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John Bourne VP Marketing Ceres Imaging discusses the top trends shaping the future of AI in agriculture?

Computer vision and deep-learning algorithms are being leveraged by ag tech companies to process data captured from aerial imagery, allowing growers to monitor and manage crop and soil health. Over time, these AI/machine learning models develop to track and predict various environmental impacts like water stress, disease and pest infiltration. Growers will increasingly look to use this historical data to predict yield in season and analyze the ROI on various potential fixes or investments they can make to improve yield.

Artificial intelligence and data science are important because they will empower growers to make better decisions in increasingly complex times. In a world that will be challenged by a rapidly increased food demand, climate change,a continued decline in agricultural workersand long-term sustainability concerns, farmers will look to adopt smarter tools that give them an edge, and the confidence to solve problems with certainty.

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AI and data science - AGInfo Ag Information Network