Using artificial intelligence (AI) in decision making from farm to fork
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In modern agriculture, a tremendous amount of big data is created but rarely used. Past attempts at utilizing this data to increase yields and profitability have failed because they relied on manual input or remote internet accessibility. Combining artificial intelligence (AI), Internet of Things (IoT) and predictive analytics with industry expertise and decades of research aids stakeholders across the agriculture ecosystem in gaining insights into projected yields and potential problems, helping to enable better decisions for farmers and food companies.
- How large-scale farm data combined with industry-leading analytics helps growers increase yields and gain new insights into their fields.
- Why growers and food companies should consider artificial intelligence to help manage risk around crop health, food safety, and detection of pests and diseases.
- What enterprise solutions can offer to help farmers and food companies make better decisions from farm to fork.
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