4.1 Read 176 reviews
Overview
What you will study
The Artificial Intelligence for Agriculture Technology and Climate Change course offered by University of Oxford emphasises AI for Good, and AI with cyber-physical systems, i.e., AI with Edge, systems thinking, and design thinking.
You will gain a unique understanding of applying AI to complex, interdisciplinary problems based on data. You are expected to take an exploratory and data-driven mindset for the emerging domain. You do not need to know how to code, but some understanding and prior experience would be beneficial.
The course includes coding-based demonstrations and case studies for farmvibes.ai, including microclimate prediction, sustainability, what-if (causal) analysis, data fusion, analysing satellite data, food security, and food value chain.
The course explores the impact of Artificial Intelligence on many aspects of agriculture and sustainability, including the following themes. Where possible, these themes will be covered in the context of the farmvibes.ai platform (including code).
See here for some further information on the potential of AI in agtech through the Microsoft Azure FarmBeats initiative.
Programme Structure
The program focuses on:
- Autonomous systems: agricultural robots and drone monitoring systems, driverless tractors, automated sprinklers and self-harvesting machines etc.
- Crop analysis: monitoring soil quality, promoting organic crops, monitoring weeds, precision agriculture, using drones for crop analysis
- AI for Good
- Sustainability and climate change
- Yield and demand forecasting
- Food tech/wider value chain including impact of blockchain
- Technology deployment like sensors , Industry 4.0 etc
- AI and agtech in the emerging markets
- How to scale AI for agtech applications
- Responsible AI in agriculture
- Data sharing
- Agtech entrepreneurship
- Emerging market challenges
- Innovation in agtech
Key information
Duration
- Part-time
- 12 days
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
Language
English
Delivered
Online
Disciplines
Climate Studies & Meteorology Agriculture Artificial Intelligence View 14 other Short Courses in Climate Studies & Meteorology in United KingdomAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This new course is for professionals in the agriculture, agtech, sustainability/climate change and food value chain sectors who aspire to be pioneers in the application of artificial intelligence (AI) in these domains.
Tuition Fee
To always see correct tuition fees
-
International
875 GBP/fullTuition FeeBased on the tuition of 875 GBP for the full programme during 12 days. -
National
875 GBP/fullTuition FeeBased on the tuition of 875 GBP for the full programme during 12 days.
Funding
Improve page content