Cluster-Based Knowledge Transfer Approach for Smart Farming
Smart farming is the future of agriculture that represents the use of modern technologies with the help of Internet of Things (IoT), sensors, Big Data, robotics, and Unmanned Aerial Vehicles (UAVs/drones) etc into agriculture, leading to Agriculture 4.0. Smart farming is a farming management concept, which engenders, garner and analysis agricultural big data to ameliorate the productivity and sustainability in agriculture. Nowadays, the farmers need professional skills with technological knowledge for powering smart farming. So, that farmers can monitor and control several measuring parameters within a field and adopting the decision accordingly e.g. use of pesticides and fertilizers. In this paper, we have proposed a cluster-based knowledge transfer approach for building up smart farming. The objective is to design and develop learning framework for transforming traditional farmers into intelligent farmers, known as “iFarmer”. This study also illustrates the resent literatures of smart farming and teaching and learning lifecycle for producing organic fruits and vegetables employing smart information and communications technology (ICT).
Dewan Md. Farid, Department of Computer Science & Engineering, United International University, BANGLADESH
Aicha Sekhari Seklouli, Decision and Information Systems for Production systems (DISP) Laboratory, IUT Lumiere – University Lyon 2 FRANCE
Ouzrout Yacine, Decision and Information Systems for Production systems (DISP) Laboratory, IUT Lumiere – University Lyon 2 FRANCE
12th International Conference on Education and New Learning Technologies
Online Conference – EDULEARN 2020. 6-7 July, 2020.
Agriculture 4.0, Intelligent Farmer, Knowledge Transfer