Better Farming Ontario | February 2024

35 Follow us on Twitter @BetterFarmingON Better Farming | February 2024 and observational data from possibly drones, satellites, sensors and manual entry, all linked to a specific field boundary. Having sophisticated AI interactions will take massive amounts of connected data collected in near real time from equipment and sensors feeding automatically into georeferenced databases. Where are we today and where are the gaps? Surprisingly, a lot of the connectivity is possible to build the field foundation information. Sensors on equipment are collecting data and can be fed into software systems. It’s possible to collect all field activities digitally if investments in technology on-farm have been made. Some of the softer skills may need more work. My colleagues in the United States who are working on data collection offered some interesting insights: The most popular hybrid planted in a certain county was either “1” or “A” – the first entry on a pick list that did not have the hybrids pre-entered. Sometimes the simplest things can limit the usefulness of the data. To have effective AI, it will take more than one connected database. A lot of different data sources need to be connected. Data privacy, ownership and the liability of the output will need a thorough discussion. In the spirit of AI, I asked ChatGPT the following question: What can a farmer do to prepare their farm for AI? Response from ChatGPT: Integrating AI into farming operations can enhance efficiency, productivity, and decision-making. Here are several steps a farmer can take to prepare their farm for AI: 1. Understand AI applications in agriculture  Educate yourself about the various AI applications in agriculture, such as precision farming, crop monitoring, predictive analytics, and autonomous machinery. 2. Assess farm needs  Identify specific challenges and areas where AI can make a positive impact on your farm. This could include crop management, soil health, irrigation, pest control, and resource optimization. 3. Collect and manage data  AI relies heavily on data. Implement systems to collect and manage data related to your farm, including weather conditions, soil quality, crop health, and machinery performance. Ensure data is accurate, consistent, and secure. 4. Invest in sensors and IoT devices  Deploy sensors and Internet of Things (IoT) devices to gather real-time data from your farm. These devices can monitor soil moisture, temperature, crop health, and other relevant parameters. 5. Implement precision agriculture practices ALBERTA ONTARIO QUEBEC ATLANTIC WWW.STRONGCO.COM Contact your nearest branch Farmer’s choice The all-rounder for agriculture Volvo wheel loaders are built to take on the tough work you face every day. Whether you’re hauling feed, moving animal waste or carrying hay bales, your Volvo wheel loader can do it all. crops: yield matter$

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