AI, big data, digital and future of agriculture
summary
Research shows farm sensors and IoT already produce half a million data points per day on some research sites, and pilots combine cloud, AI and image processing to automate tasks such as a mushroom image-processing decision support system that chooses which mushrooms to prune or harvest (robotic harvesting is the planned next step). Dairy farms stream per-second biomarker and movement data from milking robots sending per-second biomarkers, yet integration fails: no standards, unclear ownership, privacy gaps and low farmer adoption block real-world impact.
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chapters (13)
- 0:00Intro
- 0:52Data Management and Privacy Governance Digital Platform
- 1:32Paradigm Shift in Agriculture and Food Production
- 4:50Food Traceability
- 6:35Digital Greenhouse and Automation
- 7:31Automation of Farm Management: Crop and Livestock
- 8:21Climate Change and Automation
- 10:18Digital Transformation Requirement
- 14:22Digital Transformation: Privacy and Confidentiality
- 15:35Digital Transformation: Data Governance
- 16:22Digital Transformation: Human Aspects of Digital Agriculture
- 18:06Digital Transformation: How to
- 22:46Pipeline for Agriculture Data
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