug
July
Credit Weather
Crop
Water
Fertilizer
to irrigate?
Which
fertilizer?
How
much
fertilizer?
How
much
Labor
Challenges faced by a farmer at various crop stages
8
6
Ganapati Raju
Age: 55
Village: Bommuru,
Guntur
Land: 2 Acre
Crops: Cotton, Pulses,
Maize
June
Multiple
questions –
changes with
time
?
Sep
Which
pest?
Which
Pesticide?
How
much?
Organic or
inorganic?
Aug
Credit Weather
Crop
Water
Fertilizer Pest
Labor
July
Challenges faced by a farmer at various crop stages
9
7
7
Ganapati Raju
Age: 55
Village: Bommuru,
Guntur
Land: 2 Acre
Crops: Cotton, Pulses,
Maize
June
Multiple
questions –
changes with
time
? July
Oct
Where to
sell ?
How much
to sell for?
How to store
what is
remaining?
Sep
Aug
Credit Weathe
r
Crop
Water
Fertilizer Pest
Labor
Logistics
Challenges faced by a farmer at various crop stages
10
8
Will it Rain
on time this
year?
Will there be
enough number
of rainy days?
Which
Variety?
Which Crop
to sow ?
What to do
for change in
rain pattern?
T
emperature
too high?
Wind too
high?
Soil humidity
too low?
Where is
labor ?
Where is
credit ?
Which
Fertilizer
?
How much
to irrigate
How
much
Fertilizer
?
Which
pest ?
Which
Pesticide
?
How
much ?
Organic or
Inorganic
?
Where to
sell ?
How much
to sell for?
How to
store what
is reaming
?
There are so
many
Questions to
beAnswered
I need a
“Google” of
Agriculture!
How to solve these challenges
?
11
9
4
Does ICT
Strengthen
Opportunities in
Agriculture ?
]
[
[ ]
ICT reduces
opportunities in
Agriculture ?
12
10
ICT (Information & Communication Technology) is an umbrella term that includes any
communication device or application, encompassing: radio, television, cellular phones,
computer and network hardware and software, satellite systems and etc, as well as the various
services and applications associated with them, such asvideoconferencing and distance
learning.
The phrase ICT
was coined by
Stevenson in
1997
13
11
Timely information on weather
forecasts and calamities.
Marketing exposure and pricing.
Improved networking and
communication.
Better representation at various
forums, authorities and platform,
etc,.
14
12
1975 – 80 : Programming / Drill & Practice –Programme
1985 – 90 :Computer Based Training (CBT) with Multimedia
CDROMs / Interactiveness
1990 – 95 : Internet based Training–Learners Convenience/
online Support
1995– 00 : e-Learning LMS / Online courses /
Delivery
2005 – 10 : Web 2 / Open Source Software–Blogs, Wikis, Facebook /
Depositories / Virtual Libraries
2010 – 18 : Cloud Computing / Apps / IoT / Big Data Analytics–Instant
Messengers / Networking / Data Mining & Decision Making
ICT Developments
15
13
ICT platforms
• ITC e-Chaupal
• Farmers’ Portal
• Kissan call center
Mobile apps for agriculture
• Kisan Suvidha
• PUSA Krishi
• Agrimarket
• IFFCO Kisan app
• Kheti-Badi
• Mandi trades
16
14
Global Positioning System satellites broadcast signals that allow GPS
receivers to calculate their position. This information is provided in
real time, meaning that continuous position information is provided
while in motion.
A geographic information system is an organized collection of
computer hardware, software, geographic data, and personnel to
efficiently capture, store, update, manipulate, analyze, and display all
forms of geographically referenced information.”
What is GPS, GIS, Remote Sensing,
A.I & IoT
17
15
Remote sensing is the science and art of acquiring information about
the earth’s surface without actually coming in contact with it.
AI (artificial intelligence) is the simulation of human intelligence
processes by machines, especially computer systems. These processes
include learning, reasoning.
The internet of things (IoT) is a system of interrelated computing
devices, mechanical and digital machines, objects, animals or people
that are provided with unique identifiers (UIDs).
18
16
Expert System
Components
1. Doctor - Artificial Intelligence
2. Decision Support System
3. Static Information
• Rice Knowledge Bank-IRRI
• SOYABEAN CROP-USA
• POMME- Orchid Management
• CUPTEX- Cucumber Production Management, Egypt.
• COMAX- Cotton
• POMI-Apple production, Italy.
• CALEX- Integrated Expert Decision Support System, California .
• LEY EXPERT SYSTEM- Automated Irrigation, Washington D C
• Wheat crop-IASRI
• RICE CROP DOCTOR-
MANAGE
• GRAPE CULTIVATION-IIHR
• AGREX- Kerala
• TNAU EXPERT SYSTEM
INDIA
W O R L D
19
17
Application of GPS and GIS in Sugarcane Agriculture
Acerage and yield estimation of sugarcane crop in Andhra Pradesh Vuyyuru
and Lakshmipuram zones of KCP Sugar factory using satellite RS data
(Krishna Rao et al. 2009).
Sugarcane Research Centre has developed ‘‘Sugarcane Information and
Management System’’ (SIMS) to map the cane area and build database of
contract farmers’ fields. (Weerathaworn et al.2011)
High-resolution, hyperspectral reflectance data from SCYLV-infected and
noninfected leaves. Rapid, field-based method of identifying sugarcane plants
prior to symptom expression (Grisham et al. 2010).
SOURCE : Sugar Technology 13(4):360–365 20 18
Application of Remote Sensing & GIS in Crop Information System – a case study of Paddy
monitoring Pani et al. 2014
SOURCE: IOSR Journal of Agriculture and Veterinary Science 6(6): 45-51
2119
GIS Technology for Agricultural Management of Tank Irrigation Systems in South India
Krishnaveni et al. 2014
International Journal of Advanced Remote Sensing and GIS 3(1): 723-733 2220
Nutrient status in Soils of Chittoor district of Andhra Pradesh
Govardhan et al. 2017
SOURCE: Bulletin of Environment, Pharmacology and Life Sciences.6[1]:383-38 2321
Precision Agriculture Using Remote Sensing and GIS for Peanut Crop Production in Arid
Land Sharkawy et al. 2016
SOURCE: International Journal of Plant & Soil Science 10(3): 1-9 2422
GPS FOR AGRICULTURE IN FORM OF GEO-FENCING
Chowhan and Archana, 2018
Use of GPS or RFID technology to create a virtual geographic boundary
that makes use of geo-fence is called Geo-fencing.
3 Major events in geo-fencing process: Entrance, Exit, Dwell event
Applications
Land monitoring , Ware house management
SOURCE : Agricultue today 21(3): 48-49 2523
• An agricultural drone is an unmanned aerial vehicle
applied to farming in order to help increase crop
production and monitor crop growth. Sensors and digital
imaging capabilities can give farmers a richer picture of
their fields.
26
24
Soil & Field
analysis
Crop
Spraying
Irrigation
Crop Monitoring
27 25
NDVI = NIR - RED
NIR + RED
2826
Autonomous precision seeding
• An agbot, also called an agribot, is an
autonomous robot used in farming to help improve
efficiency and reduce reliance on manual labor.
• Autonomous robots called swarm robots that will weed,
fertilize, control pests and diseases, all the while collecting
valuable data.
Identification of weeds
2927
Can do repetitive tasks
Speed & Accuracy
Camera & sensor based
Manage individual plants in novel ways
Can work in hazardous conditions
Robot Assisted Precision Irrigation
and Diagnostics (RAPID)
LADY BIRD (ROBOTIC)
Prospero
28
Reasons for losses
Loading & unloading
Spoilage during Storage
31
Especially Organizations like
FCI , McCain, Cargil etc., .
29
Stage I
• Mechanized bin as single unit for Harvest,
handling and Storage
Stage II
• IOT for on farm QA and market price linkage
Stage III
• Block-Chain process from Farm Warehouse- Retail stores
Stage IV
• Connected AI for Demand- Supply based
across state & Country
3230
CLOUD-based Irrigation
A case study by Scientist Heriot-Watt
University (U.K)
Reduced energy and water by 80
percent
SCORRES Project in South india
SOURCE : Agricultue today 21(3): 48-49 3334
Nano Ganesh – a revolutionary ICT tool for farm irrigation
SOURCE: FAO SUCCESS STORIES,RAP 2015/02
A case study of farmer Prakash Patel, Maharastra
Nano Ganesh is a mobile phone-based remote control system by which a farmer can
remotely control and monitor his water pump with the help of a mobile phone.
By entering a preset code into his mobile, a farmer can switch on/off the pump from
any location.
water pumps are using Cloud technology for analytics of daily, weekly and monthly
reports of pump operations
35
Wireless sensors have been used in precision agriculture
to assist :
(1) Spatial data collection
(2) Variable-rate technology
(3) Supplying data to farmers.
Precision agriculture
35
37
EXTENT OF INFORMATION AND COMMUNICATION TECHNOLOGIES (ICTs)
UTILIZATION BY THE AGRICULTURAL OFFICERS IN ANDHRA PRADESH
The results indicated that nearly half (49.16%) of the Agricultural Officers had
moderate extent of ICT utilization followed by low (30.84%) and high (20.00%)
extent of ICT utilization.
The overall ICT utilization by the Agricultural Officers revealed that 34.16 per cent
awareness on all ICTs was noticed followed by 34.62 % accessibility to all ICTs, 26.69
per cent possession of knowledge, 26.45 % application proficiency and 27.09 per cent
duration cum frequency of use on all ICTs.
SOURCE: Journal of Research. ANGRAU 45(4) 86-88, 3631
Chandana et al. 2017
ROAD MAP FOR STRENGTHENING ICT UTILIZATION BY THE FACULTY
MEMBERS IN STATE AGRICULTURAL UNIVERSITIES
S.NO Reasons for gaps in ICT utilization by the faculty Percent (%) Rank
1 Lack of expertise and skills using ICT 72.40 I
2 Lack of ICT facility at individual level 71.25 II
3 Poor limited internet speed 63.23 III
4 Poor maintenance of ICT equipment 63.02 IV
5 Lack of ICT technicians and professionals 62.60 V
6 Fixed curriculum with limited boundaries 59.58 VI
7 Lack of ICT facility at departmental level 57.92 VII
8 Limited budget for purchase of equipment 55.21 VIII
9 Limited power supply 53.44 IX
10 High cost of ICT equipment 49.06 X
SOURCE: International Journal of Agriculture Sciences 10 (5) :5315-5318 3732
Sathya gopal et al. 2018
Assessment of e-Readiness of Extension Functionaries of Southern States of India in Agricultural Technology
Dissemination
S.NO ICT TOOLS NO.OF RESPONDENTS PERCENT (%)
1 Mobile telephony 500 100
2 Internet kiosk 463 92.6
3 Online web portals / sites 301 60.20
4 Kisan call centres 277 55.40
5 Television programmes 492 98.40
6 Radio programmes 441 88.20
7 Video recordings 376 75.20
8 Tele conferencing 167 33.40
9 Video conferencing 88 17.60
10 Mobile apps 18 3.60
SOURCE:Indian Res. J. Ext. Edu. 18 (2) 31-35.
3833
Bhagya Lakshmi et al. 2018
39
• Forecasting Agricultural output using Space, Agro meteorological and
Land based observations
• Multiple Pre-harvest production forecasts of 8 crops.
FASAL
• National Agricultural Drought Assessment and Monitoring System
• Drought assesement for 14 major states
NADAMS
• Coordinated Horticulture Assessment and Management using
geoiNfromatics
• Area & production of 7 crops, 12 States.
CHAMAN
KISAN [C(K)rop Insurance using Space technology And geoiNformatics]
• Use of remote sensing in crop yield
40
38
41
36
I4 TECHNOLOGY
MOU between
Mankombu, Kerala (KCPM) with banglore private drone technology
Maharastra government with IISc ,Banglore
Government of Karnataka with
Government of A.P with
The MoC intends to promote the agriculture and food industries in
Japan and India.
Agreement between India and Uzbekistan for agriculture and
research.
4239
• Blue River Technology is building the next generation of smart agriculture
equipment.
• See & Spray technology, enabling a world in which every plant counts.
• Deere said it will invest $305 million to fully acquire Blue River Technology
43
• Mahindra and Sumitomo Corporation will have 60 per cent and 40 percent in
the new company named Mahindra Summit Agriscience Limited
Information of environment
Soil fertility
Moisture content in soil
Occurance of weeds
4440
First Stage
Second stage
Predicting future action for farming and management
Appropriate use of ICTs can facilitate
• To Meet the expectations of Good-Governance in Agriculture by improving
transparency and Farmers’ participation in Agricultural Planning, implementation and
Monitoring.
• To reach up to over 90% of Farming community (from current level of below 50%),
within next 5 years, with Agricultural Information
AND HENCE
Let us COMMIT to work together for Farmers.
4541
46
48

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APPLICATION OF INFORMATION AND COMMUNICATION TOOLS (ICTs) IN MODERN AGRICULTURE

  • 1.
  • 2. MASTER SEMINAR ON Course Incharge: Dr. E. Narayana Prof. & Head (Agronomy) Speaker: K.SREENIVASA REDDY, BAM-17-08. APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICTs)TOOLS IN MODERN AGRICULTURE AGRICULTURAL COLLEGE: BAPATLA – 522 101 ACHARYA N G RANGA AGRICULTURAL UNIVERSITY
  • 3. FLOW OF SEMINAR Introduction What is ICT ? Benefits of ICT Use of ICT in Agriculture? Developments of ICT in Agriculture Review of literature & Case Studies Conclusion
  • 4. 4 World No: 2 - Agricultural Output 18% of the Worlds Population Lack of infrastructure Unexpected Weather Changes & Rains Poor Access to Credit & Labour Crop Diseases& Pests Lack of Technological tools Lack of Scientific Farming Inefficiency across the value chain 4
  • 5. Major challenges to “Agriculture Sector” in India India is facing certain “Agricultural Challenges” that must be resolved as soon as possible, such as: Irrigation Climate change Poor socio-economic conditions Inadequate use of farm equipment Small-land holdings Lack of marketing channels Inadequate use of technologies (ICTs) 5 3
  • 6. Ganapati Raju Age: 55 Village: Bommuru, Guntur Land: 2 Acre Crops: Cotton, Pulses, Maize June When will Monsoon arrive? Will it Rain on time this year? Will there be enough number of rainy days? Multiple questions – changes with time ? Which Variety ? Which Crop to sow ? “Cotton” “LAM-HYBRID 5” Crop Challenges faced by a farmer at various crop stages 6 4
  • 7. Ganapati Raju Age: 55 Village: Bommuru, Guntur Land: 2 Acre Crops: Cotton, Pulses, Maize June Multiple questions – changes with time ? July What to do for change in rain pattern ? Temperature too high? Wind too high? Soil humidity too low? Where is labor ? Where is credit ? Credit Weather Labor Crop Challenges faced by a farmer at various crop stages 7 5
  • 8. 5 Ganapati Raju Age: 55 Village: Bommuru, Guntur Land: 2 Acre Crops: Cotton, Pulses, Maize June Multiple questions – changes with time ? Aug July Credit Weather Crop Water Fertilizer to irrigate? Which fertilizer? How much fertilizer? How much Labor Challenges faced by a farmer at various crop stages 8 6
  • 9. Ganapati Raju Age: 55 Village: Bommuru, Guntur Land: 2 Acre Crops: Cotton, Pulses, Maize June Multiple questions – changes with time ? Sep Which pest? Which Pesticide? How much? Organic or inorganic? Aug Credit Weather Crop Water Fertilizer Pest Labor July Challenges faced by a farmer at various crop stages 9 7
  • 10. 7 Ganapati Raju Age: 55 Village: Bommuru, Guntur Land: 2 Acre Crops: Cotton, Pulses, Maize June Multiple questions – changes with time ? July Oct Where to sell ? How much to sell for? How to store what is remaining? Sep Aug Credit Weathe r Crop Water Fertilizer Pest Labor Logistics Challenges faced by a farmer at various crop stages 10 8
  • 11. Will it Rain on time this year? Will there be enough number of rainy days? Which Variety? Which Crop to sow ? What to do for change in rain pattern? T emperature too high? Wind too high? Soil humidity too low? Where is labor ? Where is credit ? Which Fertilizer ? How much to irrigate How much Fertilizer ? Which pest ? Which Pesticide ? How much ? Organic or Inorganic ? Where to sell ? How much to sell for? How to store what is reaming ? There are so many Questions to beAnswered I need a “Google” of Agriculture! How to solve these challenges ? 11 9
  • 12. 4 Does ICT Strengthen Opportunities in Agriculture ? ] [ [ ] ICT reduces opportunities in Agriculture ? 12 10
  • 13. ICT (Information & Communication Technology) is an umbrella term that includes any communication device or application, encompassing: radio, television, cellular phones, computer and network hardware and software, satellite systems and etc, as well as the various services and applications associated with them, such asvideoconferencing and distance learning. The phrase ICT was coined by Stevenson in 1997 13 11
  • 14. Timely information on weather forecasts and calamities. Marketing exposure and pricing. Improved networking and communication. Better representation at various forums, authorities and platform, etc,. 14 12
  • 15. 1975 – 80 : Programming / Drill & Practice –Programme 1985 – 90 :Computer Based Training (CBT) with Multimedia CDROMs / Interactiveness 1990 – 95 : Internet based Training–Learners Convenience/ online Support 1995– 00 : e-Learning LMS / Online courses / Delivery 2005 – 10 : Web 2 / Open Source Software–Blogs, Wikis, Facebook / Depositories / Virtual Libraries 2010 – 18 : Cloud Computing / Apps / IoT / Big Data Analytics–Instant Messengers / Networking / Data Mining & Decision Making ICT Developments 15 13
  • 16. ICT platforms • ITC e-Chaupal • Farmers’ Portal • Kissan call center Mobile apps for agriculture • Kisan Suvidha • PUSA Krishi • Agrimarket • IFFCO Kisan app • Kheti-Badi • Mandi trades 16 14
  • 17. Global Positioning System satellites broadcast signals that allow GPS receivers to calculate their position. This information is provided in real time, meaning that continuous position information is provided while in motion. A geographic information system is an organized collection of computer hardware, software, geographic data, and personnel to efficiently capture, store, update, manipulate, analyze, and display all forms of geographically referenced information.” What is GPS, GIS, Remote Sensing, A.I & IoT 17 15
  • 18. Remote sensing is the science and art of acquiring information about the earth’s surface without actually coming in contact with it. AI (artificial intelligence) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning. The internet of things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs). 18 16
  • 19. Expert System Components 1. Doctor - Artificial Intelligence 2. Decision Support System 3. Static Information • Rice Knowledge Bank-IRRI • SOYABEAN CROP-USA • POMME- Orchid Management • CUPTEX- Cucumber Production Management, Egypt. • COMAX- Cotton • POMI-Apple production, Italy. • CALEX- Integrated Expert Decision Support System, California . • LEY EXPERT SYSTEM- Automated Irrigation, Washington D C • Wheat crop-IASRI • RICE CROP DOCTOR- MANAGE • GRAPE CULTIVATION-IIHR • AGREX- Kerala • TNAU EXPERT SYSTEM INDIA W O R L D 19 17
  • 20. Application of GPS and GIS in Sugarcane Agriculture Acerage and yield estimation of sugarcane crop in Andhra Pradesh Vuyyuru and Lakshmipuram zones of KCP Sugar factory using satellite RS data (Krishna Rao et al. 2009). Sugarcane Research Centre has developed ‘‘Sugarcane Information and Management System’’ (SIMS) to map the cane area and build database of contract farmers’ fields. (Weerathaworn et al.2011) High-resolution, hyperspectral reflectance data from SCYLV-infected and noninfected leaves. Rapid, field-based method of identifying sugarcane plants prior to symptom expression (Grisham et al. 2010). SOURCE : Sugar Technology 13(4):360–365 20 18
  • 21. Application of Remote Sensing & GIS in Crop Information System – a case study of Paddy monitoring Pani et al. 2014 SOURCE: IOSR Journal of Agriculture and Veterinary Science 6(6): 45-51 2119
  • 22. GIS Technology for Agricultural Management of Tank Irrigation Systems in South India Krishnaveni et al. 2014 International Journal of Advanced Remote Sensing and GIS 3(1): 723-733 2220
  • 23. Nutrient status in Soils of Chittoor district of Andhra Pradesh Govardhan et al. 2017 SOURCE: Bulletin of Environment, Pharmacology and Life Sciences.6[1]:383-38 2321
  • 24. Precision Agriculture Using Remote Sensing and GIS for Peanut Crop Production in Arid Land Sharkawy et al. 2016 SOURCE: International Journal of Plant & Soil Science 10(3): 1-9 2422
  • 25. GPS FOR AGRICULTURE IN FORM OF GEO-FENCING Chowhan and Archana, 2018 Use of GPS or RFID technology to create a virtual geographic boundary that makes use of geo-fence is called Geo-fencing. 3 Major events in geo-fencing process: Entrance, Exit, Dwell event Applications Land monitoring , Ware house management SOURCE : Agricultue today 21(3): 48-49 2523
  • 26. • An agricultural drone is an unmanned aerial vehicle applied to farming in order to help increase crop production and monitor crop growth. Sensors and digital imaging capabilities can give farmers a richer picture of their fields. 26 24
  • 28. NDVI = NIR - RED NIR + RED 2826
  • 29. Autonomous precision seeding • An agbot, also called an agribot, is an autonomous robot used in farming to help improve efficiency and reduce reliance on manual labor. • Autonomous robots called swarm robots that will weed, fertilize, control pests and diseases, all the while collecting valuable data. Identification of weeds 2927
  • 30. Can do repetitive tasks Speed & Accuracy Camera & sensor based Manage individual plants in novel ways Can work in hazardous conditions Robot Assisted Precision Irrigation and Diagnostics (RAPID) LADY BIRD (ROBOTIC) Prospero 28
  • 31. Reasons for losses Loading & unloading Spoilage during Storage 31 Especially Organizations like FCI , McCain, Cargil etc., . 29
  • 32. Stage I • Mechanized bin as single unit for Harvest, handling and Storage Stage II • IOT for on farm QA and market price linkage Stage III • Block-Chain process from Farm Warehouse- Retail stores Stage IV • Connected AI for Demand- Supply based across state & Country 3230
  • 33. CLOUD-based Irrigation A case study by Scientist Heriot-Watt University (U.K) Reduced energy and water by 80 percent SCORRES Project in South india SOURCE : Agricultue today 21(3): 48-49 3334
  • 34. Nano Ganesh – a revolutionary ICT tool for farm irrigation SOURCE: FAO SUCCESS STORIES,RAP 2015/02 A case study of farmer Prakash Patel, Maharastra Nano Ganesh is a mobile phone-based remote control system by which a farmer can remotely control and monitor his water pump with the help of a mobile phone. By entering a preset code into his mobile, a farmer can switch on/off the pump from any location. water pumps are using Cloud technology for analytics of daily, weekly and monthly reports of pump operations 35
  • 35. Wireless sensors have been used in precision agriculture to assist : (1) Spatial data collection (2) Variable-rate technology (3) Supplying data to farmers. Precision agriculture 35 37
  • 36. EXTENT OF INFORMATION AND COMMUNICATION TECHNOLOGIES (ICTs) UTILIZATION BY THE AGRICULTURAL OFFICERS IN ANDHRA PRADESH The results indicated that nearly half (49.16%) of the Agricultural Officers had moderate extent of ICT utilization followed by low (30.84%) and high (20.00%) extent of ICT utilization. The overall ICT utilization by the Agricultural Officers revealed that 34.16 per cent awareness on all ICTs was noticed followed by 34.62 % accessibility to all ICTs, 26.69 per cent possession of knowledge, 26.45 % application proficiency and 27.09 per cent duration cum frequency of use on all ICTs. SOURCE: Journal of Research. ANGRAU 45(4) 86-88, 3631 Chandana et al. 2017
  • 37. ROAD MAP FOR STRENGTHENING ICT UTILIZATION BY THE FACULTY MEMBERS IN STATE AGRICULTURAL UNIVERSITIES S.NO Reasons for gaps in ICT utilization by the faculty Percent (%) Rank 1 Lack of expertise and skills using ICT 72.40 I 2 Lack of ICT facility at individual level 71.25 II 3 Poor limited internet speed 63.23 III 4 Poor maintenance of ICT equipment 63.02 IV 5 Lack of ICT technicians and professionals 62.60 V 6 Fixed curriculum with limited boundaries 59.58 VI 7 Lack of ICT facility at departmental level 57.92 VII 8 Limited budget for purchase of equipment 55.21 VIII 9 Limited power supply 53.44 IX 10 High cost of ICT equipment 49.06 X SOURCE: International Journal of Agriculture Sciences 10 (5) :5315-5318 3732 Sathya gopal et al. 2018
  • 38. Assessment of e-Readiness of Extension Functionaries of Southern States of India in Agricultural Technology Dissemination S.NO ICT TOOLS NO.OF RESPONDENTS PERCENT (%) 1 Mobile telephony 500 100 2 Internet kiosk 463 92.6 3 Online web portals / sites 301 60.20 4 Kisan call centres 277 55.40 5 Television programmes 492 98.40 6 Radio programmes 441 88.20 7 Video recordings 376 75.20 8 Tele conferencing 167 33.40 9 Video conferencing 88 17.60 10 Mobile apps 18 3.60 SOURCE:Indian Res. J. Ext. Edu. 18 (2) 31-35. 3833 Bhagya Lakshmi et al. 2018
  • 39. 39
  • 40. • Forecasting Agricultural output using Space, Agro meteorological and Land based observations • Multiple Pre-harvest production forecasts of 8 crops. FASAL • National Agricultural Drought Assessment and Monitoring System • Drought assesement for 14 major states NADAMS • Coordinated Horticulture Assessment and Management using geoiNfromatics • Area & production of 7 crops, 12 States. CHAMAN KISAN [C(K)rop Insurance using Space technology And geoiNformatics] • Use of remote sensing in crop yield 40 38
  • 41. 41 36
  • 42. I4 TECHNOLOGY MOU between Mankombu, Kerala (KCPM) with banglore private drone technology Maharastra government with IISc ,Banglore Government of Karnataka with Government of A.P with The MoC intends to promote the agriculture and food industries in Japan and India. Agreement between India and Uzbekistan for agriculture and research. 4239
  • 43. • Blue River Technology is building the next generation of smart agriculture equipment. • See & Spray technology, enabling a world in which every plant counts. • Deere said it will invest $305 million to fully acquire Blue River Technology 43 • Mahindra and Sumitomo Corporation will have 60 per cent and 40 percent in the new company named Mahindra Summit Agriscience Limited
  • 44. Information of environment Soil fertility Moisture content in soil Occurance of weeds 4440 First Stage Second stage Predicting future action for farming and management
  • 45. Appropriate use of ICTs can facilitate • To Meet the expectations of Good-Governance in Agriculture by improving transparency and Farmers’ participation in Agricultural Planning, implementation and Monitoring. • To reach up to over 90% of Farming community (from current level of below 50%), within next 5 years, with Agricultural Information AND HENCE Let us COMMIT to work together for Farmers. 4541
  • 46. 46
  • 47.
  • 48. 48