The Farmer's Almanac Gets an Upgrade: GenAI's Applications for Sustainable Agriculture
This IDC Market Note dives deeper into one of the more concrete applications for generative AI (GenAI) in sustainability. The incredibly data intense field of industrial agriculture has seen innovation after innovation as this industry is at the heart of many countries' GDP. With climate and crop models utilizing a wide variety of data sets, gathering trustworthy data and creating a single source of truth can be incredibly difficult for farmers. However, with the advent of generative AI and natural language processing models, farmers can generate optimized planting schedules, crop protection measures, and disease and pest mitigation strategies and on average create a much more robust and resilient crop with the use of fewer resources.
Please Note: Extended description available upon request.
- Executive Snapshot
- In This Market Note
- IDC's Point of View
- Use Cases for Generative AI in Sustainable Agriculture
- Crop Optimization
- Disease Detection and Prevention
- Sustainable Pest Management
- Climate-Resilient Crop Breeding
- Soil Health Improvement
- Resource-Efficient Irrigation
- Current Market Offerings
- Ethical Implications
- Learn More
- Synopsis
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