Arab Times

Boot camp seeks AI fix for farmers

IBM to launch faster weather forecast system

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DAKAR, Nov 16, (RTRS): Data analyst Fabrice Sonzahi enrolled in a course on artificial intelligen­ce (AI) in Dakar, hoping to help struggling farmers improve crop yields in his home country of Ivory Coast.

He is part of an inaugural batch of students at a new AI programmin­g school in Senegal, one of the first in West Africa.

Its mission is to train local people in using data to solve pressing issues like the impact of climate change on crops.

The Dakar Institute of Technology (DIT), which opened in September, is running its first 10-week boot camp with nine students in partnershi­p with French AI school VIVADATA.

“I am convinced that by analysing data we can give (farmers) better solutions,” said Sonzahi, 30.

He plans to bring his AI skills to Ivorian startup ATA Solution, which advises farmers on how to maximise scarce resources like land and water.

The company already collects data such as soil PH, temperatur­e and moisture levels, said Sonzahi, who works with the startup as an analyst.

With AI, that data could be processed to show exactly when and where farmers should add water or fertiliser, and help strengthen their understand­ing of crop losses, he said.

Data scientists across the continent are beginning to experiment with machine learning as a tool to help farmers cope with increasing­ly erratic weather, from modelling the fastest route to market, to detecting problems in fields with drones.

In Cameroon, a new mobile phone

plunged air quality into the “severe” pollution category on more days this month, as data showed that a pledge by Prime Minister Narendra Modi to stamp out burning of crop stubble in neighbouri­ng states has not worked. (RTRS)

Boy catches big catfish:

He caught a fish “this” big. No, really.

A 9-year-old New Mexico boy landed a 42-pound (19-kilogram) blue catfish Sunday evening while fishing in the Elephant app called Agrix Tech allows farmers to photograph a leaf affected by blight and then, using AI, diagnoses the problem and recommends treatment.

A project launched in Kenya this year also uses AI to crunch big data and give smallholde­r farmers recommenda­tions such as when to plant, in a bid to avert food shortages, according to French technology firm Capgemini.

But knowledge of AI and training opportunit­ies are slim, especially in West Africa where fixes for crop failure are sorely needed, said DIT director Nicolas Poussielgu­e.

West African countries are among those hardest-hit by climate change, according to scientists, with population­s that depend largely on agricultur­e losing their livelihood­s due to worsening floods and droughts.

“For models of climate change, the basic calculatio­ns use physics. Now you can add AI, which lets you have better results to know what is going to happen and where,” said Poussielgu­e.

DIT plans to launch a bachelor’s degree in big data and a master’s in AI in 2020, each with 25 students, he added.

Not all the boot-camp participan­ts are focused on agricultur­e, but it is one of the key areas in which AI has the potential to make a difference in West Africa, besides health and education, he said. “The idea of the school is to have students who will create their own startups and products,” said Poussielgu­e.

LONDON:

Also:

Technology company IBM has said it will launch a new weather forecastin­g system which will be able to predict conditions up to 12 hours in advance and cover parts of the world which have not had access to such detailed data.

Demand for very precise and quicker weather forecasts has grown as more extreme conditions increase due to climate change and as more variable renewable energy goes to the grid.

The system, known as IBM GRAF – the Global High-Resolution Atmospheri­c Forecastin­g System – will run on a supercompu­ter and provide more detailed and higher quality forecasts.

Previously, this kind of precise forecastin­g has been available in the United states, Japan and some west European countries.

IBM’s new day-ahead forecastin­g system will provide data to cover the world, including Asia, Africa and South America, some of the regions most vulnerable to the effects of climate change, the company said.

Current global weather models cover 10-15 kilometres squared and are updated every six to 12 hours. IBM’s system will forecast down to 3 km sq and update hourly.

“The enhanced forecasts could be revolution­ary for some areas of the world, such as for a rural farmer in India or Kenya,” said Cameron Clayton, head of The Weather Company, a subsidiary of IBM.

“If you’ve never before had access to high-resolution weather data but could now anticipate thundersto­rms before they approach your fields, you can better plan for planting or harvesting,” he added.

Butte Reservoir.

Kris Flores said his son, Alex, made the big catch by himself and shattered dad’s record of reeling in a 36-pound (16-kilogram) fish.

Flores says the fourth grader named the fish Wailord after the Pokemon character. The father says his son released the fish back into the reservoir after taking some photos and videos.

The biggest fish ever reportedly caught in Elephant Butte history was 78 pounds (35 kilograms). (AP)

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