NP30 Applied AI in Agriculture

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Why AI?

AI is revolutionizing agriculture by introducing precision farming, reducing waste, and maximizing yields. It’s important and urgent due to the growing need for sustainable practices to feed a burgeoning global population under the constraints of climate change.

For any professional in this sector, this playbook will get you started on this urgent and inevitable journey. Don’t miss out on the AI revolution – download the paper, read and apply.


  1. Soil Health Analysis: AI evaluates soil data to guide planting and fertilization.
  2. Crop Monitoring: Drones and satellites with AI identify crop health issues early.
  3. Yield Prediction: Machine learning models forecast yields for better planning.
  4. Precision Farming: AI tailors water, pesticide, and nutrient application to crop needs.
  5. Automated Weeding: Robots distinguish between crops and weeds, reducing herbicide use.
  6. Livestock Management: AI monitors health and optimizes feed for animal welfare.
  7. Supply Chain Management: Predictive analytics ensure efficient produce distribution.
  8. Pest and Disease Detection: Image recognition identifies threats before widespread damage occurs.
  9. Weather Prediction: AI models provide accurate forecasts to plan agricultural activities.
  10. Sustainable Practice Recommendations: AI suggests methods to minimize environmental impact.


(PDF, 24 pages, 10×10) This SoMe flipchart captures the main ideas from the paper, and you can post it to start an online conversation about AI in your industry with your colleagues, customers or partners.

(PDF, 2 pages, A4) This cheat sheet contains the main ideas from the paper, for your easy reference. Print it out on a double sided vertical A4, laminate and keep at hand for daily inspiration on AI.

To get started with AI, first do this:

  1. Assess Data Infrastructure: Ensure you have the capability to collect and analyze farm data.
  2. Pilot Small Projects: Start with a manageable project to learn and see the benefits of AI.
  3. Seek Expertise: Collaborate with tech providers and research institutions to develop and implement AI solutions tailored to your specific needs.
  4. Explore other resources on and check out the book “Explain for me AI”.
  5. Please contact us at for further exploration or inspiration through a talk, workshop or case study. We’d love to help!
Silvija Seres

Silvija Seres

Mathematician & AI Investor
SILVIJA SERES - Mathematician and AI investor
I have worked with AI for more than 30 years in research, development and strategy. I am very interested in helping companies drive successful digital transformation and AI applications. If you find this interesting, please get in touch on

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