Digital AI in agriculture has great potential to help farmers make management decisions based on gathering data, transforming that data into actionable information and then taking those actions. In this session Professor Rains presented work his lab is currently working on to assess multiple data management schemes for storage, analysis and management to track each individual plants growth, crop inputs and field production. Professor Rains also went over some recent work to forecast irrigation based on soil, weather and plant data using LSTM hybrid models and the challenges of developing and using a chatbot in agriculture.
Access the recording here.