AI in Agriculture

At Xyonix, we teach machines to read your agriculture related content, see your crop imagery, and understand what your soil, pest and climate data is telling you.

Technological advancements in artificial intelligence are rapidly changing agriculture. We are seeing drastic changes in population, climate and food production needs. AI and machine learning technologies transform data generated from agricultural machinery, satellites and drones from its complex and often unstructured forms into insights and predictions.  This transformation ultimately yields improved operational efficiency; accurate harvest prediction, robotically guided precision crop spraying, and AI driven sowing advisories are all helping to increase crop yields.

With this enhanced insights from machines, your custom built Agriculture AI models can give you deep insights and make high value, crop related predictions for you and your team.

Crop monitoring

Multispectral imagery of agricultural land can be used to observe patterns and make predictions about crop health, yield, and identification

Crop price prediction

Machine learning models can analyze data from factors like weather and market prices to make accurate predictions about crop prices.

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Werner Koepf

“Xyonix helped us take our technology and product to the next level. What the team was able to accomplish in just a few months was extremely impressive.”

—Werner Koepf, CTO @ Conversica, Inc., PhD [more]

Want to dig deeper? Read our article about how AI is transforming agriculture:

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Farming is Dying – Can AI and AgTech Save It?
Farming is Dying – Can AI and AgTech Save It?

The global food supply is on the brink of crisis. Facing challenges like an aging workforce, labor shortages, declining crop yields, and climate change amongst others, farming is in dire need of a lifeline. AI and AgTech are emerging as the saviors of agriculture, transforming everything from crop breeding to farm-to-table traceability. These revolutionary technologies promise to enhance sustainability, improve yields, and reduce environmental impact. With the urgency for innovation greater than ever, AI is the essential lifeline the agricultural industry needs to secure a resilient and efficient future.

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Drones to Robot Farm Hands, AI Transforms Agriculture

From detecting pests to predicting which crops will deliver the best returns, artificial intelligence can help humanity oppose one of its biggest challenges: feeding an additional 2 billion people by 2050 without harming the planet. AI is steadily emerging as an essential part of the agricultural industry’s technological evolution including self-driving machinery and flying robots that are able to automatically survey and treat crops.

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