Artificial Intelligence for Agriculture Technology and Climate Change (online)


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.

The philosophy of the course is based on applying AI techniques to specific problems in agriculture and climate change, and exploring the broader impact of these technologies in the food value chain.  
You will gain a unique understanding of applying AI to complex, interdisciplinary problems based on data.  

The course emphasises AI for Good, and AI with cyber-physical systems, i.e., AI with Edge, systems thinking, and design thinking.  
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, 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 platform (including code).
See here for some further information on the potential of AI in agtech through the Microsoft Azure FarmBeats initiative.

  • Digital agriculture and the impact of AI 

    • Supply chain
    • Sustainability (carbon/water/climate) 
    • Integrated solutions for agriculture value chain 

    • Social innovation 

    • Small farm holdings (unique considerations) 

    • Processing of agricultural produce 

    • Pest control 

  • Management and market ecosystems for AI and AgTech 

    • Farm management and planning  

    • Data management for farms  

    • Water management for agriculture 

    • Soil management for agriculture  

    • Management of labour in farms 

    • Financing and insurance 

    • Market access, including marketplaces  

    • Crop marketing 

    • Trading platforms

    • Food recovery / preventing loss  

  • AI and AgTech Technologies 

    • Satellites and data management 

    • Microclimate  

    • Genomics 

    • Precision applications  

    • Imaging systems & services  

    • Robotics 

    • Sensors and IoT  

    • Controlled agriculture environment (vertical farming, hydroponics, etc.) 

  • Analytics 

    • Yield forecasting  

    • Farm data aggregators, integrators, analytics 

    • Agriculture metrics

The above may be subject to minor changes and adjustments

Dates, Times and Delivery

The Artificial Intelligence for Agriculture Technology and Climate Change (online) course will run over six sessions from 5 – 16 June 2023.

These live video sessions will be held on Microsoft Teams at 15:00 – 18:00 (UK time) on:

  • Monday 5 June
  • Wednesday 7 June
  • Friday 9 June
  • Monday 12 June
  • Wednesday 14 June
  • Friday 16 June

A world clock, and time zone converter can be found here:

Programme details

Some of the themes covered in this course include the use of artificial intelligence in:

  • 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

The primary implementation and data partner for this course is the Agricultural Development Trust Baramati and the programme implementing partner will be AIC-ADT Baramati Foundation (Innovation and Incubation centre)

NVIDIA Omniverse™ is a scalable, multi-GPU real-time reference development platform for 3D simulation and design collaboration. In this course, we will discuss and demonstrate how this technology can be used to model agriculture based phenomena including climate change. The course participants will be encouraged to develop their own extensions and applications for Omniverse based on climate change and agtech models.

Other partner companies and speakers will be announced soon.


Participants who attend the full course will receive a University of Oxford electronic certificate of attendance. 

The certificate will show your name, the course title and the dates of the course you attended.

You will be required to attend all of the live sessions on the course in order to be considered for an attendance certificate. 


Description Costs
Standard Course Fee £795.00


Fees include electronic copies of course materials.

All courses are VAT exempt.

Register immediately online 

Click the “book now” button on this webpage. Payment by credit or debit card is required.


The tutors listed below may be subject to change.

Ajit Jaokar

Course Director and Tutor

Based in London, Ajit's work spans research, entrepreneurship and academia relating to artificial intelligence (AI) and the internet of things (IoT). 

Ajit is the Course Director and/or tutor for Continuing Education’s portfolio of artificial intelligence courses for professionals:

Ajit is also a Visiting Fellow in the Department of Engineering Science here at the University of Oxford.

He also works as a Data Scientist through his company feynlabs - focusing on building innovative early stage AI prototypes for domains such as cybersecurity, robotics and healthcare.

Besides the University of Oxford, Ajit has also conducted AI courses in the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM) and as part of the The Future Society at the Harvard Kennedy School of Government.

He is also currently working on a book to teach AI using mathematical foundations at high school level. 

Ajit was listed in the top 30 influencers for IoT for 2017 along with Amazon, Bosch, Cisco, Forrester and Gartner by the German insurance company Munich Re.

Ajit publishes extensively on KDnuggets and Data Science Central.

He was recently included in top 16 influencers (Data Science Central), Top 100 blogs (KDnuggets), Top 50 (IoT central), and 19th among the top 50 twitter IoT influencers (IoT Institute). 

His PhD research is based on AI and Affective Computing (how AI interprets emotion).

Ms Ayşe Mutlu

Senior Course Tutor

Data Scientist

Ayşe Mutlu is a data scientist working on Azure AI and devops technologies. Based in London, Ayşe’s work involves building and deploying Machine Learning and Deep Learning models using the Microsoft Azure framework (Azure DevOps and Azure Pipelines).

She enjoys coding in Python and contributing to Open Source Initiatives in Python.

Ranveer Chandra

Course Tutor

Managing Director, Research for Industry, Networking Research, CTO, Agri-Food, Microsoft

Ranveer Chandra is the Managing Director of Industry Research at Microsoft, where he is leading a team driving innovations across different industries. He also serves as the CTO of Agri-Food at Microsoft, and leads Networking Research in Microsoft Research, Redmond. Previously, he was the Chief Scientist of Microsoft Azure Global.

Ranveer's research has shipped as part of multiple Microsoft products, including VirtualWiFi and low-power algorithms in Windows 7, Windows 8, and Windows 10, Energy Profiler in Visual Studio, and the Wireless Controller Protocol in XBOX One.

Ranveer started the FarmBeats project at Microsoft Research in 2015, and has been leading it since then. He is also leading the battery research project, and the white space networking project at Microsoft Research. He was invited to the USDA to present his work on FarmBeats, including to the Secretary, this work was featured by Bill Gates in GatesNotes, and was selected by Satya Nadella as one of 10 projects that inspired him in 2017. Ranveer has also been invited to the FCC to present his work on TV white spaces, and spectrum regulators from India, China, Brazil, Singapore and US (including the FCC chairman) have visited the Microsoft campus to see his deployment of the world’s first urban white space network. As part of his doctoral dissertation, Ranveer developed VirtualWiFi. The software has been downloaded more than 750,000 times and is among the top 5 downloaded software released by Microsoft Research. It is shipping as a feature in Windows since 2009.

Ranveer has published more than 100 papers, and holds over 150 patents granted by USPTO. His research has been cited by the popular press, such as MIT Technology Review, The Economist, New York Times, WSJ, among others. He has won several awards, including best paper awards, and the MIT Technology Review's Top Innovators Under 35, TR35. He was recently recognized as one of America's 50 Most Disruptive Innovators by the Newsweek magazine. Ranveer has an undergraduate degree from IIT Kharagpur, India and a PhD from Cornell University.

Dr Robin Cole

Course Tutor

Robin holds a PhD in physics from the University of Cambridge and has worked in a number of research and development roles within industry.  

He currently works as a senior data scientist at a satellite imagery company where he applies cutting edge deep learning techniques to remote sensing imagery.  

Robin has a decade of experience with the Python programming language and has expertise in the use of cloud computing infrastructure.  

Robin is a passionate advocate for the open source software movement and makes regular contributions online and has presented at Python conferences and appeared on podcasts. 

Prof Nilesh Nalawade

Course Tutor

Prof. Nilesh Nalawade currently serves as the CEO of Agricultural Development Trust Baramati, one of India’s premier agricultural research and development organizations which is also the parent organization of Krishi Vigyan Kendra Baramati, India’s national and international award winning farm science centre.  

Prof. Nalawade completed his post-graduate studies in animal sciences at the Wageningen University, Netherlands.  

He has a rich and varied experience in conceptualization and development of various successful bilateral initiatives such as starting the first international undergraduate programme at Baramati, India, in the agriculture sector in collaboration with Van Hall Larenstein University in the Netherlands, setting up of the Indo-Dutch Centre of Excellence for Vegetables, setting up of Centre of Excellence for Animal Genetic Improvement, etc. 

He has a natural affinity for technology and innovation and has implemented his ideas in these spaces by leading the setting up of the Atal Incubation Center ADT Baramati Foundation, India’s largest Innovation and Incubation Centre, where he mentors over 30 of the brightest start-ups and many more aspiring entrepreneurs and innovators from across India.  

He has received various national and international awards for his work such as the prestigious Rastriya Vidya Saraswati Pursaskar. He has also published multiple high-impact, peer reviewed research papers in the agriculture and animal sciences sectors and held a position as a Member of the Management Committee  of National Institute of Abiotic Stress Management Baramati. 

Yogesh Balasaheb Phatake

Course Tutor

Dr. Yogesh Phatake is an Assistant Professor in the Department of Microbiology, Shardabai Pawar Mahila Arts, Commerce and Science College affiliated to Savitribai Phule Pune University (MH), India and has teaching and research experience of over ten years.

After completing his post graduation in 2012 he had clear CSIR NET exam with all India rank 22, SET exam and Gate exam with 98.22 percentile score.
Yogesh also completed his Ph.D. in 2019.
His doctoral work was based upon therapeutic applications of biopigments produced by bacteria. He was recently awarded with the Ph.D. Guideship by Savitribai Phule Pune University (Pune).

Yogesh has presented his research work in many national and international conferences and was awarded the best oral presentation award at the international conference held at D. Y. Patil college Pune. Yogesh has 22 research publications in reputed national and international journals.

His passion for teaching different life science subjects motivate him to use his skills for the betterment of bright students coming from rural regions.
He frequently delivers guest lectures at different educational institutes.

Yogesh like to work in different fields of life sciences like Agriculture Microbiology, Fermentation technology, Plant-microbial interactions, Biofertilizers, Biofilms, Nanofertilizers, Adaptic stress management, Hydroponics etc.


If you would like to discuss your application or any part of the application process before applying, please click Contact Us at the top of this page.

Level and demands

If you're uncertain whether this course is suitable for your requirements, please email us with any questions you may have.

IT requirements

This course is delivered online using Microsoft Teams. You will be required to follow and implement the instructions we send you to fully access Microsoft Teams on the University of Oxford's secure IT network.

To participate you must be familiar with using a computer for purposes such as sending email and searching the Internet. You will also need regular access to the Internet and a computer meeting our recommended minimum computer specification.
It is advised to use headphones with working speakers and microphone.