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ā€˜Precision farming and its impact in vegetable production.ā€™
Master Credit seminar on
Dr Rajendra Prasad Central Agricultural University
Pusa,Samastipur-484125,Bihar
Department of Horticulture
SEMINAR INCHARGE
Dr. Udit Kumar
Dr. A. K. Singh
Dr. Pramila
Asstt . Professor-cum-Scientist
Department of Horticulture
SPEAKER
Dhongade Somesh V.
M.Sc (Ag.) Vegetable Science
M/HORT/437/2019-20
Department of Horticulture
DRPCAU , PUSA
Precision Farming- Meaning & Concept
Basic steps in Precision Farming
Comparison between PF & Traditional Farming
Current Scenario
Need for Precision Farming
Objectives of Precision Farming
Content
Element of Precision Farming
Steps involved in PF adaption
Challenges faced by PF
Steps to be taken for implementing Precision Farming in India
Advantages & some drawbacks
Case studies & Conclusion
Content
ā®š Precision agriculture (PA) also called Satellite farming
(SF) OR Site specific crop management (SSCM) is a farming
management concept based on observing, measuring and
responding to inter and intra-field variability in crops
ā®š Precision agriculture is an art and science of utilizing
innovative, site- specific techniques for management of
spatial and temporal variability using affordable
technologiesā€¦ for enhancing output, efficiency, and
profitability of agricultural production in an environmentally
responsible manner.
What is Precision Agriculture ?
Concept is Simpleā€¦.
What ?
How much? When?
How to do? Where?
Precision
Farming
Precision Farming- Concept
In right quantity
Right Thing
in the right place
in the right way
at the right time
Basic
steps in
precision
Farming
Evaluation
Assessing Variability
Managing Variability
ā€¢ Land leveling
ā€¢ VRT
ā€¢ Site specific planting
ā€¢ Site Specific Nutrient Management
ā€¢ Precision water management
ā€¢ Site specific weed management
Remote Sensing,GPS,GIS,Yield Monitoring
ā€¢ Economic
ā€¢ Maintenance of environment
ā€¢ Finally how far this technology
can be transferred to other
farmers
TRADITIONAL FARMING PRECISION FARMING
Whole field approach where field is
treated as a homogeneous area
Farm field is broken into
ā€œmanagement zonesā€
Decisions are based on field averages Management decisions are based on
requirements of each zone
Inputs are applied uniformly across a
field
PF tools (e.g. GPS/GIS) are used to
control zone
Traditional Farming vs PF
ā®šPF adopted - USA, Europe, Canada and Australia.
ā®š Agriculturally progressive states such as Punjab, Haryana, Gujarat &
Rajasthan, 20% of agricultural lands have operational holding of 4 ha
or more. (Talwar et al., 2005).
In India :
ā®šSpace Application Center (ISRO), Ahmedabad has started experiment
in the Central Potato Research Station farm at Jalhandhar, Punjab -
the role of remote sensing in mapping the variability with respect to
space and time.
Current Status of Precision Agriculture
ā®šM S Swaminathan Research Foundation, Chennai + NABARD, has
adopted a village in Dindigul for VRT application.
ā®šIARI, New Delhi has drawn up a plan to do precision farming
experiments in the institutesā€™ farm.
ā®šProject Directorate for Cropping Systems Research (PDCSR),
Modipuram and Meerut (UP) + Central Institute of Agricultural
Engineering (CIAE), Bhopal ā€“ VRT In coming few years precision
farming may help the Indian farmers to harvest the fruits of frontier
technologies without compromising the quality of land.
Continueā€¦..
1. PFDC Jorhat
2. PFDC Samastipur
3. PFDC HAU Hissar
4. PFDC Bikaner RJ
5. PFDC Raipur
6. PFDC Hyderabad
7. PFDC IARI
8. PFDC KAU Kerala
9. PFDC Bhubaneshwar
10. PFDC Bangalore
11. PFDC Rahuri MH
12. PFDC Navsari Gujarat
13. PFDC Lucknow
14. PFDC Pantnagar
15. PFDC Coimbatore TN
16. PFDC IIT Kharagpur
WB
Precision farming development centres (PFDC) in India
Need for
precision
farming
Total Productivity decline
Diminishing and degrading
natural resources
Land degradation
Stagnating farm incomes
Declining and fragmented
land holdings
Depletion of Water resources
Global climatic variation
poverty alleviation
Enhance quality of life
Food security
Increased profitability &
sustainability
To increase production
efficiency
To reduce ecological
degradation
To improve product quality
Energy conservation
More efficient input use
Optimising production
efficiency
Surface and ground water
protection
Most efficient chemical and
seed use
Effective and efficient pest
Minimising environmental
impact
To improve status of farmer in
society
Objectives
of
Precision
Farming
Elements
of
Precision
Farming
C) Decision support
(management)
B) Technology
A) Information
ā®š Crop characteristics like stage of crop, crop health,
nutrient requirement etc.
ā®š Detailed soil layer with physical and chemical
properties, depth, texture, nutrient status, salinity and
toxicity, soil temperature, productivity potential etc.
ā®š Microclimate data (season and daily) about the canopy
temperature, wind direction and speed, humidity etc.
ā®š Surface and sub-surface drainage conditions.
ā®š Irrigation facilities, water availability and other
planning inputs of interest.
A) Information
B) Technology :
Tools and
equipment
8)Computer
Hardware &
Software:
4) Variable
Rate
Technology
(VRT):
3) Grid
Sampling:
2) Geographic
Information
System (GIS):
1) Global
Positioning
System
(GPS):
5) Yield
Maps:
6) Remote
Sensors:
7) Proximate
Sensors:
9) Precision
irrigation
systems:
10) Auto-
guidance
systems
ā®šAll phases of
precision
agriculture require
positioning
information and it
can be provided by
the GPS.
1. Global Positioning System (GPS)
An instrument that receives satellite signals to calculate your
position (latitude, longitude and elevation).
www.remotesensing application in agriculture.com
ā®š GPS provides the accurate positional information,
which is useful in locating the spatial variability with
accuracy
ā®š This is the satellite-based information received by a
mobile field instrument sensitive to the transmitting
frequency.
ā®šGPS help in identifying any location in the field to
assess the spatial variability and site specific
application of inputs.
ā®š GIS is the tool (Computer software) used to stores, analyzes and
displays spatial data and its corresponding attributes.
2. Geographic Information Systems (GIS)
ā€¢ Attributes include: soil type, pH,
salinity levels, nutrient levels, and crop
history
ā€¢ GIS is the key to extracting value from
information on variability.
ā€¢ GIS can store, calculate, and model
current and historical data.
ā€¢ Maps are the main visual output but can
include reports, tables and charts.
(GIS-the brain of precision farming)
Lina D Shinde.(2020)
ā®š In Grid Sampling, the entire field is divided into equal squares (0.5-
5 ha)
ā®š Sampling soil within the grids is useful to determine the
appropriate rate of application of fertilizers.
ā®š Several samples are taken from each grid, mixed and sent to
the laboratory for analysis.
ā®š Collected composite sample represented each area
appropriately.
ā®š Fertility Map produce, provide accurate information about
soil reaction, nutrient status.
ā®š Provides a good assessment of variability.
Grid Sampling
A) Point Sampling B) Cell Sampling
Two methods for Grid Sampling
ā®š Variable rate application (VRA) in precision agriculture is an area of
technology that focuses on the automated application of materials to a
given landscape.
ā®š The way in which the materials are applied is based on data that is
collected by sensors, maps, and GPS.
ā®š These materials include things like fertilizers, chemicals, and seeds, and
they all help optimize oneā€™s crop production.
ā®š During the creation of nutrient requirement map for VRT, profit
maximizing fertilizer rate should be considered more rather than yield
maximizing fertilizer rate.
Variable Rate Technology (VRT):
Multiple sources present various economic benefits of VRA
highlighted below
1. Savings on fertilizers and chemicals.
2. Based on a study at the University of Illinois, the farmers
can save about 5 USD per acre due to a VRA technology
for nitrogen fertilization.
Potential yield increase
Environmental protection from excess fertilisation or
spraying of chemicals.
ā®š Varying the
application rates of
seed, fertilizer or
pesticides to adjust
for in-field
differences
ā®š Historically,
intensive soil
sampling had
been necessary to
measure and
adjust for this
variation.
ā®š Yield maps are produced by
processing data from adapted
combine harvester that is
equipped with a GPS, i.e.
integrated with a yield
recording system.
ā®š Yield mapping involves the
recording of the grain flow
through the combine harvester,
while recording the actual
location in the field at the same
time.
Yield Maps
Www.Researchgate.Com
ā®š Remote sensing has been used in soil mapping, terrain
analysis, crop stress, yield mapping and estimation of soil
organic matter, but on a scale larger than what is required for
precision agriculture.
ā®š Remote sensing at high resolution can be of great use in
precision farming because of its capacity to monitor the spatial
variability.
ā®š The role of satellite remote sensing in PF is to acquire
spatially- and temporally-distributed information to identify
and analyze crop and soil variability within fields.
Remote Sensing
1. Energy Source or Illumination (A)
2. Radiation and the Atmosphere (B)
3. Interaction with the Object (C)
4. Recording of Energy by the Sensor (D)
5.Transmission, Reception and
Processing (E)
6. Interpretation and Analysis (F)
7. Application (G)
Elements of remote sensing
Lina D Shinde.(2020)
The specific application of remote sensing techniques
can be used for -
10. Effects of fertilizes
11. Soil toxicity
12. Soil moisture
13. Water quality
14. Irrigation requirement
15. Insect infestations
16. Disease infestations
17. Water availability
18. Location of canals
i) Detection ii) Identification iii) Measurement iv) Monitoring of agricultural
phenomena.
1. Crop identification
2. Crop acreage
3. Crop vigor
4. Crop density
5. Crop maturity
6. Growth rates
7. Yield forecasting
8. Actual yield
9. Soil fertility Applicable to crop
survey
ā®šThese sensors can be used to measure soil parameters
such as N status and soil pH and crop properties as the
sensor attached tractor passes over the field.
ā®šThe soil sample is scooped, pressed against an
electrode, stabilization period of about 10-15 seconds
allowed, and the reading taken.
Proximate Sensors
ā®šIn order to analyze the data collected by other
Precision Agriculture technology components and to
make it available in usable formats such as maps,
graphs, charts or reports, computer support is
essential along with specific software support.
Computer Hardware and Software
ā®šRecent developments are being released for commercial
use in sprinkler irrigation by controlling the irrigation
machines motion with GPS based controllers.
ā®šWireless communication and sensor technologies are
being developed to monitor soil and ambient conditions,
along with operation parameters of the irrigation machines
(i.e. flow and pressure) to achieve higher water use
efficiency
Precision irrigation systems:
ā®š Auto-guidance system allows farmers to
maintain straight rows during farm operations and
to come back to the same rows the next season.
ā®š They allow more precise input application with
these systems.
Auto-guidance systems
ā®š One of the latest developments is the
increase in the use of drones, for
agriculture.
ā®š Drones are remote controlled aircraft.
ā®š These have a huge potential in agriculture
in supporting evidence-based planning and
in spatial data collection.
ā®š Drones can help in ā€¦
a. the analysis of soils and drainage
b. crop health assessment and
c. In variable rate application of liquid
pesticides, fertilisers and herbicides
on small case
Drone Technology: (UAVs)
ā®š What is Robot
ā®š Agricultural robots automate slow, repetitive and
dull tasks for farmers, allowing them to focus
more on improving overall production yields.
ā®š Some of the most common robots in agriculture
are used for:
1. Harvesting and picking
2. Weed control
3. Autonomous moving, pruning, seeding, spraying
and thinning
4. Sorting and packing
5. Utility platforms
Farm Automation/ Robots :
Following steps for a DSS:
Decision support system (management)
ā®šIdentify environmental and biological states and processes in the field that
can be monitored and manipulated for the betterment of crop production.
ā®šChoose sensors and supporting equipment to record data on these states and
processes.
ā®šCollect, store and communicate the field recorded data.
ā®šProcess and manipulate the data into useful information and knowledge.
ā®šPresent the information and knowledge in a form that can be interpreted to
make decisions.
ā®šChoose an action associated with a decision to change the identified state or
process in a way that makes it more favourable to profitable crop production.
Russo and Dantinne (1997)
1. Purchase a mapping programme
2. Collect spatial data
3. Map field boundaries
4. Keep records
5. Obtain remote images
6. Purchase a yield monitor
7. Purchase a DGPS receiver
8. Generate yield maps
9. Use yield maps for scouting
10. Generate profit maps
11. Use yield and profit maps for land
12. Take site-specific soil fertility
samples
13. Manage subfields
Steps involved in precision agriculture adoption
ā®šLack of technical knowledge and technological
expertise.
ā®šSmall plots or clusters of land.
ā®šHigher costs in fetching PF systems.
ā®šPoor penetration to Internet availability.
ā®šIlliteracy rate high in the country.
ā®šReduced availability of labour.
ā®šBetter management of large scale crops.
Challenges
ā®š Creation of multidisciplinary units involving scientists
from various fields, Engineers, Economists to layout
design for Precision farming.
ā®š Formation of farmerā€™s co-operatives
ā®š Governmental legislation to use agricultural inputs
judiciously.
ā®š Pilot study to be conducted on farmerā€™s field to show the
results of Precision Farming.
ā®š Creating awareness amongst farmers.
Steps to be taken for implementing Precision Farming in India
Advantages of precision farming
Lina D Shinde.(2020)
Drawbacks of precision farming
ā®š High cost.
ā®š Lack of technical expertise knowledge and technology.
ā®š Not applicable or difficult/costly for small land holdings.
ā®š Heterogeneity of cropping systems and market
imperfections.
Case Study
Case Study
Case study : 1
The study was conducted in the Dharmapuri district and data on precision and non-precision farmings were
collected through the interview schedule during the year 2007.
The respondents were selected randomly from the five identified blocks in such a way that there were 35
adopters and 35 nonadopters of precision farming in each of tomato and brinjal crops, making the total
sample to be of 140 respondents.
Case study : 2
ā€¢ conducted a 3-year project to investigate the agronomic efficiency of VR application
of P and K fertilizers in potato production on a 2-ha field.
ā€¢ As a first step, spatial variability on the site was investigated. An intensive soil
survey of the field revealed high pedodiversity.
ā€¢ The experimental field was stratified into eight soil map units, representing four soil
series and also differentiated based on soil textural class of the A horizon and slope
(Fig. 2a).
ā€¢ An intensive grid sampling (15 mƗ15 m; n= 106) of the 0ā€“20-cm soil layer was
performed to study the spatial variability of P and K. Soil P ranged from 8 to 274 kg
P haāˆ’1 with a mean value of 90 kg haāˆ’1 , and soil K ranged from 29 to 338 kg K
haāˆ’1 with a mean value of 111 kg haāˆ’1
ā€¢ Based on the kriged maps (Fig. 2b, c), an experimental strip plot design with three
treatments and four blocks was implemented (Fig. 2d).
ā€¢ The control treatment had no added fertilizer, the uniform rate application (URA)
treatment consisted of uniform application of P and K, and the VR application
(VRA) treatment consisted of variable rate of application of P and K based on the
kriged maps of P and K and local fertilization recommendations
In one year out of three, VRA of P and K significantly increased the total and marketable tuber yield compared with the
uniform application of P and K
Conclusionā€¦.
ā®š Precision Farming in many developing countries including
India has numerous opportunities for farmers to identify better
high yielding location specific crops.
ā®š Precision Farming can immensely help in reducing cost of
production and increase profits and marginal return.
ā®š Using the key elements of information, technology and
management; precision faring can be used to increase
production efficiency, improve product quality and protect
environment.
ā®š The PF would trigger a techno-green revolution in the world or
in India.
Thank You
M.S. Swaminathan :
ā€œPrecision farming is
a way to achieve an
evergreen revolutionā€.

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Precision farming/Agriculture.pptx

  • 1.
  • 2. ā€˜Precision farming and its impact in vegetable production.ā€™ Master Credit seminar on Dr Rajendra Prasad Central Agricultural University Pusa,Samastipur-484125,Bihar Department of Horticulture SEMINAR INCHARGE Dr. Udit Kumar Dr. A. K. Singh Dr. Pramila Asstt . Professor-cum-Scientist Department of Horticulture SPEAKER Dhongade Somesh V. M.Sc (Ag.) Vegetable Science M/HORT/437/2019-20 Department of Horticulture DRPCAU , PUSA
  • 3. Precision Farming- Meaning & Concept Basic steps in Precision Farming Comparison between PF & Traditional Farming Current Scenario Need for Precision Farming Objectives of Precision Farming Content
  • 4. Element of Precision Farming Steps involved in PF adaption Challenges faced by PF Steps to be taken for implementing Precision Farming in India Advantages & some drawbacks Case studies & Conclusion Content
  • 5. ā®š Precision agriculture (PA) also called Satellite farming (SF) OR Site specific crop management (SSCM) is a farming management concept based on observing, measuring and responding to inter and intra-field variability in crops ā®š Precision agriculture is an art and science of utilizing innovative, site- specific techniques for management of spatial and temporal variability using affordable technologiesā€¦ for enhancing output, efficiency, and profitability of agricultural production in an environmentally responsible manner. What is Precision Agriculture ?
  • 6. Concept is Simpleā€¦. What ? How much? When? How to do? Where? Precision Farming Precision Farming- Concept In right quantity Right Thing in the right place in the right way at the right time
  • 7. Basic steps in precision Farming Evaluation Assessing Variability Managing Variability ā€¢ Land leveling ā€¢ VRT ā€¢ Site specific planting ā€¢ Site Specific Nutrient Management ā€¢ Precision water management ā€¢ Site specific weed management Remote Sensing,GPS,GIS,Yield Monitoring ā€¢ Economic ā€¢ Maintenance of environment ā€¢ Finally how far this technology can be transferred to other farmers
  • 8. TRADITIONAL FARMING PRECISION FARMING Whole field approach where field is treated as a homogeneous area Farm field is broken into ā€œmanagement zonesā€ Decisions are based on field averages Management decisions are based on requirements of each zone Inputs are applied uniformly across a field PF tools (e.g. GPS/GIS) are used to control zone Traditional Farming vs PF
  • 9. ā®šPF adopted - USA, Europe, Canada and Australia. ā®š Agriculturally progressive states such as Punjab, Haryana, Gujarat & Rajasthan, 20% of agricultural lands have operational holding of 4 ha or more. (Talwar et al., 2005). In India : ā®šSpace Application Center (ISRO), Ahmedabad has started experiment in the Central Potato Research Station farm at Jalhandhar, Punjab - the role of remote sensing in mapping the variability with respect to space and time. Current Status of Precision Agriculture
  • 10. ā®šM S Swaminathan Research Foundation, Chennai + NABARD, has adopted a village in Dindigul for VRT application. ā®šIARI, New Delhi has drawn up a plan to do precision farming experiments in the institutesā€™ farm. ā®šProject Directorate for Cropping Systems Research (PDCSR), Modipuram and Meerut (UP) + Central Institute of Agricultural Engineering (CIAE), Bhopal ā€“ VRT In coming few years precision farming may help the Indian farmers to harvest the fruits of frontier technologies without compromising the quality of land. Continueā€¦..
  • 11. 1. PFDC Jorhat 2. PFDC Samastipur 3. PFDC HAU Hissar 4. PFDC Bikaner RJ 5. PFDC Raipur 6. PFDC Hyderabad 7. PFDC IARI 8. PFDC KAU Kerala 9. PFDC Bhubaneshwar 10. PFDC Bangalore 11. PFDC Rahuri MH 12. PFDC Navsari Gujarat 13. PFDC Lucknow 14. PFDC Pantnagar 15. PFDC Coimbatore TN 16. PFDC IIT Kharagpur WB Precision farming development centres (PFDC) in India
  • 12. Need for precision farming Total Productivity decline Diminishing and degrading natural resources Land degradation Stagnating farm incomes Declining and fragmented land holdings Depletion of Water resources Global climatic variation poverty alleviation Enhance quality of life Food security
  • 13. Increased profitability & sustainability To increase production efficiency To reduce ecological degradation To improve product quality Energy conservation More efficient input use Optimising production efficiency Surface and ground water protection Most efficient chemical and seed use Effective and efficient pest Minimising environmental impact To improve status of farmer in society Objectives of Precision Farming
  • 15. ā®š Crop characteristics like stage of crop, crop health, nutrient requirement etc. ā®š Detailed soil layer with physical and chemical properties, depth, texture, nutrient status, salinity and toxicity, soil temperature, productivity potential etc. ā®š Microclimate data (season and daily) about the canopy temperature, wind direction and speed, humidity etc. ā®š Surface and sub-surface drainage conditions. ā®š Irrigation facilities, water availability and other planning inputs of interest. A) Information
  • 16. B) Technology : Tools and equipment 8)Computer Hardware & Software: 4) Variable Rate Technology (VRT): 3) Grid Sampling: 2) Geographic Information System (GIS): 1) Global Positioning System (GPS): 5) Yield Maps: 6) Remote Sensors: 7) Proximate Sensors: 9) Precision irrigation systems: 10) Auto- guidance systems
  • 17. ā®šAll phases of precision agriculture require positioning information and it can be provided by the GPS. 1. Global Positioning System (GPS) An instrument that receives satellite signals to calculate your position (latitude, longitude and elevation). www.remotesensing application in agriculture.com
  • 18. ā®š GPS provides the accurate positional information, which is useful in locating the spatial variability with accuracy ā®š This is the satellite-based information received by a mobile field instrument sensitive to the transmitting frequency. ā®šGPS help in identifying any location in the field to assess the spatial variability and site specific application of inputs.
  • 19. ā®š GIS is the tool (Computer software) used to stores, analyzes and displays spatial data and its corresponding attributes. 2. Geographic Information Systems (GIS) ā€¢ Attributes include: soil type, pH, salinity levels, nutrient levels, and crop history ā€¢ GIS is the key to extracting value from information on variability. ā€¢ GIS can store, calculate, and model current and historical data. ā€¢ Maps are the main visual output but can include reports, tables and charts.
  • 20. (GIS-the brain of precision farming) Lina D Shinde.(2020)
  • 21. ā®š In Grid Sampling, the entire field is divided into equal squares (0.5- 5 ha) ā®š Sampling soil within the grids is useful to determine the appropriate rate of application of fertilizers. ā®š Several samples are taken from each grid, mixed and sent to the laboratory for analysis. ā®š Collected composite sample represented each area appropriately. ā®š Fertility Map produce, provide accurate information about soil reaction, nutrient status. ā®š Provides a good assessment of variability. Grid Sampling
  • 22. A) Point Sampling B) Cell Sampling Two methods for Grid Sampling
  • 23. ā®š Variable rate application (VRA) in precision agriculture is an area of technology that focuses on the automated application of materials to a given landscape. ā®š The way in which the materials are applied is based on data that is collected by sensors, maps, and GPS. ā®š These materials include things like fertilizers, chemicals, and seeds, and they all help optimize oneā€™s crop production. ā®š During the creation of nutrient requirement map for VRT, profit maximizing fertilizer rate should be considered more rather than yield maximizing fertilizer rate. Variable Rate Technology (VRT):
  • 24. Multiple sources present various economic benefits of VRA highlighted below 1. Savings on fertilizers and chemicals. 2. Based on a study at the University of Illinois, the farmers can save about 5 USD per acre due to a VRA technology for nitrogen fertilization. Potential yield increase Environmental protection from excess fertilisation or spraying of chemicals.
  • 25. ā®š Varying the application rates of seed, fertilizer or pesticides to adjust for in-field differences ā®š Historically, intensive soil sampling had been necessary to measure and adjust for this variation.
  • 26. ā®š Yield maps are produced by processing data from adapted combine harvester that is equipped with a GPS, i.e. integrated with a yield recording system. ā®š Yield mapping involves the recording of the grain flow through the combine harvester, while recording the actual location in the field at the same time. Yield Maps Www.Researchgate.Com
  • 27. ā®š Remote sensing has been used in soil mapping, terrain analysis, crop stress, yield mapping and estimation of soil organic matter, but on a scale larger than what is required for precision agriculture. ā®š Remote sensing at high resolution can be of great use in precision farming because of its capacity to monitor the spatial variability. ā®š The role of satellite remote sensing in PF is to acquire spatially- and temporally-distributed information to identify and analyze crop and soil variability within fields. Remote Sensing
  • 28. 1. Energy Source or Illumination (A) 2. Radiation and the Atmosphere (B) 3. Interaction with the Object (C) 4. Recording of Energy by the Sensor (D) 5.Transmission, Reception and Processing (E) 6. Interpretation and Analysis (F) 7. Application (G) Elements of remote sensing Lina D Shinde.(2020)
  • 29. The specific application of remote sensing techniques can be used for - 10. Effects of fertilizes 11. Soil toxicity 12. Soil moisture 13. Water quality 14. Irrigation requirement 15. Insect infestations 16. Disease infestations 17. Water availability 18. Location of canals i) Detection ii) Identification iii) Measurement iv) Monitoring of agricultural phenomena. 1. Crop identification 2. Crop acreage 3. Crop vigor 4. Crop density 5. Crop maturity 6. Growth rates 7. Yield forecasting 8. Actual yield 9. Soil fertility Applicable to crop survey
  • 30. ā®šThese sensors can be used to measure soil parameters such as N status and soil pH and crop properties as the sensor attached tractor passes over the field. ā®šThe soil sample is scooped, pressed against an electrode, stabilization period of about 10-15 seconds allowed, and the reading taken. Proximate Sensors
  • 31. ā®šIn order to analyze the data collected by other Precision Agriculture technology components and to make it available in usable formats such as maps, graphs, charts or reports, computer support is essential along with specific software support. Computer Hardware and Software
  • 32. ā®šRecent developments are being released for commercial use in sprinkler irrigation by controlling the irrigation machines motion with GPS based controllers. ā®šWireless communication and sensor technologies are being developed to monitor soil and ambient conditions, along with operation parameters of the irrigation machines (i.e. flow and pressure) to achieve higher water use efficiency Precision irrigation systems:
  • 33. ā®š Auto-guidance system allows farmers to maintain straight rows during farm operations and to come back to the same rows the next season. ā®š They allow more precise input application with these systems. Auto-guidance systems
  • 34. ā®š One of the latest developments is the increase in the use of drones, for agriculture. ā®š Drones are remote controlled aircraft. ā®š These have a huge potential in agriculture in supporting evidence-based planning and in spatial data collection. ā®š Drones can help in ā€¦ a. the analysis of soils and drainage b. crop health assessment and c. In variable rate application of liquid pesticides, fertilisers and herbicides on small case Drone Technology: (UAVs)
  • 35. ā®š What is Robot ā®š Agricultural robots automate slow, repetitive and dull tasks for farmers, allowing them to focus more on improving overall production yields. ā®š Some of the most common robots in agriculture are used for: 1. Harvesting and picking 2. Weed control 3. Autonomous moving, pruning, seeding, spraying and thinning 4. Sorting and packing 5. Utility platforms Farm Automation/ Robots :
  • 36. Following steps for a DSS: Decision support system (management) ā®šIdentify environmental and biological states and processes in the field that can be monitored and manipulated for the betterment of crop production. ā®šChoose sensors and supporting equipment to record data on these states and processes. ā®šCollect, store and communicate the field recorded data. ā®šProcess and manipulate the data into useful information and knowledge. ā®šPresent the information and knowledge in a form that can be interpreted to make decisions. ā®šChoose an action associated with a decision to change the identified state or process in a way that makes it more favourable to profitable crop production. Russo and Dantinne (1997)
  • 37. 1. Purchase a mapping programme 2. Collect spatial data 3. Map field boundaries 4. Keep records 5. Obtain remote images 6. Purchase a yield monitor 7. Purchase a DGPS receiver 8. Generate yield maps 9. Use yield maps for scouting 10. Generate profit maps 11. Use yield and profit maps for land 12. Take site-specific soil fertility samples 13. Manage subfields Steps involved in precision agriculture adoption
  • 38. ā®šLack of technical knowledge and technological expertise. ā®šSmall plots or clusters of land. ā®šHigher costs in fetching PF systems. ā®šPoor penetration to Internet availability. ā®šIlliteracy rate high in the country. ā®šReduced availability of labour. ā®šBetter management of large scale crops. Challenges
  • 39. ā®š Creation of multidisciplinary units involving scientists from various fields, Engineers, Economists to layout design for Precision farming. ā®š Formation of farmerā€™s co-operatives ā®š Governmental legislation to use agricultural inputs judiciously. ā®š Pilot study to be conducted on farmerā€™s field to show the results of Precision Farming. ā®š Creating awareness amongst farmers. Steps to be taken for implementing Precision Farming in India
  • 40. Advantages of precision farming Lina D Shinde.(2020)
  • 41. Drawbacks of precision farming ā®š High cost. ā®š Lack of technical expertise knowledge and technology. ā®š Not applicable or difficult/costly for small land holdings. ā®š Heterogeneity of cropping systems and market imperfections.
  • 43. Case study : 1 The study was conducted in the Dharmapuri district and data on precision and non-precision farmings were collected through the interview schedule during the year 2007. The respondents were selected randomly from the five identified blocks in such a way that there were 35 adopters and 35 nonadopters of precision farming in each of tomato and brinjal crops, making the total sample to be of 140 respondents.
  • 44.
  • 45.
  • 47. ā€¢ conducted a 3-year project to investigate the agronomic efficiency of VR application of P and K fertilizers in potato production on a 2-ha field. ā€¢ As a first step, spatial variability on the site was investigated. An intensive soil survey of the field revealed high pedodiversity. ā€¢ The experimental field was stratified into eight soil map units, representing four soil series and also differentiated based on soil textural class of the A horizon and slope (Fig. 2a). ā€¢ An intensive grid sampling (15 mƗ15 m; n= 106) of the 0ā€“20-cm soil layer was performed to study the spatial variability of P and K. Soil P ranged from 8 to 274 kg P haāˆ’1 with a mean value of 90 kg haāˆ’1 , and soil K ranged from 29 to 338 kg K haāˆ’1 with a mean value of 111 kg haāˆ’1 ā€¢ Based on the kriged maps (Fig. 2b, c), an experimental strip plot design with three treatments and four blocks was implemented (Fig. 2d). ā€¢ The control treatment had no added fertilizer, the uniform rate application (URA) treatment consisted of uniform application of P and K, and the VR application (VRA) treatment consisted of variable rate of application of P and K based on the kriged maps of P and K and local fertilization recommendations
  • 48. In one year out of three, VRA of P and K significantly increased the total and marketable tuber yield compared with the uniform application of P and K
  • 49. Conclusionā€¦. ā®š Precision Farming in many developing countries including India has numerous opportunities for farmers to identify better high yielding location specific crops. ā®š Precision Farming can immensely help in reducing cost of production and increase profits and marginal return. ā®š Using the key elements of information, technology and management; precision faring can be used to increase production efficiency, improve product quality and protect environment. ā®š The PF would trigger a techno-green revolution in the world or in India.
  • 50. Thank You M.S. Swaminathan : ā€œPrecision farming is a way to achieve an evergreen revolutionā€.