Farming from space (Page 1 of 2)
How GPS and satellites are taking over farmers’ toolsheds
By Don Gayton with
photography by Tim Smith
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| The Indian Head Research Farm “checkerboard” as seen from above (Photo: Tim Smith) |
We enter the Indian Head Research Farm headquarters,
a small, well-organized village of buildings, Quonset
huts and grain bins arranged around a main yard. The
complex is surrounded by a dense grove of shelterbelt trees.
Beyond the treeline, grain fields stretch to the horizon. The
farm, located 75 kilometres east of Regina, is busy this April
day, as people and machinery come and go. Spring has
arrived late to Saskatchewan; a ferocious blizzard halted
everything for a few days, but now seeding is in full swing.
Guy Lafond leads me over to a large Quonset where a
tractor and seeding drill are parked. An intense and engaging
agriculture scientist, Lafond is one of the veterans of
Indian Head who has made his mark during his 25-year
career. While Lafond chats with a colleague, I take a look at
the business end of the seeding drill. I recognize the furrow
openers that cut a path in the soil. Just behind them are
separate seed and fertilizer delivery tubes and, behind those,
hydraulically controlled packer wheels. The top of the
machine is a complex maze of bins, delivery tubes, air
compressors and electronic sending units.
There’s something else that’s out of the ordinary: a Global
Positioning System (GPS) monitor, similar to what you’d
find in a passenger vehicle, is mounted in the cab, and the
tractor features hydraulic steering cylinders that I’ve never
seen before. If I didn’t know better, I’d think that someone
did a “Pimp My Ride” job on this dusty farm vehicle.
Lafond picks up on my curiosity. “That tractor you’re looking
at is a good example of precision-farming technology,”
he says with a smile. “It’s equipped with auto-steering.”
A tractor that drives itself is GPS wizardry not normally
associated with farming. But as I am about to learn during
my visit to Indian Head, this is only one application in the
constellation of space-age farming tricks with far-reaching
potential. “Precision agriculture” is helping farmers change
how they work and learn things about their land they never
thought possible. GPS and Earth-observation satellites are
offering both navigational know-how to farm machinery and
a treasure trove of data on soil and crop health, down to a
few square metres, to farmers. With this new knowledge
and tool kit, farmers can tailor their practices to the varying
conditions of the land, which means lighter applications
of fertilizer, higher crop yield and more effective soilconservation
practices. Indian Head, it turns out, has a lot
to say about the future of Canadian farming.
Prairie agriculture is not generally thought of as a
high-tech endeavour, but it is. Since the 1880s here in
Saskatchewan, grain farmers and researchers have continuously
pushed the innovation envelope. Isolated and faced
with wildly unpredictable weather, they learned early on to
adapt and invent farm implements and cropping techniques
to suit the demands of Canadian prairie conditions. Between
1905 and 1975, an impressive 1,000 agricultural patents
were issued to Saskatchewan farmer-inventors. New designs
and successful modifications were made to every conceivable
implement — swathers, seeders, diskers, rod weeders. Early adopters of new technology abound within that dry
triangle once declared unsuitable for anything but ranching
by Irish explorer Captain John Palliser.
Indian Head Research Farm, operated by Agriculture
and Agri-Food Canada, was born in 1886 and grew in
tandem with prairie agriculture. The sense of history is
palpable as Lafond and I walk from the Quonset over to the
elegant brick office building. This is where summerfallowing
was first practised, where Marquis wheat — a famed
hardy and quick-growing variety — was first field-tested and
distributed and where no-till farming was researched before
it was widely adopted elsewhere.
Lafond has had a hand in numerous agricultural innovations.
He started his research career in the 1980s, during the
early stages of the no-till farming revolution, and has closely
tracked it ever since. Summerfallowing, a traditional grainfarming
practice, was done to control weeds and store up soil
moisture and nutrients for the next crop, but leaving the land
black for an entire year exposed it to the ravages of wind and
water erosion. With no-till, the subsequent crop is planted
directly into the stubble of the previous crop. Land cultivation
is virtually eliminated, and weed control is achieved with
a chemical herbicide. No-till allows for the gradual rebuilding
of critical soil organic matter, which breaks down every
time the soil is tilled. Over the years, it has been shown to
improve the long-term productivity of prairie soils.
Much of Lafond’s voluminous research work revolves
around crop nutrition, weed control and soil conservation. “For me, good agricultural research is about understanding
problems and setting priorities,” he says from the comfort
of his office, with Indian Head’s official mouser purring
loudly under a chair. This makes his present focus on the
hardware and software side of agronomy — implements and
monitoring systems — all the more curious.
Lafond smiles and offers a two-word explanation.
“Precision farming,” he says, with a faint francophone
lilt betraying his family roots in St. Jean Baptiste, Man.
“Maximizing yield and sustainability by applying crop inputs
like seed, fertilizer and pesticides in just the right amounts,
at just the right time and in just the right place.”
That explains the unusual hydraulics and computer monitor
I was puzzling over minutes ago. Lafond explains that
on-board GPS navigation systems are being developed to
analyze complex farm fields, taking into account irregular
borders, permanent obstacles and the width of the farm
implement used, and to compute an “optimum path” that
minimizes the number of overlaps the tractor drivers have
to make as they traverse the field.
“When you’re pulling a 75-foot seeder or a 120-foot
sprayer behind you,” says Lafond, “it’s very difficult to line
up the edge of the implement right at the edge of your last
pass, to avoid skips or overlaps. Auto-steering uses GPS
technology to align and steer the tractor precisely relative to
the last pass down the field. That means a big saving, since
you are not wasting expensive seed or fertilizer or spray by
overlapping. It also reduces driver fatigue.”
Most of all, precision agriculture means more productive
farms, he says. Small changes in topography, soil type, fertility
and moisture levels within these fields can translate into
big changes in crop yield. “The technology we’re working
on,” says Lafond, “attempts to provide farmers with the
ability to respond to those in-field variations by applying different
amounts of crop inputs — in this case, nitrogen fertilizer.
So one of my pet definitions for precision farming is
the management of variability.”
GPS-based farm applications, such as auto-guided tractors
and harvesters, use ground-based receivers that capture
radio-wave signals from overhead satellites; these
signals carry precise navigational coordinates. The same
technology can be used to tag soil samples or harvested
crops from multiple areas, a handy management tool for
farmers. Yield maps, for example, can be generated from
data collected by high-tech combines that measure the
moisture and protein content of grain as it is harvested,
as well as the yield. If the system includes a GPS receiver,
the resulting information shows the precise position where
the grain was harvested.
Earth-observation satellites make possible a different set
of precision-farming tools. These satellites, such as Canada’s
RADARSAT, transmit and receive microwave data that can be
processed into information-rich, high-resolution maps
revealing soil conditions and crop health and providing
clues on how best to manage drought and floods (see sidebar, Growing by satellite).
Data from Earth-observation satellites are at the heart of
Lafond’s research with the Normalized Difference Vegetation
Index (NDVI). These satellites measure the amount of light
reflected by crop canopies from two specific light bands:
green leaves strongly absorb visible light and reflect nearinfrared
light, whereas bare ground does just the opposite.
The resulting data are built into the NDVI map. When
linked to GPS coordinates, NDVI can give a picture of
productivity: on a given plot of land, the higher the NDVI
index, the more crop biomass there is.
Up to now, NDVI has been used primarily for large and
even global-scale vegetation assessments, but Lafond has
been able to narrow its scope to the farm level to assess
crop variability. “We assume that NDVI values equate to
plant biomass, which equates to final crop yield,” he says.
“So we get an NDVI image of a particular field and divide
it into areas of high, medium and low crop productivity. We
have compared our NDVI classifications against the actual
yield literally hundreds of times now, and we know we’ve got
a very strong relationship.”