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Precision farming
proper and efficient management of a specific unit of area or space
Tools of trade
Global Positioning System (GPS)
Geographical Information System (GIS)
Yield Monitoring
Remote Sensing
Variable Rate technology
Spacial variability
Distance and depth
Temporal variability
Measure of how in this specific area year to year changes causes variability
Causes of Spatial Variability
Soil Type, Topography, Biology, Fertilizer, Tillage, Crop
Georeferenced Data
Data which has coordinates (location) includes GPS(accuracy) and GIS(data layers & prescription maps)
Spatial Variability; Lateral Variability
variability as you move across the plot
Spatial Variability; Vertical Variability
Variability as you move through the soil horizons
Temporal Variability
Minute to minute, day to day, week to week…
Global Navigation Satellite Systems (GNSS)
GPS (US)
GLONASS (Russia)
EGNOS (European) - GALILEO
BeiDou (China)
IRNSS (India)
QZSS (Japan)
History; 1978 & 1995
4 satellites launched system in April, GPS needed to identify location no matter where you are
Space Segment
31 satellite vehicles and 6 orbital plains, 5-8 satellites visible from any point on Earth
S Band Antenna
Collects information and is the control center telling satellite to change time or move
L Band Antenna
communicates to our devices and determines where you are
Position Based on Time
ex: T+3 = 3 times the speed of light
Oscillation Frequency in Atomic Clock
Counts number of oscillation that is removed
Trilateration
method of determining a location by measuring distances to at least 3 known points
Signal interference
Orbital Error
Clock Errors
Atmospheric Errors
Multipath Errors
Receiver Errors
Control Segments
Helps control control clock and orbital errors, Clocks need to be in sync = 4 satellites
Atmospheric refraction
Delays satellite signal
Troposphere
lowest layer of the earths atmosphere
Ionosphere
Can delay signal as it passes through and slows down signal
Multipath Error
Surface that reflect or block a signal (metal buildings and water)
Receiver Errors
Correction
single frequency
dual frequency
Differential Correction (DGPS)
Simplest form of correction use of base station and its location (the closer to the base the more accurate)
Wide Area Augmentation System (WAAS)
developed for airplanes, satellites placed at a higher elevation
Private WAAS
Omnistar, swift, navcon
NASA and RTK
To prove theory of relativity
Real time kinematic (RTK)
Relies on FM signals from base station and is accurate
2 Clock analogy; Pseudo random code
hidden inside L band, knows what time it is
2 clock analogy; carrier signal(millisecond)
repeats way quicker every .365 microseconds
Autonomous Tractors
ProTrakker, electric tractor, driverless tractor
Precision Guidance
Driving in a straight line
Guidance system adoption
Fastest acceptance levels for large acreage
Evolution of auto guidance; lightbar guidance
green lights in the middle if off by 3ft then 3 red lights and steer again 2ft off shows 1 green and 1 red
Accuracy
WAAS<RTK
User supplied base station
Located on a designated location transmitting signals via AM,PM, or cellular signal (size of are depends on signal strength)
RTK clusters and networks
maintained by John Deere with 30 RTK towers tells us which tower is closer for mor accuracy
Evolution of the Auto-Steer
direct attachment to the hydraulic system, the knob on the actual working wheel
Roll-pitch-yaw
need minimum of 2 to detect
Roll
change in elevation between left and right side and works against gravity (roll & pitch or roll and yaw)
Pitch
change in elevation of front and rear wheels (down or up hill)
Yaw
sliding action related to pitch moving left or right
Terrain compensation sensors
inertial sensors, integrated GPS/GNSS receivers detecting roll, pitch, yaw (like the starfire)
Degraded position
loss of satellite or radio signal, signal gained again back to a straight line
Driverless tractor system; supervised autonomy
diver would observe and the tractor would drive on its own (Cse IH and John Deere)
Driverless tractor system; fully automated
could function without control of farmer (Kinze and Fendt)
Implement guidance; Passive Guidance
Trimble- true tracker and John Deere -iguide tracker does everything
Implement guidance; Active guidance
Autofarm-AFTracker, Sunco-acura track, Orthman- GPS ready tracker
Controlled traffic farming
CTF requires: technology equipment and organization
Random traffic farming
soil compaction- random amounts at different parts of area
RTK vs CTF
Following possible paths - Driving in portion of field once taking a large amount of weight
Lower yield due to compaction
Controlled - Driven in set path and not allowed to leave
Benefits of CTF
Lower energy, lower machinery investment, better seedbeds, improved crop yields
Soil sampling
evaluating soil properties and determining fertility
Grid Sampling
simple concept, Can still composite it and average or can take a grid sample point and keep as individual
Advantages: no field history needed, minimum skill level
disadvantages: no justification for grid sizes
Directed sampling
requires more info on the field
Advantages: reduced time and labor and more economical
Disadvantages: Higher skill level required and field knowledge
Interpolation
Uses known soil property data from sampled location to estimate values of upsampled locations
Automated soil sampling
To capitalize on higher density soil sampling several companies have developed machines to simplify the job
Falcon soil sampling
Agrobotics autoprobe
Wintex 1000 soil sampler
On the go soil sensor
Electrical and electromagnetic (correlated to soil parameters
Optical and radiometric (differences in absorption)
Electrochemical sensors (taking soil pH)
Mechanical sensors (measures force)
Pneumatic (injected air)
Acoustic (sound waves)
Geonics EM38
electromagnetic inducing based soil sensing
Veris Cart
Measures electrical conductivity data readout and correlated crop response
Veris VIS-NIR
visible and near-infrared reflectance, correlate to important soil properties
Near Infrared reluctance (NIR)
measurement of energy that is reflected or emitted from objects correlation between soil characteristics
Yield monitoring
Sensors mounted on a combine measuring; Methods to calculate yield and moisture and combine into a yield map
Yield mapping
fast feedback on nutrients, moisture, pest pressures like a report card
Plot yield monitors
small plot harvest very precise information and a better system
Components of yield monitors
flow sensor, moisture sensor, ground speed sensor, header position switch, processor/display console
Mass flow
Used more, How much grain being flung at a time
After machine has done the work clean grain elevator fills up and transported to machine and into collecting bucket
Radiometric
Used in Europe and Germany
Radioactive isotope - total americium 241 read = total yield
Load cell
in agar tube less grain less tumble
Volume measurement
Finite space- one side is a light source other s a detector
full lots of light captured = calculate volume
Capacitance
Most common method of moisture sensing
Not continuous has to be filled, Can't have things moving inside Fills, measures and cleans
Autoswath for harvest
Maps every place where seeds has been planted
no seed no yield for that area
Header position switch
arrows built-in green green red
Operation delay
5-7 seconds until moisture and weight data is measured (distance from plant passed)
Yield monitoring for cotton
Spindles grabbing cotton and spin up into bowls
Emitters count the number of cotton balls coming through
Volumetric flow system
Yield monitoring for silage
Monitors total amount of material passing through cutter
Cuts plant, sucks it into blades
Mass of material = how much you open
deflection total = yield
Yield monitoring in grapes
Load cell system, cleaning the grapes ensuring the mud weight is not taken (needs to be calibrated)
Yield monitoring in citrus
different systems for use of mechanical harvesters - counting system uses optical sensor
Yield monitoring in alomonds
crop dries in the ground introduction to possible errors
Yield monitoring in broccoli
load cell monitoring installed on harvest aid - compares hand and machine weight
Yield monitoring hand harvested fruits
map trees in field using GPS using RFID tags on bins and trees
Present data
data aggregation, number of zones, color scheme
Yield scrubbing program
filtering data through scrubbers cleaning field data multiple filters can be used
Data aggregation
method to group data into yield ranges
equal count
equal interval
standard deviation
natural breaks
Interpretation
shows variation not what caused the variation
Spatial Resolution
aerial vs Satellite pixel size
Spectral Resolution
B&W vs color and Multispec vs Hyperspec
Radiometric Resolution
distinguishing between energy levels
Temporal Resolution
orbit cycle vs revise period with sun synchronous
Swath and revisit time
area of view and time of revisit determined by altitude
Fixed wing
larger payload and longer flight times but less maneuver
Rotor
highly maneuverable easy to operate but shorter flight times