AI case studies in {industry}






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The project integrated on-farm sensors, satellite imagery, and historical crop data using Microsoft’s Azure Data Manager for Agriculture platform to monitor weather, soil, and nutrient conditions. FarmVibes.ai processed these data inputs and Microsoft Azure OpenAI Service translated technical details into simple, daily actionable alerts delivered via the Agripilot.ai mobile app in local languages. This solution improved decision-making in irrigation, fertilization, and pesticide application to optimize harvest timing for peak sucrose levels.
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Farm Credit Canada (FCC), an agricultural and food lending corporation, rolled out Microsoft 365 Copilot to 300 employees in early 2024 to streamline operations and boost productivity. Employees used Copilot in Microsoft 365 applications like Teams and Excel to automate tasks such as generating reports, creating presentations, and improving communication. Within six months, FCC expanded Copilot access to 1,000 employees.
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Bayer Crop Science has developed Climate FieldView, a comprehensive agricultural platform with more than 250 layers of data and billions of data points.
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Camanchaca, a Chilean seafood company, developed Elon, a virtual assistant that aims to provide more efficient customer service through digital channels, enhancing Camanchaca's customer interactions.
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KissanAI has released Dhenu Llama 3, a multilingual AI agriculture assistant tailored for Indian farmers. Built on Meta’s Llama 3 8B architecture, Dhenu understands voice and text inputs and is integrated with platforms like WhatsApp, supporting 22 languages including 9 Indian languages. This assists farmers in accessing agricultural advice and information, enhancing farming practices through advanced AI capabilities.
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Digital Green uses OpenAI's GPT-4 to develop Farmer.Chat, a generative AI chatbot that supports agricultural extension services in countries like India and Kenya. It provides farmers with tailored advice by integrating Digital Green's vast library of agricultural knowledge, including training videos and research factsheets. By enhancing extension agents' ability to assist farmers, Farmer.Chat reduces the cost of traditional services and improves access to localized farming expertise.
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