Precision Agriculture : Equipments and Technologies
Traditional Agricultural practices
Mechanised Agricultural Practices
Ø Application
of right amount of
input to crops at the right time
and right place.
Ø It
is an approach to farm management by the farmer to use an adequate amount of crop
inputs at optimum place, while keeping in mind the motive to apply the inputs
at the required place only and resulting in saving of inputs, time and energy.
Ø Assuring
farmers with maximum possible profit.
Procedure
Ø Data
is collected initiaaly by GIS/GPS/Sensors etc.
Ø Analysed
by models/Decision Support System etc.
Ø Ensured
Profit/Benefits/Increased productivity.
Components of Precision
Agriculture(PA)
Ø GPS/GLONASS
Navigation.
Ø Sensors
Ø Remote
Sensing
Ø Analysing
Models
Ø Data
Management
Ø Yield
Monitoring
Ø Automatic
mechanisms
Ø Variable
Rate Application Sensors
Ø Telematics
Equipment
Ø GPS/GLONASS
Ø Sensors(Location,
Optical, Air flow, electrochemical, mechanical
etc)
Ø Navigators
Ø Drones
Ø Satellite(for
Remote sensing)
Emerging Technologies
Ø Robots
Ø Drones
and Satellites
Ø IOT
Ø Smart
Phone applications
Ø Machine
learning
4 Ms of PA
1.
Measurement
Ø Measurement
of parameters(data)
2.
Mapping
Ø Draw
map to portray the field conditions
3.
Monitoring
Ø Changes
in field conditions
4.
Modelling
Ø Alternative
actions and processes
3 S of PA
1. Satellites
Ø Accessed
with GPS/GLONASS/GALILEO System/GAGAN Navigation System(ISRO)
2. Smart Phones
Ø Navigations
Ø Sensors
Controlling
3. Softwares
Ø GIS(Geographic
Information System)
Ø QGIS(Quantum
GIS)
Ø SAGA
GIS(System for Automated Geoscientific Analyses GIS) etc.
Remote Sensing
Ø Collecting data without having any physical
contact with it.
Ø Two
types of sensors used: Active and passive
Ø Active
instruments are those that emit their own light for measurement of data.
Ø Passive
instruments emit or radiate natural light or any other light most commonly
sunlight.
Ø Active
sensors: Laser altimeter,
Lidar, Radar, Ranging instrument, scatterometer, sounder.
Ø Passive sensors: Accelerometer,
Imaging
radiometer, Hyperspectral radiometer, Radiometer, Spectrometer, Spectroradiometer.
Precision
inputs application, Yield Monitoring & Data Management
Ø Variable
Rate Application with help of navigators, GPS.
Ø More
precise data can be obtained by using précised technologies.
Ø GIS
software provide adequate information.
Benefits
Ø Maximum
Yield
Ø Minimum
Losses
Ø Early
yield prediction
Ø Early
harvest
Ø Increased
Productivity
Ø Timeliness
in operation
Ø Good
quality yield
Issues
Ø Costlier
approach
Ø Weather
interferes in signals
Ø Not
suitable for small-scale farmers
Ø Farmer’s
negative attitude
Unmanned
Aerial Vehicle (DRONE)
Ø Can
carry up to 2.6 gallons (10 liters) of liquid (pesticide, herbicide or fertilizer)
Ø Have
a flight range of 7-10 acres per hour
Ø Microwave
radar enables the drone to maintain the correct distance from crops and ensures
even coverage
Ø Easier
to control
Ø Easier
to distribute crop inputs at the right place
Ø Less-fatigue
Ø No-human
labor required
Issues
Ø Time
taking
Ø Image
processing Complexities
Ø Difficulty
of operation
Ø Costly
IoT
in agriculture
Ø Internet
of things is another helpful approach in precision agriculture.
Ø It
was estimated that IoT devices in agriculture will increase from 30 million in
2015 to 75 million by 2020 at a compound annual growth rate of 20%.
Precision
Livestock Farming
Ø Robotic
Milking
Ø Huge
scope for commercial cattle farming due to the high demand for milk and milk
products.
Ø Poultry
monitoring with image processing assessed by softwares.
Why
Precision Agriculture?
Ø Decreased
losses
Ø Increased
profits
Ø Increased
yields
Ø Less
Overlap and missed areas (Navigators, drones)
Ø Protect
Environment
Ø Feed
7.7 billion people of the WORLD
INDIA
Ø Doubling the income of farmers by 2020
Ø Employment
Ø Less deaths of farmers due to pesticides intake, losses
and malnutrition.
Precision agriculture
solutions
Ø Custom hiring centres
Ø Greenhouse robot harvesting
Ø Smart phone applications
And
much more…..
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