The Fort Worth Press - 'Harvesting data': Latin American AI startups transform farming

USD -
AED 3.672504
AFN 65.000368
ALL 81.431326
AMD 361.239406
ANG 1.789785
AOA 918.000367
ARS 1544.046724
AUD 1.452222
AWG 1.8
AZN 1.70397
BAM 1.754002
BBD 2.018116
BDT 124.801578
BGN 1.747831
BHD 0.378548
BIF 2997.982153
BMD 1
BND 1.283978
BOB 12.019192
BRL 5.504904
BSD 1.002018
BTN 94.051388
BWP 13.802968
BYN 3.000673
BYR 19600
BZD 2.015246
CAD 1.41125
CDF 2320.000362
CHF 0.819824
CLF 0.024951
CLP 981.982871
CNY 6.676504
CNH 6.670804
COP 3236.357114
CRC 454.419084
CUC 1
CUP 24.048249
CVE 98.887942
CZK 21.83445
DJF 178.43146
DKK 6.708504
DOP 60.885162
DZD 136.261154
EGP 53.769786
ERN 15
ETB 164.454778
EUR 0.896804
FJD 2.265604
FKP 0.748808
GBP 0.748083
GEL 2.59504
GGP 0.748808
GHS 11.707995
GIP 0.748808
GMD 74.503851
GNF 8874.938344
GTQ 7.657056
GYD 210.062329
HKD 7.84204
HNL 26.930631
HRK 6.76901
HTG 131.321465
HUF 326.000354
IDR 18108.5
ILS 3.18593
IMP 0.748808
INR 93.910504
IQD 1519.035021
IRR 1891353.000352
ISK 122.790386
JEP 0.748808
JMD 159.024259
JOD 0.70904
JPY 158.47504
KES 130.209408
KGS 87.447804
KHR 4082.328147
KMF 442.00035
KPW 899.999961
KRW 1363.803789
KWD 0.31098
KYD 0.83512
KZT 449.127842
LAK 22542.486884
LBP 89728.711717
LKR 333.213757
LRD 170.342137
LSL 16.570826
LTL 2.95274
LVL 0.60489
LYD 6.412269
MAD 9.794718
MDL 17.910408
MGA 4553.159051
MKD 55.203803
MMK 2099.945107
MNT 3601.130253
MOP 8.088606
MRU 40.453791
MUR 47.030378
MVR 15.403739
MWK 1737.500561
MXN 18.62354
MYR 4.061504
MZN 63.903729
NAD 16.570826
NGN 1347.210377
NIO 36.87727
NOK 9.459904
NPR 150.482041
NZD 1.807175
OMR 0.384144
PAB 1.002108
PEN 3.451773
PGK 4.566611
PHP 63.108038
PKR 277.126855
PLN 3.94555
PYG 6263.39626
QAR 3.662795
RON 4.792204
RSD 105.484059
RUB 81.925564
RWF 1478.947132
SAR 3.756342
SBD 8.048583
SCR 13.773553
SDG 601.503676
SEK 9.894504
SGD 1.282704
SHP 0.748923
SLE 22.950371
SLL 20969.504398
SOS 572.620062
SRD 37.583504
STD 20697.981008
STN 21.972109
SVC 8.76732
SYP 13001.999685
SZL 16.565176
THB 33.550369
TJS 9.243442
TMT 3.5
TND 2.998341
TOP 2.40776
TRY 50.141304
TTD 6.795211
TWD 32.775304
TZS 2647.773642
UAH 45.39348
UGX 4098.470921
UYU 40.312094
UZS 11956.414511
VES 896.316404
VND 25582.5
VUV 118.73125
WST 2.787825
XAF 588.264929
XAG 0.019249
XAU 0.00024594347
XCD 2.70255
XCG 1.805838
XDR 0.707052
XOF 588.264929
XPF 106.954845
YER 236.625037
ZAR 16.51943
ZMK 9001.203584
ZMW 20.360522
ZWL 321.999592
SSP 5745.232324
MXV 2.095222
  • RIO

    -0.3300

    97.04

    -0.34%

  • CMSC

    -0.0400

    20.67

    -0.19%

  • RELX

    0.0000

    33.41

    0%

  • RBGPF

    0.0000

    67.95

    0%

  • BCE

    -0.0700

    21.99

    -0.32%

  • BCC

    -0.0300

    75.66

    -0.04%

  • GSK

    0.8600

    51.08

    +1.68%

  • JRI

    -0.0300

    11.52

    -0.26%

  • NGG

    -0.1200

    76.68

    -0.16%

  • CMSD

    0.0900

    20.54

    +0.44%

  • BTI

    -0.0800

    55.75

    -0.14%

  • AZN

    2.0200

    168.1

    +1.2%

  • BP

    -1.4200

    43.16

    -3.29%

  • RYCEF

    0.4600

    19.7

    +2.34%

  • VOD

    0.0700

    17.02

    +0.41%

'Harvesting data': Latin American AI startups transform farming
'Harvesting data': Latin American AI startups transform farming / Photo: © 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."

D.Johnson--TFWP