From the scorched corn fields of Kansas, to the storm-lashed hills of
Nicaragua, an increasingly volatile climate is posing ever greater
challenges for farmers around the world.
But opportunity is
arising from crisis, through next-generation climate analysis tools that
could make agriculture - the world's largest industry - vastly more
efficient and profitable.
The Climate Corporation,
founded by two ex-Google engineers, is dragging a famously technophobic
industry into the digital era. Through exhaustive data modeling and an
elite pool of climate and agriculture analysts, the Corporation is
seeking to take guesswork out of the field.
"The increasing
uncertainty in agriculture, with the changing patterns of weather we are
seeing, is making it difficult for farmers to grow successful crops
consistently," says CEO David Friedberg. "The tools we provide help
farmers make smarter decisions based on analytical techniques, rather
than intuition."
Friedberg sees "huge opportunities" to revolutionize a vast industry that employs over one billion people
and occupies almost half the planet's total land, but has not adapted
to the possibilities of data, despite its vulnerability to climate
change.
The Climate Corporation's
model produces hyper-local climate forecasts for individual farms,
using satellite imaging, growth modeling and simulations. This is
supported by decades of data, much of it from government sources,
covering crop performance, soil properties, moisture levels and weather.
The free "Basic" platform allows farmers to monitor their land and crops, while the "Climate Pro"
platform includes a suite of features such as to optimize use of
nitrogen fertilizer, control pests, and plan perfect harvests.
"Fertilizer is the number
one expense for farmers and they are basically throwing away money,"
says Friedberg. "We can help farmers decide how much fertilizer to put
in the field at what point in the season, reducing what goes into the
atmosphere and waterways, so that 100% goes to plants to deliver food."
While Friedberg is a
strict vegetarian and keen to support environmental protection, his
priority is to convince farmers with an economic argument.
"I don't see collective
action on climate change in agriculture. We need to create commercial
incentives to change behavior, that's where we can be successful."
The company estimate they can make $20 billion in efficiency savings in the U.S. by applying their data models, and increase corn field yields by 30% an acre.
"Our initial results show a 10-20% increase in yield," said Tim Malterer, a Minnesota farmer that uses the software.
With the UN's agriculture body claiming that the food supply needs to increase 70% by 2050
to meet the needs of a growing population, without cultivating new
farmland, there is an imperative for the industry to do more with less.
The challenge is
daunting but the Corporation's ambitions are on a global scale. Having
been recently acquired by Monsanto in a $1 billion deal -- which
Friedberg claims has not altered its work -- the group has vast
resources.
Its technology covers 50 million acres
in the U.S., including a third of total land for corn and soybean,
serving thousands of farmers. This figure is growing rapidly, and its
platforms will be rolled out internationally from 2015.
That level of adoption
would enable dramatic changes in the industry. Friedberg would like to
see farmers choosing different crops to suit the climate data -- such as
switching from wheat to corn in Canada as the weather warms -- and
planning five-season cycles that use a better understanding of the
changing properties of soil
Optimal performance
The opportunities for data in agriculture are also shown by Edyn, a Californian startup that emerged from one of the state's worst ever droughts.
"Around the world, water
stress has been one of first impacts of climate change on agriculture,"
says founder Jason Aramburu. "But most farmers still haven't adopted
water saving techniques."
With award-winning
designer Yves Behar, Edyn produced a multi-faceted sensor that allows
growers to micro-manage their plots, providing constant readings on
moisture level, with a connected water valve that keeps the level
optimal. It also gives readings of light, temperature, humidity and
fertility so that even inexperienced users can sustain high performance
yields.
The device,
which more than trebled its crowdfunding goal, is initially targeted at
smaller growers. But Aramburu wants to build immense data sets from
environmental input, which would scale to the needs of high volume food
production. The sensor is undergoing trials with major farm operators.
Aramburu is confident
about the integration of data, but believes the industry must change now
to protect livelihoods and the environment.
"It's a question of
when, not if," he says. "This is as big an opportunity as the Internet
was, in one of the last big industries that has not adopted big data.
"If we do nothing, more
farmers will have to leave their land over the next decades...which
means creating new farmland, which would have a dramatic environmental
impact."
Data modeling in
agriculture has great potential, believes Mckenzie Funk, author of
"Windfall," an investigation of how businesses are adapting to climate
change and in some cases seeking to exacerbate it.
"Hyper local data can't
hurt macro farming, although it's still early for the science and we may
not see the full effects for five or 10 years," says Funk. "If
efficiencies deliver profits that will be a major incentive for change."
Funk adds that improving
efficiency of existing farmland would have less negative effects than
cultivating new land, and hopes the concept is expanded.
"I don't think there's a
problem with people making money from climate change. My only concern
is whether the technology would be expanded to farmers everywhere,
whether they can afford it in places like the Sahara, otherwise the
effects (of climate change) will continue to get worse."
With the right information, even the most extreme conditions can be profitable.
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