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Google launches AI-based agricultural information tool for India to provide insights on drought preparedness, irrigation | Mint
Also Read | India set to drive next generation of AI innovation: Google DeepMind's Ajjarapu Google has also shared new launches in the Indian language space. It has introduced Project Vaani in collaboration with the Indian Institute of Science (IISc). It is a large data sect which has data on 14,000 hours of speech across 58 languages from 80,000 speakers in 80 districts. Google launched IndicGenBench, to assess generation capabilities of Large Language Models (LLMs) on Indic languages. The tool is specifically designed for Indian languages. It will cover 29 languages including the ones that have never been assessed before.
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Google Introduces Agricultural Landscape Understanding (ALU) Tool for Indian Farmers
Composition of Language Models (CALM) Tool: Designed to enable coding in regional languages, the CALM tool, which is a language model tool, supports the creation and understanding of code in various Indian languages, promoting inclusivity and accessibility in the tech space. Google's Agricultural Landscape Understanding (ALU) tool represents a significant advancement in the use of AI and data analytics in Indian agriculture. By providing detailed and actionable insights to farmers, it promises to boost crop yields, improve resource management, and facilitate access to markets and financial resources. This initiative, along with the Indian government's AI-driven projects like Kisan-e-Mitra and NPSS, underscores a growing trend of integrating technology with traditional farming practices. Moreover, Google's commitment to supporting Indian languages through projects like Vaani, IndicGenBench, and the CALM tool highlights the company's broader vision of promoting digital inclusivity. As these tools and initiatives roll out, they are set to empower millions of farmers and users across India, driving growth and innovation in both agriculture and technology sectors. By bridging the gap between cutting-edge technology and grassroots agricultural practices, Google is poised to play a crucial role in shaping the future of farming in India. The ALU tool and other AI initiatives mark a transformative step towards making agriculture more efficient, sustainable, and profitable for farmers nationwide.
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Google introduces the Agricultural Landscape Understanding (ALU) tool, an AI-based solution designed to provide crucial agricultural information to Indian farmers, including drought preparedness and irrigation insights.
Google has unveiled a groundbreaking artificial intelligence (AI) tool aimed at revolutionizing the agricultural sector in India. The Agricultural Landscape Understanding (ALU) tool is designed to provide Indian farmers with vital information on drought preparedness, irrigation, and other critical aspects of farming
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.The ALU tool leverages advanced AI technologies to analyze satellite imagery and provide valuable insights to farmers. It offers a range of features, including:
These capabilities are expected to significantly enhance decision-making processes for farmers across India
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.Google has developed the ALU tool in collaboration with the Indian government and various agricultural institutions. This partnership ensures that the tool is tailored to the specific needs and challenges faced by Indian farmers. The initiative aligns with the government's efforts to modernize and improve the agricultural sector
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.The introduction of the ALU tool is expected to have a significant impact on Indian agriculture:
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Google plans to make the ALU tool widely accessible to Indian farmers through various channels, including mobile applications and web platforms. The company is also working on integrating local languages to ensure that the tool reaches a broader audience across different regions of India
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.While the initial focus is on India, Google's ALU tool has the potential for global application. The company is exploring possibilities to adapt and implement similar AI-powered agricultural solutions in other countries, particularly in regions facing similar agricultural challenges
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