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What is AI in Agriculture

Agricultural robots, crop and soil monitoring, predictive analysis 
 

Artificial intelligence (AI), “makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Using these technologies, machines can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.” AI technology has a wide range of capabilities and can be used across different industries.

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Incorporating AI in agriculture can provide a variety of solutions for farms. As the cost of AI begins to decrease, it is becoming more accessible and affordable for small farmers everywhere. Below are the three main types of AI used in agriculture. Click "learn more" to read interviews with experts in the field.

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Agricultural Robots

Agricultural robots are physical robots run by algorithms and AI that help with agricultural tasks. The robots have the ability to harvest crops at a faster pace and higher volume. While we may be a far cry from robotic intelligence as good as Wall-E, robots with AI installed in them can be a great benefit to agriculture.

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Crop and Soil Monitoring

Crop and soil monitoring assists with disease detection and prevention on a variety of AI levels. From drones to apps, this will best illustrate the variety of AI technologies available to every farmer, particularly smaller ones.

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Predictive Analysis

Predictive analysis can help farmers answer important questions. It can track and predict environmental impacts such as weather patterns, helping farmers know when and where to plant crops. This software also demonstrates the variety of technology and price ranges available to small farmers.

Dr. Spiro Stefanou

provides an overall

perspective on AI

and its relationship

to agriculture.

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