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