Precision Ag in Practice: Mike Smith | Letting data do the work
Summary
TLDRMike Smith discusses the use of precision agriculture on his family farm in New South Wales. With a decade of yield monitor data, he employs statistical programs to cluster zones and apply variable rate technology for targeted fertilization. This approach not only optimizes crop yield but also reduces costs by $21,000, emphasizing the importance of accurate yield data and the potential of precision farming to improve both productivity and sustainability.
Takeaways
- đșïž The script discusses a method of analyzing farm data using a map based on years of gathered data to identify similar zones within a field.
- đ A stats program is used to cluster data into zones, which can help in understanding variations in yield and protein levels across different areas of a farm.
- đĄ The farm discussed is a family-owned property in northern New South Wales, Australia, with a history dating back to 1913.
- đ The use of a yield monitor since 1996 has allowed the farm to quantify yield variations, which can be as high as 30%.
- đŸ Precision agriculture technologies, such as variable rate technology, are used to apply different amounts of inputs like nitrogen (N) and phosphorus (P) based on the needs of each zone.
- đ A protein sensor on the header helps gather protein data, which is used to calculate the balance of nutrients applied and removed with the crop.
- đ° The farm has realized significant cost savings by using variable rate application, amounting to about $21,000, which is crucial as fertilizer prices rise.
- đ The script emphasizes the importance of accurate yield data for both financial compensation and making informed decisions about nutrient application.
- âïž The farm applies an average of 221 kilos of fertilizer across the field, with variable rates ranging from 159 to 315 kilos depending on the zone's needs.
- đ Mike Smith, an early adopter of these technologies, advises other growers to not overcomplicate things and to focus on getting accurate yield data.
- đ± The approach is seen as an opportunity to better care for the land, maintain nutrient rates efficiently, and avoid wasting resources on less productive areas.
Q & A
What is the purpose of the map mentioned in the transcript?
-The map is created based on a significant amount of data gathered over ten years to analyze and visualize the yield and protein data of a farm, aiding in precision agriculture.
What does the term 'cluster or build zones' refer to in the context of the transcript?
-It refers to the process of dividing a farmland into different zones with similar characteristics using statistical analysis to optimize farming practices.
How long has Mike Smith been using yield monitors on his farm?
-Mike Smith started using yield monitors in 1996, which means he has been using them for approximately 28 years by the time of the transcript.
What is the observed yield variability from the header mentioned by Mike Smith?
-Mike Smith observed a yield variability of about 30 percent from the header.
What does precision agriculture mean in the context of the transcript?
-Precision agriculture refers to the use of technology to apply variable rate inputs such as fertilizers based on the specific needs of different zones within a field.
What additional sensor does Mike Smith have on his header besides the yield monitor?
-Mike Smith also has a protein sensor on his header to gather protein data.
How does Mike Smith use the stats program to analyze the farm data?
-Mike Smith uses the stats program to calculate average yield and protein levels for different zones, which helps in understanding the nutrient uptake and application efficiency.
What is the significance of the nitrogen and phosphorus balance mentioned by Mike Smith?
-The balance of nitrogen and phosphorus is important for understanding the nutrient inputs required for crops and ensuring that resources are not wasted on less productive areas.
What is the average amount of nitrogen applied across the paddock as per Mike Smith's data?
-The average amount of nitrogen applied across the paddock is 221 kilos.
What is the potential savings Mike Smith mentions by using variable rate technology?
-Mike Smith mentions potential savings of about $21,000 by using variable rate technology for different areas of the farm.
What advice does Mike Smith give to other growers considering precision agriculture?
-Mike Smith advises not to overcomplicate things, to pay attention to yield data, and to calibrate the yield monitor at the beginning or end of the season to maintain accurate data.
How does Mike Smith view the opportunity of precision agriculture?
-Mike Smith sees precision agriculture as an opportunity to better care for the land, maintain nutrient rates efficiently, and avoid wasting resources on less productive areas.
Outlines
đ Precision Agriculture and Yield Monitoring
Mike Smith discusses the use of a map created from ten years of data to analyze farmland in northern New South Wales. The map is generated using statistical software to cluster similar zones within the farm. The farm has been utilizing yield monitors since 1996 to quantify yield variability, which can reach up to 30%. Precision agriculture techniques, including variable rate technology and protein sensors, are employed to optimize nutrient application. The data collected helps in understanding the balance of nutrients put into the soil versus what is taken out with the crop, leading to cost savings. The farm has seen savings of around $21,000 by applying variable rates of nitrogen across different areas of the field. As fertilizer prices rise, the economic benefits of precision farming become more significant.
Mindmap
Keywords
đĄMap
đĄData
đĄStats Program
đĄCluster
đĄYield Monitor
đĄPrecision Agriculture
đĄProtein Sensor
đĄVariable Rate Technology
đĄZones
đĄNitrogen (N)
Highlights
A map based on ten years of data is used to gather data back to a single point for analysis.
A stats program is utilized to cluster and build zones within a paddock based on similarity.
The map creation process is not a new concept but has become more familiar in modern farming.
The farm has been using yield monitor technology since 1996.
Variability in yield can be as much as 30 percent.
Yield monitor technology allows for the measurement and quantification of yield across a paddock.
Variable rate technology is used under the precision agriculture umbrella.
A protein sensor on the header gathers protein data.
The stats program provides average yield and protein data for different zones.
Nutrient balance and costing are considered to cover nitrogen and phosphorus inputs for crops.
Variable rate application results in savings of about $21,000.
As fertilizer prices rise, variable rate technology becomes more interesting.
Mike Smith suggests not to overcomplicate things and to focus on yield data.
Calibration of yield monitors should be done at the beginning or end of the season.
Yield data is crucial as it directly relates to payment.
Precision agriculture is seen as an opportunity to better maintain nutrient rates and avoid waste.
Measuring and targeting nutrient application is sensible and beneficial.
Transcripts
What we've got here is a map
that is based on a whole lot of data
that we've gathered over a number of
years.
You have got ten years worth of
data. You want to get that data back
to a single point, and then
we drop it into a stats program,
and so we've used the stats program
then do what they call cluster or
build zones and it just says,
well I want to find five
zones or four zones in this paddock
that are similar.
And it just looks at all the data,
whether it's ten years, 15 years
worth of data and it'll
give you this map.
It's not the new face of farming,
but these days it is a more
familiar one.
Mike Smith.
We're on a farm where 50km
south east of Moree, in northern New
South Wales.
It's a family farm, my grandfather
bought this place in 1913.
We started with the yield monitor in
1996, so
we've been doing it for a while.
I'd spent time as most of the young
blokes when they come home they want
to drive the header, so I was on the
header and yeah you're just looking
at the variation in yield.
Well, when you could see the
variability in the yield from the
header, it's probably about a 30 per
cent variation.
So when I read about yield monitor
I thought well that'd be really cool
if we could actually measure it and
quantify it across the paddock.
That quantifying happens via
various forms of variable rate
technology, which falls under
the umbrella of precision
agriculture.
We also have a protein sensor on the
header, so we have gathered
protein data.
So what I've asked the stats program
to do is give me the
average yield for particular
zones, you can see the colours of
the areas for those zones
and the protein.
We can work out how much N we've put
on, so we know how much we've taken
out with the crop. We look at the
end balance and we've got a costing
here to cover the N and
the P that was put on for the crop.
So when we go through how that
translates into the costs is
we spread an average of 221
kilos across that paddock.
So the top rate was 315
kilos, the bottom rate was 159.
Had we thought, well, we really
need to target our top yield
or area, and we spent 315
across the whole lot, our savings
with variable rate for the different
areas work out at those so it
tallies up to about $21,000.
As these fertiliser prices are
getting higher it's um,
I guess their variable rate is starting
to be pretty interesting for
everyone.
So what tips does early adopter
Mike Smith have for other growers?
Don't over complicate things, I
think. Pay attention to getting
yield data, don't be absolutely hell
bent on having the yield
monitor dead accurate.
If you're going to calibrate either
calibrate right at the very
beginning or at the end,
don't play with through the season,
because as soon as you start
calibrating through the season, what
happens is you're going to shift
all your yield data.
The yield data is very important
because ultimately that's what you
get paid for so you want to know
what's going on.
I guess it's just trying to do it
better. If we've got the
information, well, why not
target it, right?
I look at it as an opportunity to
say, push our country
better look after it better, try and
maintain our
nutrient rates and we're not wasting
it on the the poorer areas.
So just makes sense to be
able to try and do it if we can
measure it, why not do it?
Voir Plus de Vidéos Connexes
Farmers in the Netherlands are growing more food using less resources | Pioneers for Our Planet
2019 Monash 3MT Finalist - Rahul Raj, Engineering
IMPLEMENTASI PERTANIAN PRESISI BERBASIS REVOLUSI INDUSTRI 4.0
How IoT is Revolutionising the Agriculture Industry
Success Story: AI/ML Computer Vision for the Next Generation Poultry Farms
Allison Jensen's English 2010 PowerPoint
5.0 / 5 (0 votes)