AI Holds Promise and Peril For the Future of Farming
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Agriculture faces challenges like pests, soil degradation, and weeds that reduce yields and increase costs. AI can help identify and manage these issues.
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AI leverages data like weather patterns and images to predict pest invasions and guide interventions. This reduces crop losses and chemical usage.
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AI analyzes data from sensors and satellites to monitor soil health and optimize irrigation and nutrients. This enhances productivity and sustainability.
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Computer vision helps precisely identify weeds for targeted mechanical or chemical control, reducing herbicide use.
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While AI brings advantages, risks like job losses, ownership concentration, and privacy issues need governance to balance its upsides and downsides.