How can big data analytics and AI-based decision support systems help farmers optimize input use, reduce risks, and improve farm profitability?
I would include Edge Computing here because farms are in the remote field where devices (camera/sensors) to monitor the crops need to be installed. These device can effectively be connected using satellite internet service providers. An application will be used as UI (User Interface) that will receive constant feeds from the devices (Camera/Sensors). This all communication capitalize the concept of the Big Data, AI Technologies are used to process data by using algorithms. What you need here?
1. Camera/Sensors.
2. Internet Connection.
3. Data storage/communication. (Edge/Cloud)
4. Machine Learning Algorithms. (Edge/Clouse for application layer)
5. User Interface/Application.
Big data analytics and AI-based decision support systems can help farmers optimize fertilizer and pesticide use, predict weather and pest outbreaks, guide crop selection, reduce risks, and ultimately improve profitability through informed, data-driven decisions.
Big data analytics and AI-based decision support systems empower farmers to optimize input use, forecast weather and pest risks, and select suitable crops, enabling evidence-based decisions that reduce uncertainties, cut costs, and improve farm-level profitability.
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