Zürcher Nachrichten - 'Harvesting data': Latin American AI startups transform farming

EUR -
AED 4.234305
AFN 73.206022
ALL 95.812234
AMD 436.184273
ANG 2.063925
AOA 1057.280409
ARS 1587.291241
AUD 1.667055
AWG 2.077953
AZN 1.961064
BAM 1.949927
BBD 2.330401
BDT 141.992303
BGN 1.970794
BHD 0.435312
BIF 3436.663292
BMD 1.152977
BND 1.479051
BOB 7.994884
BRL 6.053341
BSD 1.157025
BTN 108.831715
BWP 15.767643
BYN 3.429201
BYR 22598.351259
BZD 2.327111
CAD 1.595536
CDF 2628.787676
CHF 0.914658
CLF 0.026844
CLP 1059.885276
CNY 7.957269
CNH 7.976186
COP 4267.571808
CRC 537.981872
CUC 1.152977
CUP 30.553893
CVE 109.933392
CZK 24.476208
DJF 206.042059
DKK 7.472157
DOP 69.760177
DZD 153.327594
EGP 60.872574
ERN 17.294657
ETB 180.6651
FJD 2.59218
FKP 0.862237
GBP 0.864946
GEL 3.10733
GGP 0.862237
GHS 12.649842
GIP 0.862237
GMD 84.749724
GNF 10141.496666
GTQ 8.855288
GYD 242.069809
HKD 9.020571
HNL 30.638845
HRK 7.536091
HTG 151.723649
HUF 388.485269
IDR 19502.607732
ILS 3.606368
IMP 0.862237
INR 108.477969
IQD 1515.840693
IRR 1514031.885631
ISK 142.66913
JEP 0.862237
JMD 182.251828
JOD 0.81743
JPY 184.046854
KES 149.766145
KGS 100.827377
KHR 4640.043795
KMF 492.321403
KPW 1037.746034
KRW 1737.415627
KWD 0.354517
KYD 0.9642
KZT 558.260877
LAK 24946.076013
LBP 103458.959416
LKR 363.897058
LRD 212.319549
LSL 19.490063
LTL 3.404441
LVL 0.697425
LYD 7.377873
MAD 10.783173
MDL 20.231237
MGA 4822.515874
MKD 61.638053
MMK 2421.233218
MNT 4132.071286
MOP 9.317276
MRU 46.101338
MUR 53.763579
MVR 17.813319
MWK 2006.373981
MXN 20.570881
MYR 4.605059
MZN 73.671727
NAD 19.489979
NGN 1597.611466
NIO 42.581923
NOK 11.111258
NPR 174.132249
NZD 1.995233
OMR 0.443302
PAB 1.157015
PEN 4.001066
PGK 4.998964
PHP 69.383888
PKR 322.936082
PLN 4.273193
PYG 7528.388952
QAR 4.219572
RON 5.097888
RSD 117.448046
RUB 95.007374
RWF 1689.51831
SAR 4.325551
SBD 9.272285
SCR 16.055447
SDG 692.939845
SEK 10.837521
SGD 1.481118
SHP 0.865031
SLE 28.305819
SLL 24177.365885
SOS 661.211226
SRD 43.052736
STD 23864.298223
STN 24.426531
SVC 10.124548
SYP 128.491078
SZL 19.500432
THB 37.926607
TJS 11.078682
TMT 4.03542
TND 3.395258
TOP 2.776092
TRY 51.153211
TTD 7.867337
TWD 36.827174
TZS 2963.219161
UAH 50.801122
UGX 4281.086328
USD 1.152977
UYU 46.838713
UZS 14111.555625
VES 532.779606
VND 30382.099695
VUV 137.231179
WST 3.170146
XAF 653.989946
XAG 0.017078
XAU 0.00026
XCD 3.115978
XCG 2.085328
XDR 0.813357
XOF 653.995601
XPF 119.331742
YER 275.157775
ZAR 19.696538
ZMK 10378.184071
ZMW 21.665928
ZWL 371.258157
  • RYCEF

    0.3700

    16.06

    +2.3%

  • VOD

    0.0200

    14.74

    +0.14%

  • NGG

    -1.5300

    82.75

    -1.85%

  • GSK

    -0.1500

    54.56

    -0.27%

  • CMSD

    0.0142

    22.695

    +0.06%

  • RIO

    -1.3700

    86.15

    -1.59%

  • AZN

    -3.0600

    184.09

    -1.66%

  • BCE

    0.0450

    25.54

    +0.18%

  • RELX

    -0.3000

    32.16

    -0.93%

  • BP

    0.3900

    45.82

    +0.85%

  • BTI

    -0.0250

    58.425

    -0.04%

  • RBGPF

    -13.5000

    69

    -19.57%

  • CMSC

    -0.0750

    22.835

    -0.33%

  • JRI

    -0.0100

    12.11

    -0.08%

  • BCC

    0.3100

    75.03

    +0.41%

'Harvesting data': Latin American AI startups transform farming
'Harvesting data': Latin American AI startups transform farming / Photo: Sergio Lima - AFP/File

'Harvesting data': Latin American AI startups transform farming

For centuries, farmers used almanacs to try to understand and predict weather patterns.

Text size:

Now, a new crop of Latin American startups is helping do that with artificial intelligence, promising a farming revolution in agricultural giants like Brazil, the world's biggest exporter of soybeans, corn and beef.

Aline Oliveira Pezente, a 39-year-old entrepreneur from the Brazilian state of Minas Gerais, was working at agriculture company Louis Dreyfus Commodities when she noticed a problem in how the farming industry operates in Brazil.

Producers need huge amounts of credit up-front to buy inputs like seed and fertilizer, she says. But lenders are wary given how difficult it is to size up the myriad risks, from the natural -- droughts, floods, crop disease, erosion -- to the financial -- bankruptcy, price crashes and more.

In 2018, Aline and her husband Fabricio launched a startup called Traive that collects massive amounts of agriculture-related data, then analyzes it with AI, breaking down the capital risk for lenders and giving farmers easier access to credit.

"Lenders used to each use their own (risk analysis) model. Imagine like a giant Excel file," Aline told AFP. "But it's very hard for humans, even those who are super knowledgeable of statistics and mathematics, to create equations that capture the nuances of all the variables.

"They were taking three months to do something that we can do in five minutes with way better accuracy," said Aline, who has a master's degree specializing in AI and data analysis from Massachusetts Institute of Technology.

- AI for agriculture -

Seven years on, Traive's clients include agro-industry giants like Syngenta, fintech firms and Latin America's second-biggest bank, Banco do Brasil. More than 70,000 producers use its platform, which has facilitated nearly $1 billion in financial operations, it says.

Aline presented her work this week at the Rio de Janeiro edition of Web Summit, the massive tech gathering dubbed "Davos for Geeks."

Speaking alongside her on a panel called "Harvesting Data: The Next Agricultural Revolution," fellow entrepreneur Alejandro Mieses explained how AI has the potential to reshape farming.

Worldwide, farmers are increasingly turning to AI to boost yields and returns, with applications like self-driving tractors, drones that track crop health and smart cameras that recognize weeds for herbicide treatment.

Mieses's Puerto Rico-based startup, TerraFirma, developed an AI model that uses satellite images to forecast environmental risks like natural disasters, crop disease and erosion.

"We insist on the physics of it, because we believe that is the base point. Understanding how water moves, how wind moves, how different solar exposures operate throughout your farmland," he said at Web Summit, of which AFP is a media partner this year.

The hard part, the panelists said: AI models have to be trained on massive amounts of data.

Although farmers tend to be data-obsessed -- painstakingly tracking environmental conditions, inputs and productivity -- gathering and processing that information around the world is complex.

"It's quite resource-intensive. You need servers, you need an immense repository of data," said Mieses, 39.

"It's the same old story of garbage in, garbage out."

- Climate question -

The agriculture industry faces criticism in countries like Brazil, whose rise as an agricultural powerhouse has also seen a surge of environmental destruction in key regions like the Amazon rainforest, a vital resource against climate change.

Innovation optimists argue that, with the world's population expected to reach nearly 10 billion people by 2050, technologies like AI are humanity's best hope for surviving without destroying the planet.

Mariana Vasconcelos is the 32-year-old chief executive of Brazilian startup Agrosmart, which uses AI to help farmers manage climate risks and produce more sustainably.

"The UN Food and Agriculture Organization says we need to increase food production to feed a growing population. At the same time, we have to produce with less: less land, less deforestation, less carbon footprint. How can we do that without technology?" she said.

"Agriculture is often seen as opposed to nature. But I think technology is showing that actually it can regenerate, restore the environment, work together with nature... Agriculture is headed for a more sustainable model."

L.Muratori--NZN