印度农民使用人工智能来提高产量,但高成本对广泛采用这种方法构成了挑战。 Indian farmers use AI to improve yields, but high costs challenge widespread adoption.

印度农民越来越多地使用人工智能工具来提高效率和削减成本,尽管高成本限制了采用。 Indian farmers are increasingly using AI tools to boost efficiency and cut costs, though high costs limit adoption. 例如Fasal提供系统监测土壤和天气, 提高产量达20%, 但安装费在57美元至287美元之间, 农民每月收入仅为117美元, Startups like Fasal offer systems monitoring soil and weather, improving yields up to 20%, but installation costs ranging from $57 to $287 are steep for farmers earning just $117 monthly. 印度政府的目标是制定更廉价的人工智能解决方案,以支持农业部门,该部门雇用了45%的劳动力,为经济贡献了15%。 The Indian government aims to develop more affordable AI solutions to support the agricultural sector, which employs 45% of the workforce and contributes 15% to the economy.