Course provides a summary of challenges present in context of Indian agriculture and possible technology interventions. Course touches upon various technologies like Sensors, IoT, Communication, Cloud, Satellite, Machine learning algorithms and their applicability to agriculture applications. It concludes with two case studies, where computing is used in agriculture use cases.
Dr Neeraj Goel is Assistant Professor in Department of Computer Science and Engineering at IIT Ropar. He has done his graduation from NIT Kurukshetra, M.Tech. and PhD from IIT Delhi. After his PhD he has worked in industry for seven years and after that he has joined IIT Ropar as Assistant Professor. He is also co-principal director at Agriculture and Water Development Hub (AwaDH) at IIT Ropar. His research interest lies in design of computer systems, applications of computer science in agriculture
domain.
Overview Computing technologies and Agriculture 4.0:
Basic terminology: IoT, communication, cloud, databases, mobile and web application.
Agriculture 4.0 requirements and expectations
Proximal Sensing and agriculture automation:
Proximal Sensors: Sensors for measuring soil, water and air quality. Automated irrigation application.
Imaging and its applications for agriculture:
Cameras, drones and satellites. Geolocation & GNSS. Application of satellite in Agriculture
Machine learning and time series data modelling and analysis: basic methods and their application in agriculture use cases.
Plant protection from weeds and diseases: Challenges and solutions
Post harvest quality assessment – Challenges and solutions
Agriculture students who want to use state of the Art technology, Engineering students want to work in agriculture and professionals working in cross-disciplinary areas of Agriculture.
Attendees should be familiar with basics of Computer Science: Computer Programming, Computer system and Basic Mathematics.
The certificate criteria is based on the Attendance and Assessment
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