AI in Agriculture and Food Supply

The usual agricultural practices will not be able to feed the World, as demand for agricultural products increases while agricultural land remains limited. In many ways today’s agricultural practices are inefficient, with irrigation wasting an estimated 80-90% of the water used and about 40% of farms globally overuse fertilizers and chemicals, leading to harmful effects on soil and water quality, and consequently yield per unit area. Today, many of the new startups in agricultural sector are adapting AI-enabled approaches to increase the efficiency of agricultural or farming systems and distribution. The recent studies reported that the global market size for AI in Agriculture is expected to reach 1550 million US$ by the end of 2025. Implementing AI-empowered approaches could detect soil fertility issue, diseases, pest infestation and climate changes sooner and respond smartly. Many successful businesses in agricultural sector are now getting help of AI-enabled approaches in processing agricultural data and receiving decisions to reduce the adverse outcomes.

Objectives:

  • Better understanding on Advantage of implementing AI in Agriculture and Food Industry
  • AI for improved crop management practices - efficient ways to produce, harvest and sell essential crops
  • AI solutions to solve the challenges like climate variation, soil nutrition, infestation of pests and weeds that reduces yields by farmers and Strengthened knowledge on efficient and sustainable agro-based businesses using AI and other ICT tools.

Course Outline

  • Introduction to AI
  • Types of AI capabilities & techniques used
  • AI and its potential for different types of organizations (public and private)
  • Understanding the limitations of AI
  • Appropriate AI techniques and operational opportunities 
  • Technology available for AI relevant to Agro-Industry and Food Supply
  • AI in decision making for agricultural professionals and farmers
  • A positive future with AI and ML (Machine Learning)
  • The Symbiosis of Distributed Ledger and Machine Learning as a Relevance for Autonomy in the Internet of Things (IoT) 
  • Benefits and Risks of AI
  • Impact and Benefits of AI for a sustainable future Agri-Business and Food Industry
  • Case Studies on application of AI in Agriculture and Food Supply

Target Audience

  • Agriculturists, Practitioners, Decision makers/Policymakers and Development Partners.
  • Those with a responsibility or interest in the intersection of ICT, digital tools and agriculture across the world.

 

Stay In Touch

Please fill out all information below and you will receive an email within a 24 hour period for any further questions please fillup the form and our scheduling department and they will assist you.