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Lars Winkelbauer — Harnessing AI for Optimal Resource Management in Agriculture

Along with farming, AI is also helping in the manufacturing industry. It is mentioned in Lars Winkelbauer- AI in making manufacturing processes more sustainable. The demand for food is growing faster than ever as the worldu2019s population keeps increasing. Farmers must ensure they donu2019t waste the Earthu2019s valuable resources while producing more food. This is where AI comes in, helping farmers discover how to do all the complex tasks of modern farming.

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Lars Winkelbauer — Harnessing AI for Optimal Resource Management in Agriculture

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  1. Lars Winkelbauer — Harnessing AI for Optimal Resource Management in Agriculture

  2. A lot of effort goes into farming, and there are fields as far as anyone can see. Now, technology is carefully starting the next phase of smart farming. Artificial intelligence (AI) is at the center of this transformation in agriculture. AI is an effective tool that assists farmers in making better use of resources. They can help cut down on waste and build a more sustainable future.

  3. Along with farming, AI is also helping in the manufacturing industry. It is mentioned in Lars Winkelbauer- AI in making manufacturing processes more sustainable. The demand for food is growing faster than ever as the world’s population keeps increasing. Farmers must ensure they don’t waste the Earth’s valuable resources while producing more food. This is where AI comes in, helping farmers discover how to do all the complex tasks of modern farming.

  4. AI in Action: Precision Agriculture with Smart Sensors and Data On a farm, every crop gets exactly what it needs: nothing more and nothing less. Artificial intelligence (AI) is working to make this concept true through Precision Agriculture. Giving a farmer agricultural precision is like giving them a set of super-smart glasses. It makes it easy to see what each plant wants. Smart sensors scattered across the fields are where AI’s power in farming starts. These devices are like the farmer’s eyes and ears because they collect information about the temperature, wetness levels, health of the soil, and more.

  5. Signs come from the farm, and AI collects them and determines what they signify. AI takes all of this information to create a detailed farm map to determine which areas need more attention. Smart algorithms can tell the irrigation system only to water the dry areas of the field if they get too dry. This prevents water from going to waste. It is crucial to use water wisely as it is an essential resource.

  6. Crop Monitoring and Disease Detection AI does more than just water plants; it additionally keeps an eye out for insects and diseases. AI can identify signs of danger by looking at photographs taken by drones or cameras, like an unsung hero stepping in to save the day. Early discovery lets farmers move swiftly, reducing the need for harmful pesticides. It also ensures crops are in good health. AI helps farmers make “diet plans” for their crops that are tailored to them. It tells you the amount of fertilizer and nutrients each part of the field requires by analyzing the specifics of the soil. This personalized method increases food yields and lowers the harm that excess chemicals do to the environment.

  7. Conclusion AI is not just a popular word; it can help us reach sustainable farming in a big way. AI will make farming greener, more effective, and more sustainable. It uses smart tools, data analysis, and an advanced algorithm. As AI evolves in agriculture, we hope that future fields will be full of food and good for the planet. Also, check out Lars Winkelbauer — Navigating Sustainability with Digital Payments in Supply Chainsto learn about sustainability in supply chains. Source Credit: https://larswinkelbauer.medium.com/lars-winkelbauer-harnessing-ai-for-optimal-resource-management-in-agriculture-89bcec66b88b

  8. THANK YOU FOR WATCHING

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