AI Advice Destroys 25 Acres of Crops After Farmer Trusted Chatbot for Months
6 Sources
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Chinese farmer kills 25 acres of crops after following AI-generated weed and pest control advice -- farmer trusted pesticide recipe after months of successful advice
An elderly farmer in Chuzhou, China, has been following AI advice since he started using it a year ago, but after months of interactions, it recently gave some terrible advice that led to the death of his entire crop. According to Taiwanese outfit CTWANT [machine translated], 67-year-old Wu
[2]
Farmer trusted AI after it gave good advice, then it helped wipe out 25 acres of his crops
Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. Facepalm: Most readers of this site know not to blindly trust AI on important matters, even if it got things right before. A farmer in Chuzhou, China, discovered this the hard way when he took weed
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Farmer ends up killing 25 acres of his crops after trusting AI on herbicide advice
* A 67-year-old farmer in Chuzhou, China used an AI to find a solution to deal with weeds and pests * The chatbot provided incorrect information which the farmer did not verify * 24.7 acres of sesame seedlings were inadvertently destroyed A farmer in the Chinese city area of Chuzhou has learned
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Farmer Horrified as AI Gives Bad Advice That Kills 25 Acres of Crops
Can't-miss innovations from the bleeding edge of science and tech Whether you're looking for medical advice or tips on industrial agriculture, one thing is abundantly clear: never trust an AI chatbot without first getting a second opinion, preferably from a human who has actual expertise in the
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A Farmer Trusted AI for Months, Then It Killed 25 Acres of Crops
A 67-year-old farmer in China lost his entire sesame harvest after taking pest control advice from an AI chatbot. It's a warning for anyone who's started leaning on AI for more than just quick questions. A Year of Trust, Gone Overnight If you've ever used an AI chatbot for something small and it
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Chinese farmer trusted AI advice successfuly for a year, then one wrong suggestion destroyed his 25-acre crop in just 24 hours
AI advise gone wrong for farmer: A 67-year-old Chinese farmer trusted AI farming advice for nearly a year after finding it useful. But one recommendation on weed and pest control went badly wrong, killing sesame seedlings across his 25-acre field and highlighting the risks of relying on AI without
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A 67-year-old farmer in Chuzhou, China lost his entire 25-acre sesame harvest after following AI-recommended herbicides and pesticides without expert verification. The AI chatbot suggested a chemical mix that killed both weeds and crops overnight, highlighting the critical need for human oversight when trusting AI for agricultural advice.
A farmer in Chuzhou, China has learned an expensive lesson about AI reliability after following AI-generated weed and pest control advice that destroyed 24.7 acres of sesame crops overnight. The incident marks one of the first documented cases where AI misinformation resulted in significant real-world consequences in agriculture.
From Skeptic to Believer: A Year of Trust
67-year-old Wu initially approached the AI chatbot with skepticism when he began using it approximately a year ago
1
. However, after months of successful interactions and helpful agricultural advice on fertilizing and task scheduling, his confidence in the technology grew4
. This gradual build-up of trust eventually led him to follow the AI's recommendations without seeking expert verification or conducting any preliminary tests5
.The Fatal Chemical Mix
When Wu sought help for weed and pest problems affecting his sesame crops, the AI chatbot recommended a complex mixture of chemicals. The AI-recommended herbicides and pesticides included high-efficiency flupyrimethalin and flusulfasulfaether for weed control, combined with thiamethoxazine and methyl salt for pest management
2
. Wu applied this concoction across his entire 24.7-acre field without consulting agricultural technicians or verifying the information through independent sources1
.
Source: Futurism
Overnight Devastation
The results were catastrophic and immediate. By the following morning, both the weeds and the sesame seedlings had died en masse. "If you spray it, the next day the seedlings won't survive," Wu explained during a video interview. "Both the grass and the seedlings will die, and the seedlings will die even faster"
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. The financial impact was severe, with estimates placing the loss at approximately $21,000 worth of sesame5
.
Source: TechSpot
Understanding the Chemical Error
When Wu returned to the AI chatbot seeking answers, it identified flusulfasulfaether as the likely culprit
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. Agricultural experts confirmed this assessment, explaining that the herbicide is specifically designed to combat broadleaf weeds in soybean fields. The critical oversight was that sesame is classified as a broadleaf species by the USDA, making it highly susceptible to this particular chemical1
. Furthermore, experts noted that flusulfasulfaether should only be applied through targeted spraying on affected areas, not broadcast across entire fields as Wu had done3
.
Source: Phandroid
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The Warning That Went Unheeded
While Wu claimed the AI chatbot never warned him about the risks of following its recommendations, the chat interface did display a disclaimer stating "AI generation may be incorrect, please verify"
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. This cautionary tale underscores a fundamental issue with trusting AI: current large language models function as prediction engines, drawing from public knowledge bases that haven't been completely filtered for accuracy and factuality1
.Broader Implications for AI Adoption
This incident joins a growing list of cases where individuals across legal, medical, financial, and educational sectors have suffered consequences from acting on unverified AI-generated information
4
. The company behind the AI chatbot later acknowledged that the tool pulls answers from public information online rather than a vetted database, and stated it would investigate the source of the faulty advice5
. The incident raises critical questions about the need for human oversight and expert verification before implementing AI advice in high-stakes situations, particularly in agriculture where entire livelihoods depend on correct decision-making.References
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