Each morning Indian farmer R. Murali opens an app on his phone to check if his pomegranate trees need watering, fertilizer or are at risk from pests.
“It is a routine,” Murali, 51, said at his farm in the southern state of Karnataka. “Like praying to God every day.”
Much of India’s vast agricultural economy — employing more than 45 percent of the workforce — remains deeply traditional, beset by problems made worse by extreme weather driven by climate change.
Photo: AFP
Murali is part of an increasing number of growers in the world’s most populous nation who have adopted artificial intelligence (AI)-powered tools, which he says helps him farm “more efficiently and effectively.”
“The app is the first thing I check as soon as I wake up,” said Murali, whose farm is planted with sensors providing constant updates on soil moisture, nutrient levels and farm-level weather forecasts.
The AI system developed by tech start-up Fasal, which details when and how much water, fertilizer and pesticide is needed, has slashed costs by one-fifth without reducing yields, he said.
“What we have built is a technology that allows crops to talk to their farmers,” said Ananda Verma, a founder of Fasal, which serves about 12,000 farmers.
Verma, 35, who began developing the system in 2017 to understand soil moisture as a “do-it-yourself” project for his father’s farm, called it a tool “to make better decisions.”
However, Fasal’s products cost US$57 to US$287 to install.
That is a high price in a country where farmers’ average monthly income is US$117, and where more than 85 percent of farms are smaller than two hectares, according to government figures.
“We have the technology, but the availability of risk capital in India is limited,” Verma said.
New Delhi says it is determined to develop homegrown and low-cost AI, with Indian Prime Minister Narendra Modi to co-host an AI summit in France opening on tomorrow.
Agriculture, which accounts for about 15 percent of India’s economy, is one area ripe for its application. Farms are in dire need of investment and modernization.
Water shortages, floods and increasingly erratic weather, as well as debt, have taken a heavy toll in an industry that employs about two-thirds of India’s 1.4 billion population. India is already home to more than 450 agritech start-ups with the sector’s projected valuation at US$24 billion, a 2023 report by the Indian government’s NITI Aayog think tank showed.
However, the report also said that a lack of digital literacy often resulted in the poor adoption of agritech solutions.
Among those companies is Niqo Robotics, which has developed a system using AI cameras attached to focused chemical spraying machines.
Tractor-fitted sprays assess each plant to provide the ideal amount of chemicals, reducing input costs and limiting environmental damage, it says.
Niqo claims its users in Maharashtra and Andhra Pradesh states have cut their outlay on chemicals by up to 90 percent.
At another start-up, BeePrecise, Rishina Kuruvilla is part of team that has developed AI monitors measuring the health of beehives.
That includes moisture, temperature and even the sound of bees — a way to track the queen bee’s activities.
Kuruvilla said the tool helped beekeepers harvest honey that is “a little more organic and better for consumption.”
However, while AI tech is blossoming, take-up among farmers is slow, because many cannot afford it.
The Indian government must meet the cost, said Agricultural economist R.S. Deshpande, a visiting professor at Bengaluru’s Institute for Social and Economic Change.
Many farmers “are surviving” only because they eat what they grow, he said.
“Since they own a farm, they take the farm produce home,” he said. “If the government is ready, India is ready.”
Taiwan’s foreign exchange reserves fell below the US$600 billion mark at the end of last month, with the central bank reporting a total of US$596.89 billion — a decline of US$8.6 billion from February — ending a three-month streak of increases. The central bank attributed the drop to a combination of factors such as outflows by foreign institutional investors, currency fluctuations and its own market interventions. “The large-scale outflows disrupted the balance of supply and demand in the foreign exchange market, prompting the central bank to intervene repeatedly by selling US dollars to stabilize the local currency,” Department of Foreign
ENERGY ISSUES: The TSIA urged the government to increase natural gas and helium reserves to reduce the impact of the Middle East war on semiconductor supply stability Chip testing and packaging service provider ASE Technology Holding Co (日月光投控) yesterday said it planned to invest more than NT$100 billion (US$3.15 billion) in building a new advanced chip testing facility in Kaohsiung to keep up with customer demand driven by the artificial intelligence (AI) boom. That would be included in the company’s capital expenditure budget next year, ASE said. There is also room to raise this year’s capital spending budget from a record-high US$7 billion estimated three months ago, it added. ASE would have six factories under construction this year, another record-breaking number, ASE chief operating officer Tien Wu
The EU and US are nearing an agreement to coordinate on producing and securing critical minerals, part of a push to break reliance on Chinese supplies. The potential deal would create incentives, such as minimum prices, that could advantage non-Chinese suppliers, according to a draft of an “action plan” seen by Bloomberg. The EU and US would also cooperate on standards, investments and joint projects, as well as coordinate on any supply disruptions by countries like China. The two sides are additionally seeking other “like-minded partners” to join a multicountry accord to help create these new critical mineral supply chains, which feed into
For weeks now, the global tech industry has been waiting for a major artificial intelligence (AI) launch from DeepSeek (深度求索), seen as a benchmark for China’s progress in the fast-moving field. More than a year has passed since the start-up put Chinese AI on the map in early last year with a low-cost chatbot that performed at a similar level to US rivals. However, despite reports and rumors about its imminent release, DeepSeek’s next-generation “V4” model is nowhere in sight. Speculation is also swirling over the geopolitical implications of which computer chips were chosen to train and power the new